(upbeat music) >> Welcome back, everyone, to our Cube special programming on "Securing Compute, Engineered for the Hybrid World." We got Cole Humphreys who's with HPE, global server security product manager, and Mike Ferron-Jones with Intel. He's the product manager for data security technology. Gentlemen, thank you for coming on this special presentation. >> All right, thanks for having us. >> So, securing compute, I mean, compute, everyone wants more compute. You can't have enough compute as far as we're concerned. You know, more bits are flying around the internet. Hardware's mattering more than ever. Performance markets hot right now for next-gen solutions. When you're talking about security, it's at the center of every single conversation. And Gen11 for the HPE has been big-time focus here. So let's get into the story. What's the market for Gen11, Cole, on the security piece? What's going on? How do you see this impacting the marketplace? >> Hey, you know, thanks. I think this is, again, just a moment in time where we're all working towards solving a problem that doesn't stop. You know, because we are looking at data protection. You know, in compute, you're looking out there, there's international impacts, there's federal impacts, there's state-level impacts, and even regulation to protect the data. So, you know, how do we do this stuff in an environment that keeps changing? >> And on the Intel side, you guys are a Tier 1 combination partner, Better Together. HPE has a deep bench on security, Intel, We know what your history is. You guys have a real root of trust with your code, down to the silicon level, continuing to be, and you're on the 4th Gen Xeon here. Mike, take us through the Intel's relationship with HPE. Super important. You guys have been working together for many, many years. Data security, chips, HPE, Gen11. Take us through the relationship. What's the update? >> Yeah, thanks and I mean, HPE and Intel have been partners in delivering technology and delivering security for decades. And when a customer invests in an HPE server, like at one of the new Gen11s, they're getting the benefit of the combined investment that these two great companies are putting into product security. On the Intel side, for example, we invest heavily in the way that we develop our products for security from the ground up, and also continue to support them once they're in the market. You know, launching a product isn't the end of our security investment. You know, our Intel Red Teams continue to hammer on Intel products looking for any kind of security vulnerability for a platform that's in the field. As well as we invest heavily in the external research community through our bug bounty programs to harness the entire creativity of the security community to find those vulnerabilities, because that allows us to patch them and make sure our customers are staying safe throughout that platform's deployed lifecycle. You know, in 2021, between Intel's internal red teams and our investments in external research, we found 93% of our own vulnerabilities. Only a small percentage were found by unaffiliated external entities. >> Cole, HPE has a great track record and long history serving customers around security, actually, with the solutions you guys had. With Gen11, it's more important than ever. Can you share your thoughts on the talent gap out there? People want to move faster, breaches are happening at a higher velocity. They need more protection now than ever before. Can you share your thoughts on why these breaches are happening, and what you guys are doing, and how you guys see this happening from a customer standpoint? What you guys fill in with Gen11 with solution? >> You bet, you know, because when you hear about the relentless pursuit of innovation from our partners, and we in our engineering organizations in India, and Taiwan, and the Americas all collaborating together years in advance, are about delivering solutions that help protect our customer's environments. But what you hear Mike talking about is it's also about keeping 'em safe. Because you look to the market, right? What you see in, at least from our data from 2021, we have that breaches are still happening, and lot of it has to do with the fact that there is just a lack of adequate security staff with the necessary skills to protect the customer's application and ultimately the workloads. And then that's how these breaches are happening. Because ultimately you need to see some sort of control and visibility of what's going on out there. And what we were talking about earlier is you see time. Time to seeing some incident happen, the blast radius can be tremendous in today's technical, advanced world. And so you have to identify it and then correct it quickly, and that's why this continued innovation and partnership is so important, to help work together to keep up. >> You guys have had a great track record with Intel-based platforms with HPE. Gen11's a really big part of the story. Where do you see that impacting customers? Can you explain the benefits of what's going on with Gen11? What's the key story? What's the most important thing we should be paying attention to here? >> I think there's probably three areas as we look into this generation. And again, this is a point in time, we will continue to evolve. But at this particular point it's about, you know, a fundamental approach to our security enablement, right? Partnering as a Tier 1 OEM with one of the best in the industry, right? We can deliver systems that help protect some of the most critical infrastructure on earth, right? I know of some things that are required to have a non-disclosure because it is some of the most important jobs that you would see out there. And working together with Intel to protect those specific compute workloads, that's a serious deal that protects not only state, and local, and federal interests, but, really, a global one. >> This is a really- >> And then there's another one- Oh sorry. >> No, go ahead. Finish your thought. >> And then there's another one that I would call our uncompromising focus. We work in the industry, we lead and partner with those in the, I would say, in the good side. And we want to focus on enablement through a specific capability set, let's call it our global operations, and that ability to protect our supply chain and deliver infrastructure that can be trusted and into an operating environment. You put all those together and you see very significant and meaningful solutions together. >> The operating benefits are significant. I just want to go back to something you just said before about the joint NDAs and kind of the relationship you kind of unpacked, that to me, you know, I heard you guys say from sand to server, I love that phrase, because, you know, silicone into the server. But this is a combination you guys have with HPE and Intel supply-chain security. I mean, it's not just like you're getting chips and sticking them into a machine. This is, like, there's an in-depth relationship on the supply chain that has a very intricate piece to it. Can you guys just double down on that and share that, how that works and why it's important? >> Sure, so why don't I go ahead and start on that one. So, you know, as you mentioned the, you know, the supply chain that ultimately results in an end user pulling, you know, a new Gen11 HPE server out of the box, you know, started, you know, way, way back in it. And we've been, you know, Intel, from our part are, you know, invest heavily in making sure that all of our entire supply chain to deliver all of the Intel components that are inside that HPE platform have been protected and monitored ever since, you know, their inception at one of any of our 14,000, you know, Intel vendors that we monitor as part of our supply-chain assurance program. I mean we, you know, Intel, you know, invests heavily in compliance with guidelines from places like NIST and ISO, as well as, you know, doing best practices under things like the Transported Asset Protection Alliance, TAPA. You know, we have been intensely invested in making sure that when a customer gets an Intel processor, or any other Intel silicone product, that it has not been tampered with or altered during its trip through the supply chain. HPE then is able to pick up that, those components that we deliver, and add onto that their own supply-chain assurance when it comes down to delivering, you know, the final product to the customer. >> Cole, do you want to- >> That's exactly right. Yeah, I feel like that integration point is a really good segue into why we're talking today, right? Because that then comes into a global operations network that is pulling together these servers and able to deploy 'em all over the world. And as part of the Gen11 launch, we have security services that allow 'em to be hardened from our factories to that next stage into that trusted partner ecosystem for system integration, or directly to customers, right? So that ability to have that chain of trust. And it's not only about attestation and knowing what, you know, came from whom, because, obviously, you want to trust and make sure you're get getting the parts from Intel to build your technical solutions. But it's also about some of the provisioning we're doing in our global operations where we're putting cryptographic identities and manifests of the server and its components and moving it through that supply chain. So you talked about this common challenge we have of assuring no tampering of that device through the supply chain, and that's why this partnering is so important. We deliver secure solutions, we move them, you're able to see and control that information to verify they've not been tampered with, and you move on to your next stage of this very complicated and necessary chain of trust to build, you know, what some people are calling zero-trust type ecosystems. >> Yeah, it's interesting. You know, a lot goes on under the covers. That's good though, right? You want to have greater security and platform integrity, if you can abstract the way the complexity, that's key. Now one of the things I like about this conversation is that you mentioned this idea of a hardware-root-of-trust set of technologies. Can you guys just quickly touch on that, because that's one of the major benefits we see from this combination of the partnership, is that it's not just one, each party doing something, it's the combination. But this notion of hardware-root-of-trust technologies, what is that? >> Yeah, well let me, why don't I go ahead and start on that, and then, you know, Cole can take it from there. Because we provide some of the foundational technologies that underlie a root of trust. Now the idea behind a root of trust, of course, is that you want your platform to, you know, from the moment that first electron hits it from the power supply, that it has a chain of trust that all of the software, firmware, BIOS is loading, to bring that platform up into an operational state is trusted. If you have a breach in one of those lower-level code bases, like in the BIOS or in the system firmware, that can be a huge problem. It can undermine every other software-based security protection that you may have implemented up the stack. So, you know, Intel and HPE work together to coordinate our trusted boot and root-of-trust technologies to make sure that when a customer, you know, boots that platform up, it boots up into a known good state so that it is ready for the customer's workload. So on the Intel side, we've got technologies like our trusted execution technology, or Intel Boot Guard, that then feed into the HPE iLO system to help, you know, create that chain of trust that's rooted in silicon to be able to deliver that known good state to the customer so it's ready for workloads. >> All right, Cole, I got to ask you, with Gen11 HPE platforms that has 4th Gen Intel Xeon, what are the customers really getting? >> So, you know, what a great setup. I'm smiling because it's, like, it has a good answer, because one, this, you know, to be clear, this isn't the first time we've worked on this root-of-trust problem. You know, we have a construct that we call the HPE Silicon Root of Trust. You know, there are, it's an industry standard construct, it's not a proprietary solution to HPE, but it does follow some differentiated steps that we like to say make a little difference in how it's best implemented. And where you see that is that tight, you know, Intel Trusted Execution exchange. The Intel Trusted Execution exchange is a very important step to assuring that route of trust in that HPE Silicon Root of Trust construct, right? So they're not different things, right? We just have an umbrella that we pull under our ProLiant, because there's ILO, our BIOS team, CPLDs, firmware, but I'll tell you this, Gen11, you know, while all that, keeping that moving forward would be good enough, we are not holding to that. We are moving forward. Our uncompromising focus, we want to drive more visibility into that Gen11 server, specifically into the PCIE lanes. And now you're going to be able to see, and measure, and make policies to have control and visibility of the PCI devices, like storage controllers, NICs, direct connect, NVME drives, et cetera. You know, if you follow the trends of where the industry would like to go, all the components in a server would be able to be seen and attested for full infrastructure integrity, right? So, but this is a meaningful step forward between not only the greatness we do together, but, I would say, a little uncompromising focus on this problem and doing a little bit more to make Gen11 Intel's server just a little better for the challenges of the future. >> Yeah, the Tier 1 partnership is really kind of highlighted there. Great, great point. I got to ask you, Mike, on the 4th Gen Xeon Scalable capabilities, what does it do for the customer with Gen11 now that they have these breaches? Does it eliminate stuff? What's in it for the customer? What are some of the new things coming out with the Xeon? You're at Gen4, Gen11 for HP, but you guys have new stuff. What does it do for the customer? Does it help eliminate breaches? Are there things that are inherent in the product that HP is jointly working with you on or you were contributing in to the relationship that we should know about? What's new? >> Yeah, well there's so much great new stuff in our new 4th Gen Xeon Scalable processor. This is the one that was codenamed Sapphire Rapids. I mean, you know, more cores, more performance, AI acceleration, crypto acceleration, it's all in there. But one of my favorite security features, and it is one that's called Intel Control-Flow Enforcement Technology, or Intel CET. And why I like CET is because I find the attack that it is designed to mitigate is just evil genius. This type of attack, which is called a return, a jump, or a call-oriented programming attack, is designed to not bring a whole bunch of new identifiable malware into the system, you know, which could be picked up by security software. What it is designed to do is to look for little bits of existing, little bits of existing code already on the server. So if you're running, say, a web server, it's looking for little bits of that web-server code that it can then execute in a particular order to achieve a malicious outcome, something like open a command prompt, or escalate its privileges. Now in order to get those little code bits to execute in an order, it has a control mechanism. And there are different, each of the different types of attacks uses a different control mechanism. But what CET does is it gets in there and it disrupts those control mechanisms, uses hardware to prevent those particular techniques from being able to dig in and take effect. So CET can, you know, disrupt it and make sure that software behaves safely and as the programmer intended, rather than picking off these little arbitrary bits in one of these return, or jump, or call-oriented programming attacks. Now it is a technology that is included in every single one of the new 4th Gen Xeon Scalable processors. And so it's going to be an inherent characteristic the customers can benefit from when they buy a new Gen11 HPE server. >> Cole, more goodness from Intel there impacting Gen11 on the HPE side. What's your reaction to that? >> I mean, I feel like this is exactly why you do business with the big Tier 1 partners, because you can put, you know, trust in from where it comes from, through the global operations, literally, having it hardened from the factory it's finished in, moving into your operating environment, and then now protecting against attacks in your web hosting services, right? I mean, this is great. I mean, you'll always have an attack on data, you know, as you're seeing in the data. But the more contained, the more information, and the more control and trust we can give to our customers, it's going to make their job a little easier in protecting whatever job they're trying to do. >> Yeah, and enterprise customers, as you know, they're always trying to keep up to date on the skills and battle the threats. Having that built in under the covers is a real good way to kind of help them free up their time, and also protect them is really killer. This is a big, big part of the Gen11 story here. Securing the data, securing compute, that's the topic here for this special cube conversation, engineering for a hybrid world. Cole, I'll give you the final word. What should people pay attention to, Gen11 from HPE, bottom line, what's the story? >> You know, it's, you know, it's not the first time, it's not the last time, but it's our fundamental security approach to just helping customers through their digital transformation defend in an uncompromising focus to help protect our infrastructure in these technical solutions. >> Cole Humphreys is the global server security product manager at HPE. He's got his finger on the pulse and keeping everyone secure in the platform integrity there. Mike Ferron-Jones is the Intel product manager for data security technology. Gentlemen, thank you for this great conversation, getting into the weeds a little bit with Gen11, which is great. Love the hardware route-of-trust technologies, Better Together. Congratulations on Gen11 and your 4th Gen Xeon Scalable. Thanks for coming on. >> All right, thanks, John. >> Thank you very much, guys, appreciate it. Okay, you're watching "theCube's" special presentation, "Securing Compute, Engineered for the Hybrid World." I'm John Furrier, your host. Thanks for watching. (upbeat music)

>> Welcome everyone to "theCUBE's" coverage of "Compute engineered for your hybrid world," sponsored by HP and Intel. Today we're going to going to discuss how to transform your compute management experience with the new 4th Gen Intel Xeon scalable processors. Hello, I'm John Furrier, host of "theCUBE," and my guests today are Chinmay Ashok, director cloud engineering at Intel, and Koichiro Nakajima, principal product manager, compute at cloud services with HPE. Gentlemen, thanks for coming on this segment, "Transform your compute management experience." >> Thanks for having us. >> Great topic. A lot of people want to see that system management one pane of glass and want to manage everything. This is a really important topic and they started getting into distributed computing and cloud and hybrid. This is a major discussion point. What are some of the major trends you guys see in the system management space? >> Yeah, so system management is trying to help user manage their IT infrastructure effectively and efficiently. So, the system management is evolving along with the IT infrastructures which is trying to accommodate market trends. We have been observing the continuous trends like digital transformation, edge computing, and exponential data growth never stops. AI, machine learning, deep learning, cloud native applications, hybrid cloud, multi-cloud strategies. There's a lot of things going on. Also, COVID-19 pandemic has changed the way we live and work. These are all the things that, given a profound implication to the system design architectures that system management has to consider. Also, security has always been the very important topic, but it has become more important than ever before. Some of the research is saying that the cyber criminals becoming like a $10.5 trillion per year. We all do our efforts on the solution provider size and on the user side, but still cyber criminals are growing 15% year by year. So, with all this kind of thing in the mind, system management really have to evolve in a way to help user efficiently and effectively manage their more and more distributed IT infrastructure. >> Chinmay, what's your thoughts on the major trends in system management space? >> Thanks, John, Yeah, to add to what Koichiro said, I think especially with the view of the system or the service provider, as he was saying, is changing, is evolving over the last few years, especially with the advent of the cloud and the different types of cloud usage models like platform as a service, on-premises, of course, infrastructure is a service, but the traditional software as a service implies that the service provider needs a different view of the system and the context in which we need the CPU vendor, or the platform vendor needs to provide that, is changing. That includes both in-band telemetry being able to monitor what is going on on the system through traditional in-band methods, but also the advent of the out-of-band methods to do this without end user disruption is a key element to the enhancements that our customers are expecting from us as we deploy CPUs and platforms. >> That's great. You know what I love about this discussion is we had multiple generation enhancements, 4th Gen Xeon, 11th Gen ProLiant, iLOs going to come up with got another generation increase on that one. We'll get into that on the next segment, but while we're here, what is iLO? Can you guys define what that is and why it's important? >> Yeah, great question. Real quick, so HPE Integrated Lights-Out is the formal name of the product and we tend to call it as a iLO for short. iLO is HPE'S BMC. If you're familiar with this topic it's a Baseboard Management Controller. If not, this is a small computer on the server mother board and it runs independently from host CPU and the operating system. So, that's why it's named as Lights-Out. Now what can you do with the iLO? iLO really helps a user manage and use and monitor the server remotely, securely, throughout its life from the deployment to the retirement. So, you can really do things like, you know, turning a server power on, off, install operating system, access to IT, firmware update, and when you decide to retire server, you can completely wipe the data off that server so then it's ready to trash. iLO is really a best solution to manage a single server, but when you try to manage hundreds or thousand of servers in a larger scale environment, then managing server one by one by one through the iLO is not practical. So, HPE has two options. One of them is a HPE OneView. OneView is a best solution to manage a very complex, on-prem IT infrastructure that involves a thousand of servers as well as the other IT elements like fiber channel storage through the storage agent network and so on. Another option that we have is HPE for GreenLake Compute Ops Management. This is our latest, greatest product that we recently launched and this is a best solution to manage a distributed IT environment with multiple edge points or multiple clouds. And I recently involved in the customer conversation about the computer office management and with the hotel chain, global hotel chain with 9,000 locations worldwide and each of the location only have like a couple of servers to manage, but combined it's, you know, 27,000 servers and over the 9,000 locations, we didn't really have a great answer for that kind of environment before, but now HPE has GreenLake for computer office management for also deal with, you know, such kind of environment. >> Awesome. We're going to do a big dive on iLO in the next segment, but Chinmay, before we end this segment, what is PMT? >> Sure, so yeah, with the introduction of the 4th Gen Intel Xeon scalable processor, we of course introduce many new technologies like PCI Gen 5, DDR5, et cetera. And these are very key to general system provision, if you will. But with all of these new technologies come new sources of telemetry that the service provider now has to manage, right? So, the PMT is a technology called Platform Monitoring Technology. That is a capability that we introduced with the Intel 4th Gen Xeon scalable processor that allows the service provider to monitor all of these sources of telemetry within the system, within the system on chip, the CPU SOC, in all of these contexts that we talked about, like the hybrid cloud and cloud infrastructure as a service or platform as a service, but both in their in-band traditional telemetry collection models, but also out-of-band collection models such as the ones that Koichiro was talking about through the BMC et cetera. So, this is a key enhancement that we believe that takes the Intel product line closer to what the service providers require for managing their end user experience. >> Awesome, well thanks so much for spending the time in this segment. We're going to take a quick break, we're going to come back and we're going to discuss more what's new with Gen 11 and iLO 6. You're watching "theCUBE," the leader in high tech enterprise coverage. We'll be right back. (light music) Welcome back. We're continuing the coverage of "theCUBE's" coverage of compute engineered for your hybrid world. I'm John Furrier, I'm joined by Chinmay Ashok who's from Intel and Koichiro Nakajima with HPE. We're going to dive deeper into transforming your compute management experience with 4th Gen Intel Xeon scalable processors and HP ProLiant Gen11. Okay, let's get into it. We want to talk about Gen11. What's new with Gen11? What's new with iLO 6? So, NexGen increases in performance capabilities. What's new, what's new at Gen11 and iLO 6 let's go. >> Yeah, iLO 6 accommodates a lot of new features and the latest, greatest technology advancements like a new generation CPUs, DDR5 memories, PCI Gen 5, GPGPUs, SmartNICs. There's a lot of great feature functions. So, it's an iLO, make sure that supports all the use cases that associate with those latest, greatest advancements. For instance, like you know, some of the higher thermal design point CPU SKUs that requires a liquid cooling. We all support those kind of things. And also iLO6 accommodates latest, greatest industry standard system management, standard specifications, for instance, like an DMTF, TLDN, DMTF, RDE, SPDM. And what are these means for the iLO6 and Gen11? iLO6 really offers the greatest manageability and monitoring user experiences as well as the greatest automation through the refresh APIs. >> Chinmay, what's your thoughts on the Gen11 and iLO6? You're at Intel, you're enabling all this innovation. >> Yeah. >> What's the new features? >> Yeah, thanks John. Yeah, so yeah, to add to what Koichiro said, I think with the introduction of Gen11, 4th Gen Intel Xeon scalable processor, we have all of these rich new feature sets, right? With the DDR5, PCI Gen5, liquid cooling, et cetera. And then all of these new accelerators for various specific workloads that customers can use using this processor. So, as we were discussing previously, what this brings is all of these different sources of telemetry, right? So, our sources of data that the system provider or the service provider then needs to utilize to manage the compute experience for their end user. And so, what's new from that perspective is Intel realized that these new different sources of telemetry and the new mechanisms by which the service provider has to extract this telemetry required us to fundamentally think about how we provide the telemetry experience to the service provider. And that meant extending our existing best-in-class, in-band telemetry capabilities that we have today already built into in market Intel processors. But now, extending that with the introduction of the PMT, the Platform Monitoring Technology, that allows us to expand on that in-band telemetry, but also include all of these new sources of telemetry data through all of these new accelerators through the new features like PCI Gen5, DDR5, et cetera, but also bring in that out-of-band telemetry management experience. And so, I think that's a key innovation here, helping prepare for the world that the cloud is enabling. >> It's interesting, you know, Koichiro you had mentioned on the previous segment, COVID-19, we all know the impact of how that changed, how IT at the managed, you know, all of a sudden remote work, right? So, as you have cloud go to hybrid, now we got the edge coming, we're talking about a distributed computing environment, we got telemetry, you got management. This is a huge shift and it's happening super fast. What's the Gen11 iLO6 mean for architects as they start to look at going beyond hybrid and going to the edge, you're going to need all this telemetry. What's the impact? Can you guys just riff and share your thoughts on what this means for that kind of NexGen cloud that we see coming on on which is essentially distributed computing. >> Yeah, that's a great topic to discuss. So, there's a couple of the things. Really, to make sure those remote environment and also the management distributed IT environments, the system management has to reach across the remote location, across the internet connections, and the connectivities. So, the system management protocol, for instance, like traditionally IPMI or SNMP, or those things, got to be modernized into more restful API and those modern integration friendly to the modern tool chains. So, we're investing on those like refresh APIs and also again, the security becomes paramount importance because those are exposed to the bad people to snoop and trying to do some bad thing like men in a middle attacks, things like that. So we really, you know, focus on the security side on the two aspects on the iLO6 and Gen11. One other thing is we continue our industry unique silicon root of trust technology. So, that one is fortunate platform making sure the platform firmware, only the authentic and legitimate image of the firmware can run on HP server. And when you check in, validating the firmware images, the root of the trust reside in the silicon. So, no one can change it. Even the bad people trying to change the root of trust, it's bond in the chips so you cannot really change. And that's why, even bad people trying to compromise, you know, install compromise the firmware image on the HPE servers, you cannot do that. Another thing is we're making a lot of enhancements to make sure security on board our HP server into your network or onto a services like a GreenLake. Give you a couple of example, for instance, like a IDevID, Initial Device ID. That one is conforming to IEEE 802.1AR and it's immutable so no one can change it. And by using the IDevID, you can really identify you are not onboarding a rogue server or unknown server, but the server that you you want to onboard, right? It's absolutely important. Another thing is like platform certificate. Platform certificate really is the measurement of the configuration. So again, this is a great feature that makes sure you receive a server from the factory and no one during the transportation touch the server and alter the configuration. >> Chinmay, what's your reaction to this new distributed NextGen cloud? You got data, security, edge, move the compute to the data, don't move the data around. These are big conversations. >> Yeah, great question, John. I think this is an important thing to consider for the end user, the service provider in all of these contexts, right? I think Koichiro mentioned some of these key elements that go into as we develop and design these new products. But for example, from a security perspective, we introduce the trust domain extensions, TDX feature, for confidential computing in Intel 4th Generation Xeon scalable processors. And that enables the isolation of user workloads in these cloud environments, et cetera. But again, going back to the point Koichiro was making where if you go to the edge, you go to the cloud and then have the edge connect to the cloud you have independent networks for system management, independent networks for user data, et cetera. So, you need the ability to create that isolation. All of this telemetry data that needs to be isolated from the user, but used by the service provider to provide the best experience. All of these are built on the foundations of technologies such as TDX, PMT, iLO6, et cetera. >> Great stuff, gentlemen. Well, we have a lot more to discuss on our next segment. We're going to take a break here before wrapping up. We'll be right back with more. You're watching "theCUBE," the leader in high tech coverage. (light music) Okay, welcome back here, on "theCUBE's" coverage of "Compute engineered for your hybrid world." I'm John Furrier, host of the Cube. We're wrapping up our discussion here on transforming compute management experience with 4th Gen Intel Xeon scalable processors and obviously HPE ProLiant Gen11. Gentlemen, welcome back. Let's get into the takeaways for this discussion. Obviously, systems management has been around for a while, but transforming that experience on the management side is super important as the environment just radically changing for the better. What are some of the key takeaways for the audience watching here that they should put into their kind of tickler file and/or put on their to-do list to keep an eye on? >> Yeah, so Gen11 and iLO6 offers the latest, greatest technologies with new generation CPUs, DDR5, PCI Gen5, and so on and on. There's a lot of things in there and also iLO6 is the most mature version of iLO and it offers the best manageability and security. On top of iLO, HP offers the best of read management options like HP OneView and Compute Ops Management. It's really a lot of the things that help user achieve a lot of the things regardless of the use case like edge computing, or distributed IT, or hybrid strategy and so on and on. And you could also have a great system management that you can unleash all the full potential of latest, greatest technology. >> Chinmay, what's your thoughts on the key takeaways? Obviously as the world's changing, more gen chips are coming out, specialized workloads, performance. I mean, I've never met anyone that says they want to run on slower infrastructure. I mean, come on, performance matters. >> Yes, no, it definitely, I think one of the key things I would say is yes, with Gen11 Intel for gen scalable we're introducing all of these technologies, but I think one of the key things that has grown over the last few years is the view of the system provider, the abstraction that's needed, right? Like the end user today is migrating a lot of what they're traditionally used to from a physical compute perspective to the cloud. Everything goes to the cloud and when that happens there's a lot of just the experience that the end user sees, but everything underneath is abstracted away and then managed by the system provider, right? So we at Intel, and of course, our partners at HP, we have spent a lot of time figuring out what are the best sets of features that provide that best system management experience that allow for that abstraction to work seamlessly without the end user noticing? And I think from that perspective, the 4th Gen Intel Xeon scalable processors is so far the best Intel product that we have introduced that is prepared for that type of abstraction. >> So, I'm going to put my customer hat on for a second. I'll ask you both. What's in it for me? I'm the customer. What's in it for me? What's the benefit to me? What does this all mean to me? What's my win? >> Yeah, I can start there. I think the key thing here is that when we create capabilities that allow you to build the best cloud, at the end of the day that efficiency, that performance, all of that translates to a better experience for the consumer, right? So, as the service provider is able to have all of these myriad capabilities to use and choose from and then manage the system experience, what that implies is that the end user sees a seamless experience as they go from one application to another as they go about their daily lives. >> Koichiro, what's your thoughts on what's in it for me? You guys got a lot of engineering going on in Gen11, every gen increase always is a step function and increase of value. What's in it for me? What do I care? What's in it for me? I'm the customer. >> Alright. Yeah, so I fully agree with Chinmay's point. You know, he lays out the all the good points, right? Again, you know what the Gen11 and iLO6 offer all the latest, greatest features and all the technology and advancements are packed in the Gen11 platform and iLO6 unleash all full potentials for those benefits. And things are really dynamic in today's world and IT system also going to be agile and the system management get really far, to the point like we never imagine what the system management can do in the past. For instance, the managing on-prem devices across multiple locations from a single point, like a single pane of glass on the cloud management system, management on the cloud, that's what really the compute office management that HP offers. It's all new and it's really help customers unleash full potential of the gear and their investment and provide the best TCO and ROIs, right? I'm very excited that all the things that all the teams have worked for the multiple years have finally come to their life and to the public. And I can't really wait to see our customers start putting their hands on and enjoy the benefit of the latest, greatest offerings. >> Yeah, 4th Gen Xeon, Gen11 ProLiant, I mean, all the things coming together, accelerators, more cores. You got data, you got compute, and you got now this idea of security, I mean, you got hitting all the points, data and security big features here, right? Data being computed in a way with Gen4 and Gen11. This is like the big theme, data security, kind of the the big part of the core here in this announcement, in this relationship. >> Absolutely. I believe, I think the key things as these new generations of processors enable is new types of compute which imply is more types of data, more types of and hence, with more types of data, more types of compute. You have more types of system management more differentiation that the service provider has to then deal with, the disaggregation that they have to deal with. So yes, absolutely this is, I think exciting times for end users, but also for new frontiers for service providers to go tackle. And we believe that the features that we're introducing with this CPU and this platform will enable them to do so. >> Well Chinmay thank you so much for sharing your Intel perspective, Koichiro with HPE. Congratulations on all that hard work and engineering coming together. Bearing fruit, as you said, Koichiro, this is an exciting time. And again, keep moving the needle. This is an important inflection point in the industry and now more than ever this compute is needed and this kind of specialization's all awesome. So, congratulations and participating in the "Transforming your compute management experience" segment. >> Thank you very much. >> Okay. I'm John Furrier with "theCUBE." You're watching the "Compute Engineered for your Hybrid World Series" sponsored by HP and Intel. Thanks for watching. (light music)

>> Welcome to "theCUBE's" coverage of "Compute Engineered for Your Hybrid World" sponsored by HPE and Intel. I'm John Furrier, host of "theCUBE" with the new fourth gen Intel Z on scalable process being announced, HPE is releasing four new HPE ProLiant Gen 11 servers and here to talk about the feature of those servers as well as the partnership between HPE and Intel, we have Darren Anthony, director compute server product manager with HPE, and Suzi Jewett, general manager of the Zion products with Intel. Thanks for joining us folks. Appreciate you coming on. >> Thanks for having us. (Suzi's speech drowned out) >> This segment is about NextGen enhanced scale of process. Obviously the Zion fourth gen. This is really cool stuff. What's the most exciting element of the new Intel fourth gen Zion processor? >> Yeah, John, thanks for asking. Of course, I'm very excited about the fourth gen Intel Zion processor. I think the best thing that we'll be delivering is our new ong package accelerators, which you know allows us to service the majority of the server market, which still is buying in that mid core count range and provide workload acceleration that matters for every one of the products that we sell. And that workload acceleration allows us to drive better efficiency and allows us to really dive into improved sustainability and workload optimizations for the data center. >> It's about al the rage about the cores. Now we got the acceleration continued to innovate with Zion. Congratulations. Darren what does the new Intel fourth Gen Zion processes mean for HPE from the ProLiant perspective? You're on Gen 11 servers. What's in it? What's it mean for you guys and for your customers? >> Well, John, first we got to talk about the great partnership. HPE and Intel have been partners delivering innovation for our server products for over 30 years, and we're continuing that partnership with HP ProLiant Gen 11 servers to deliver compelling business outcomes for our customers. Customers are on a digital transformation journey, and they need the right compute to power applications, accelerate analytics, and turn data into value. HP ProLiant Compute is engineered for your hybrid world and delivers optimized performance for your workloads. With HP ProLiant Gen 11 servers and Intel fourth gen Zion processors, you can have the performance to accelerate workloads from the data center to the edge. With Gen 11, we have more. More performance to meet new workload demands. With PCI Gen five which delivers increased bandwidth with room for more data and graphics accelerators for workloads like VDI, our new demands at the edge. DDR5 memory springs greater bandwidth and performance increases for low latency and memory solutions for database and analytics workloads and higher clock speed CPU chipset combinations for processor intensive AI and machine learning applications. >> Got to love the low latency. Got to love the more performance. Got to love the engineered for the hybrid world. You mentioned that. Can you elaborate more on engineered for the hybrid world? What does that mean? Can you elaborate? >> Well, HP ProLiant Compute is based on three pillars. First, an intuitive cloud operating experience with HPE GreenLake compute ops management. Second, trusted security by design with a zero trust approach from silicone to cloud. And third, optimize for performance for your workloads, whether you deploy as a traditional infrastructure or a pay-as-you-go model with HPE GreenLake on-premise at the edge in a colo and in the public cloud. >> Well, thanks Suzi and Darren, we'll be right back. We're going to take a quick break. We're going to come back and do a deep dive and get into the ProLiant Gen 11 servers. We're going to dig into it. You're watching "theCUBE," the leader in high tech enterprise coverage. We'll be right back. (upbeat music) >> Hello everyone. Welcome back continuing coverage of "theCUBE's" "Compute Engineered for Your Hybrid World" with HP and Intel. I'm John Furrier, host of "theCUBE'" joined back by Darren Anthony from HPE and Suzie Jewitt from Intel. as we continue our conversation on the fourth gen Zion scalable processor and HP Gen 11 servers. Suzi, we'll start with you first. Can you give us some use cases around the new fourth gen, Intel Zion scalable processors? >> Yeah, I'd love to. What we're really seeing with an ever-changing market, and you know, adapting to that is we're leading with that workload focus approach. Some examples, you know, that we see are with vRAN. For in vRAN, we estimate the 2021 market size was about 150 million, and we expect a CAG of almost 30% all the way through 2030. So we're really focused on that, on, you know deployed edge use cases, growing about 10% to over 50% in 2026. And HPC use cases, of course, continue to grow at a study CAGR around, you know, about 7%. Then last but not least is cloud. So we're, you know, targeting a growth rate of almost 20% over a five year CAGR. And the fourth G Zion is targeted to all of those workloads, both through our architectural improvements that, you know deliver node level performance as well as our operational improvements that deliver data center performance. And wrapping that all around with the accelerators that I talked about earlier that provide that workload specific improvements that get us to where our customers need to operationalize in their data center. >> I love the focus solutions around seeing compute used that way and the processors. Great stuff. Darren, how do you see the new ProLiant Gen 11 servers being used on your side? I mean obviously, you've got the customers deploying the servers. What are you seeing on those workloads? Those targeted workloads? (John chuckling) >> Well, you know, very much in line with what Suzi was talking about. The generational improvements that we're seeing in performance for Gen 11. They're outstanding for many different use cases. You know, obviously VDI. what we're seeing a lot is around the analytics. You know, with moving to the edge, there's a lot more data. Customers need to convert that data into something tangible. Something that's actionable. And so we're really seeing the strong use cases around analytics in order to mine that data and to make better, faster decisions for the customers. >> You know what I love about this market is people really want to hear about performance. They love speed, they love the power, and low power, by the way on the other side. So, you know, this has really been a big part of the focus now this year. We're seeing a lot more discussion. Suzi, can you tell us more about the key performance improvements on the processors? And Darren, if you don't mind, if you can follow up on the benefits of the new servers relative to the performance. Suzi? >> Sure, so, you know, at a standard expectant rate we're looking at, you know, 60% gen over gen, from our previous third gen Zion, but more importantly as we've been mentioning is the performance improvement we get with the accelerators. As an example, an average accelerator proof point that we have is 2.9 times improvement in performance per wat for accelerated workloads versus non-accelerated workloads. Additionally, we're seeing really great and performance improvement in low jitter so almost 20 to 50 times improvement versus previous gen in jitter on particular workloads which is really important, you know to our cloud service providers. >> Darren, what's your follow up on this? This is obviously translates into the the gen 11 servers. >> Well, you know, this generation. Huge improvements across the board. And what we're seeing is that not only customers are prepared for what they need now you know, workloads are evolving and transitioning. Customers need more. They're doing more. They're doing more analytics. And so not only do you have the performance you need now, but it's actually built for the future. We know that customers are looking to take in that data and do something and work with the data wherever it resides within their infrastructure. We also see customers that are beginning to move servers out of a centralized data center more to the edge, closer to the way that where the data resides. And so this new generation really tremendous for that. Seeing a lot of benefits for the customers from that perspective. >> Okay, Suzi, Darren, I want to get your thoughts on one of the hottest trends happening right now. Obviously machine learning and AI has always been hot, but recently more and more focus has been on AI. As you start to see this kind of next gen kind of AI coming on, and the younger generation of developers, you know, they're all into this. This is really the one of the hottest trends of AI. We've seen the momentum and accelerations kind of going next level. Can you guys comment on how Zion here and Gen 11 are tying into that? What's that mean for AI? >> So, exactly. With the fourth gen Intel Zion, we have one of our key you know, on package accelerators in every core is our AMX. It delivers up to 10 times improvement on inference and training versus previous gens, and, you know throws the competition out of the water. So we are really excited for our AI performance leading with Zion >> And- >> And John, what we're seeing is that this next generation, you know you're absolutely right, you know. Workloads a lot more focused. A lot more taking more advantage of AI machine learning capabilities. And with this generation together with the Intel Zion fourth gen, you know what we're seeing is the opportunity with that increase in IO bandwidth that now we have an opportunity for those applications and those use cases and those workloads to take advantage of this capability. We haven't had that before, but now more than ever, we've actually, you know opened the throttle with the performance and with the capabilities to support those workloads. >> That's great stuff. And you know, the AI stuff also does all lot on differentiated heavy lifting, and it needs processing power. It needs the servers. This is just, (John chuckling) it creates more and more value. This is right in line. Congratulations. Super excited by that call out. Really appreciate it. Thanks Suzi and Darren. Really appreciate. A lot more discuss with you guys as we go a little bit deeper. We're going to talk about security and wrap things up after this short break. I'm John Furrier, "theCUBE," the leader in enterprise tech coverage. (upbeat music) >> Welcome back to "theCUBE's" coverage of "Compute Engineered for Your Hybrid World." I'm John Furrier, host of "theCUBE" joined by Darren Anthony from HPE and Suzi Jewett from Intel as we turn our discussion to security. A lot of great features with the new Zion scalable processor's gen four and the ProLiant gen 11. Let's get into it. Suzi, what are some of the cool features of the fourth gen Intel Zion scalable processors? >> Sure, John, I'd love to talk about it. With fourth gen, Intel offers the most comprehensive confidential computing portfolio to really enhance data security and ingest regulatory compliance and sovereignty concerns. A couple examples of those features and technologies that we've included are a larger baseline enclave with the SGX technology, which is our application isolation technology and our Intel CET substantially reduces the risk of whole class software-based attacks. That wrapped around at a platform level really allows us, you know, to secure workload acceleration software and ensure platform integrity. >> Darren, this is a great enablement for HPE. Can you tell us about the security with the the new HP ProLiant Gen 11 servers? >> Absolutely, John. So HP ProLiant engineered with a fundamental security approach to defend against increasingly complex threats and uncompromising focus on state-of-the-art security innovations that are built right into our DNA, from silicon to software, from the factory to the cloud. It's our goal to protect the customer's infrastructure, workloads, and the data from threats to hardware and risk from third party software and devices. So Gen 11 is just a continuation of the the great technological innovations that we've had around providing zero trust architecture. We're extending our Silicon Root of Trust, and it's just a motion forward for innovating on that Silicon Root of Trust that we've had. So with Silicon Root of Trust, we protect millions of lines of firmware code from malware and ransomware with the digital footprint that's unique to the server. With this Silicon Root of Trust, we're securing over 4 million HPE servers around the world and beyond that Silicon, the authentication of and extending this to our partner ecosystem, the authentication of platform components, such as network interface cards and storage controllers just gives us that protection against additional entry points of security threats that can compromise the entire server infrastructure. With this latest version, we're also doing authentication integrity with those components using the security protocol and data model protocol or SPDM. But we know that trusted and protected infrastructure begins with a secure supply chain, a layer of protection that starts at the manufacturing floor. HP provides you optimized protection for ProLiant servers from trusted suppliers to the factories and into transit to the customer. >> Any final messages Darren you'd like to share with your audience on the hybrid world engineering for the hybrid world security overall the new Gen 11 servers with the Zion fourth generation process scalable processors? >> Well, it's really about choice. Having the right choice for your compute, and we know HPE ProLiant servers, together, ProLiant Gen 11 servers together with the new Zion processors is the right choice. Delivering the capabilities to performance and the efficiency that customers need to run their most complex workloads and their most performance hungry work workloads. We're really excited about this next generation of platforms. >> ProLiant Gen 11. Suzi, great customer for Intel. You got the fourth generation Zion scalable processes. We've been tracking multiple generations for both of you guys for many, many years now, the past decade. A lot of growth, a lot of innovation. I'll give you the last word on the series here on this segment. Can you share the the collaboration between Intel and HP? What does it mean and what's that mean for customers? Can you give your thoughts and share your views on the relationship with with HPE? >> Yeah, we value, obviously HPE as one of our key customers. We partner with them from the beginning of when we are defining the product all the way through the development and validation. HP has been a great partner in making sure that we deliver collaboratively to the needs of their customers and our customers all together to make sure that we get the best product in the market that meets our customer needs allowing for the flexibility, the operational efficiency, the security that our markets demand. >> Darren, Suzi, thank you so much. You know, "Compute for an Engineered Hybrid World" is really important. Compute is... (John stuttering) We need more compute. (John chuckling) Give us more power and less power on the sustainability side. So a lot of great advances. Thank you so much for spending the time and give us an overview on the innovation around the Zion and, and the ProLiant Gen 11. Appreciate your time. Appreciate it. >> You're welcome. Thanks for having us. >> You're watching "theCUBE's" coverage of "Compute Engineered for Your Hybrid World" sponsored by HPE and Intel. I'm John Furrier with "theCUBE." Thanks for watching. (upbeat music)

>> Hello, everyone. Welcome to theCUBE's coverage of "Compute Engineered for your Hybrid World," sponsored by HPE and Intel. Today we're going to discuss the new 4th Gen Intel Xeon Scalable process impact on containers and AI. I'm John Furrier, your host of theCUBE, and I'm joined by three experts to guide us along. We have Jordan Plum, Senior Director of AI and products for Intel, Bradley Sweeney, Big Data and AI Product Manager, Mainstream Compute Workloads at HPE, and Gary Wang, Containers Product Manager, Mainstream Compute Workloads at HPE. Welcome to the program gentlemen. Thanks for coming on. >> Thanks John. >> Thank you for having us. >> This segment is going to be talking about containers to deploy high performance AI applications. This is a really important area right now. We're seeing a lot more AI deployed, kind of next gen AI coming. How is HPE supporting and testing and delivering containers for AI? >> Yeah, so what we're doing from HPE's perspective is we're taking these container platforms, combining with the next generation Intel servers to fully validate the deployment of the containers. So what we're doing is we're publishing the reference architectures. We're creating these automation scripts, and also creating a monitoring and security strategy for these container platforms. So for customers to easily deploy these Kubernete clusters and to easily secure their community environments. >> Gary, give us a quick overview of the new Proliant DL 360 and 380 Gen 11 servers. >> Yeah, the load, for example, for container platforms what we're seeing mostly is the DL 360 and DL 380 for matching really well for container use cases, especially for AI. The DL 360, with the expended now the DDR five memory and the new PCI five slots really, really helps the speeds to deploy these container environments and also to grow the data that's required to store it within these container environments. So for example, like the DL 380 if you want to deploy a data fabric whether it's the Ezmeral data fabric or different vendors data fabric software you can do so with the DL 360 and DL 380 with the new Intel Xeon processors. >> How does HP help customers with Kubernetes deployments? >> Yeah, like I mentioned earlier so we do a full validation to ensure the container deployment is easy and it's fast. So we create these automation scripts and then we publish them on GitHub for customers to use and to reference. So they can take that and then they can adjust as they need to. But following the deployment guide that we provide will make the, deploy the community deployment much easier, much faster. So we also have demo videos that's also published and then for reference architecture document that's published to guide the customer step by step through the process. >> Great stuff. Thanks everyone. We'll be going to take a quick break here and come back. We're going to do a deep dive on the fourth gen Intel Xeon scalable process and the impact on AI and containers. You're watching theCUBE, the leader in tech coverage. We'll be right back. (intense music) Hey, welcome back to theCUBE's continuing coverage of "Compute Engineered for your Hybrid World" series. I'm John Furrier with the Cube, joined by Jordan Plum with Intel, Bradley Sweeney with HPE, and Gary Wang from HPE. We're going to do a drill down and do a deeper dive into the AI containers with the fourth gen Intel Xeon scalable processors we appreciate your time coming in. Jordan, great to see you. I got to ask you right out of the gate, what is the view right now in terms of Intel's approach to containers for AI? It's hot right now. AI is booming. You're seeing kind of next gen use cases. What's your approach to containers relative to AI? >> Thanks John and thanks for the question. With the fourth generation Xeon scalable processor launch we have tested and validated this platform with over 400 deep learning and machine learning models and workloads. These models and workloads are publicly available in the framework repositories and they can be downloaded by anybody. Yet customers are not only looking for model validation they're looking for model performance and performance is usually a combination of a given throughput at a target latency. And to do that in the data center all the way to the factory floor, this is not always delivered from these generic proxy models that are publicly available in the industry. >> You know, performance is critical. We're seeing more and more developers saying, "Hey, I want to go faster on a better platform, faster all the time." No one wants to run slower stuff, that's for sure. Can you talk more about the different container approaches Intel is pursuing? >> Sure. First our approach is to meet the customers where they are and help them build and deploy AI everywhere. Some customers just want to focus on deployment they have more mature use cases, and they just want to download a model that works that's high performing and run. Others are really focused more on development and innovation. They want to build and train models from scratch or at least highly customize them. Therefore we have several container approaches to accelerate the customer's time to solution and help them meet their business SLA along their AI journey. >> So what developers can just download these containers and just go? >> Yeah, so let me talk about the different kinds of containers we have. We start off with pre-trained containers. We'll have about 55 or more of these containers where the model is actually pre-trained, highly performant, some are optimized for low latency, others are optimized for throughput and the customers can just download these from Intel's website or from HPE and they can just go into production right away. >> That's great. A lot of choice. People can just get jump right in. That's awesome. Good, good choice for developers. They want more faster velocity. We know that. What else does Intel provide? Can you share some thoughts there? What you guys else provide developers? >> Yeah, so we talked about how hey some are just focused on deployment and they maybe they have more mature use cases. Other customers really want to do some more customization or optimization. So we have another class of containers called development containers and this includes not just the kind of a model itself but it's integrated with the framework and some other capabilities and techniques like model serving. So now that customers can download just not only the model but an entire AI stack and they can be sort of do some optimizations but they can also be sure that Intel has optimized that specific stack on top of the HPE servers. >> So it sounds simple to just get started using the DL model and containers. Is that it? Where, what else are customers looking for? What can you take a little bit deeper? >> Yeah, not quite. Well, while the customer customer's ability to reproduce performance on their site that HPE and Intel have measured in our own labs is fantastic. That's not actually what the customer is only trying to do. They're actually building very complex end-to-end AI pipelines, okay? And a lot of data scientists are really good at building models, really good at building algorithms but they're less experienced in building end-to-end pipelines especially 'cause the number of use cases end-to-end are kind of infinite. So we are building end-to-end pipeline containers for use cases like media analytics and sentiment analysis, anomaly detection. Therefore a customer can download these end-to-end containers, right? They can either use them as a reference, just like, see how we built them and maybe they have some changes in their own data center where they like to use different tools, but they can just see, "Okay this is what's possible with an end-to-end container on top of an HPE server." And other cases they could actually, if the overlap in the use case is pretty close, they can just take our containers and go directly into production. So this provides developers, all three types of containers that I discussed provide developers an easy starting point to get them up and running quickly and make them productive. And that's a really important point. You talked a lot about performance, John. But really when we talk to data scientists what they really want to be is productive, right? They're under pressure to change the business to transform the business and containers is a great way to get started fast >> People take product productivity, you know, seriously now with developer productivity is the hottest trend obviously they want performance. Totally nailed it. Where can customers get these containers? >> Right. Great, thank you John. Our pre-trained model containers, our developmental containers, and our end-to-end containers are available at intel.com at the developer catalog. But we'd also post these on many third party marketplaces that other people like to pull containers from. And they're frequently updated. >> Love the developer productivity angle. Great stuff. We've still got more to discuss with Jordan, Bradley, and Gary. We're going to take a short break here. You're watching theCUBE, the leader in high tech coverage. We'll be right back. (intense music) Welcome back to theCUBE's coverage of "Compute Engineered for your Hybrid World." I'm John Furrier with theCUBE and we'll be discussing and wrapping up our discussion on containers to deploy high performance AI. This is a great segment on really a lot of demand for AI and the applications involved. And we got the fourth gen Intel Xeon scalable processors with HP Gen 11 servers. Bradley, what is the top AI use case that Gen 11 HP Proliant servers are optimized for? >> Yeah, thanks John. I would have to say intelligent video analytics. It's a use case that's supplied across industries and verticals. For example, a smart hospital solution that we conducted with Nvidia and Artisight in our previous customer success we've seen 5% more hospital procedures, a 16 times return on investment using operating room coordination. With that IVA, so with the Gen 11 DL 380 that we provide using the the Intel four gen Xeon processors it can really support workloads at scale. Whether that is a smart hospital solution whether that's manufacturing at the edge security camera integration, we can do it all with Intel. >> You know what's really great about AI right now you're starting to see people starting to figure out kind of where the value is does a lot of the heavy lifting on setting things up to make humans more productive. This has been clearly now kind of going neck level. You're seeing it all in the media now and all these new tools coming out. How does HPE make it easier for customers to manage their AI workloads? I imagine there's going to be a surge in demand. How are you guys making it easier to manage their AI workloads? >> Well, I would say the biggest way we do this is through GreenLake, which is our IT as a service model. So customers deploying AI workloads can get fully-managed services to optimize not only their operations but also their spending and the cost that they're putting towards it. In addition to that we have our Gen 11 reliance servers equipped with iLO 6 technology. What this does is allows customers to securely manage their server complete environment from anywhere in the world remotely. >> Any last thoughts or message on the overall fourth gen intel Xeon based Proliant Gen 11 servers? How they will improve workload performance? >> You know, with this generation, obviously the performance is only getting ramped up as the needs and requirements for customers grow. We partner with Intel to support that. >> Jordan, gimme the last word on the container's effect on AI applications. Your thoughts as we close out. >> Yeah, great. I think it's important to remember that containers themselves don't deliver performance, right? The AI stack is a very complex set of software that's compiled together and what we're doing together is to make it easier for customers to get access to that software, to make sure it all works well together and that it can be easily installed and run on sort of a cloud native infrastructure that's hosted by HPE Proliant servers. Hence the title of this talk. How to use Containers to Deploy High Performance AI Applications. Thank you. >> Gentlemen. Thank you for your time on the Compute Engineered for your Hybrid World sponsored by HPE and Intel. Again, I love this segment for AI applications Containers to Deploy Higher Performance. This is a great topic. Thanks for your time. >> Thank you. >> Thanks John. >> Okay, I'm John. We'll be back with more coverage. See you soon. (soft music)

>> Hello everyone. Welcome to theCUBEs coverage of Compute Engineered for your Hybrid World sponsored by HPE and Intel. Today we're going to dive into advanced performance of VDI with the fourth gen Intel Zion scalable processors. Hello I'm John Furrier, the host of theCUBE. My guests today are Alan Chu, Director of Data Center Performance and Competition for Intel as well as Denis Kondakov who's the VDI product manager at HPE, and also joining us is Cynthia Sustiva, CAD/CAM product manager at HPE. Thanks for coming on, really appreciate you guys taking the time. >> Thank you. >> So accelerating VDI to the Edge. That's the topic of this topic here today. Let's get into it, Dennis, tell us about the new HPE ProLiant DL321 Gen 11 server. >> Okay, absolutely. Hello everybody. So HP ProLiant DL320 Gen 11 server is the new age center CCO and density optimized compact server, compact form factor server. It enables to modernize and power at the next generation of workloads in the diverse rec environment at the Edge in an industry standard designed with flexible scale for advanced graphics and compute. So it is one unit, one processor rec optimized server that can be deployed in the enterprise data center as well as at the remote office at end age. >> Cynthia HPE has announced another server, the ProLiant ML350. What can you tell us about that? >> Yeah, so the HPE ProLiant ML350 Gen 11 server is a powerful tower solution for a wide range of workloads. It is ideal for remote office compute with NextGen performance and expandability with two processors in tower form factor. This enables the server to be used not only in the data center environment, but also in the open office space as a powerful workstation use case. >> Dennis mentioned both servers are empowered by the fourth gen Intel Zion scale of process. Can you talk about the relationship between Intel HPE to get this done? How do you guys come together, what's behind the scenes? Share as much as you can. >> Yeah, thanks a lot John. So without a doubt it takes a lot to put all this together and I think the partnership that HPE and Intel bring together is a little bit of a critical point for us to be able to deliver to our customers. And I'm really thrilled to say that these leading Edge solutions that Dennis and Cynthia just talked about, they're built on the foundation of our fourth Gen Z on scalable platform that's trying to meet a wide variety of deployments for today and into the future. So I think the key point of it is we're together trying to drive leading performance with built-in acceleration and in order to deliver a lot of the business values to our customers, both HP and Intels, look to scale, drive down costs and deliver new services. >> You got the fourth Gen Z on, you got the Gen 11 and multiple ProLiants, a lot of action going on. Again, I love when these next gens come out. Can each of you guys comment and share what are the use cases for each of the systems? Because I think what we're looking at here is the next level innovation. What are some of the use cases on the systems? >> Yeah, so for the ML350, in the modern world where more and more data are generated at the Edge, we need to deploy computer infrastructure where the data is generated. So smaller form factor service will satisfy the requirements of S&B customers or remote and branch offices to deliver required performance redundancy where we're needed. This type of locations can be lacking dedicated facilities with strict humidity, temperature and noise isolation control. The server, the ML350 Gen 11 can be used as a powerful workstation sitting under a desk in the office or open space as well as the server for visualized workloads. It is a productivity workhorse with the ability to scale and adapt to any environment. One of the use cases can be for hosting digital workplace for manufacturing CAD/CAM engineering or oil and gas customers industry. So this server can be used as a high end bare metal workstation for local end users or it can be virtualized desktop solution environments for local and remote users. And talk about the DL320 Gen 11, I will pass it on to Dennis. >> Okay. >> Sure. So when we are talking about age of location we are talking about very specific requirements. So we need to provide solution building blocks that will empower and performance efficient, secure available for scaling up and down in a smaller increments than compared to the enterprise data center and of course redundant. So DL 320 Gen 11 server is the perfect server to satisfy all of those requirements. So for example, S&B customers can build a video solution, for example starting with just two HP ProLiant TL320 Gen 11 servers that will provide sufficient performance for high density video solution and at the same time be redundant and enable it for scaling up as required. So for VGI use cases it can be used for high density general VDI without GP acceleration or for a high performance VDI with virtual VGPU. So thanks to the modern modular architecture that is used on the server, it can be tailored for GPU or high density storage deployment with software defined compute and storage environment and to provide greater details on your Intel view I'm going to pass to Alan. >> Thanks a lot Dennis and I loved how you're both seeing the importance of how we scale and the applicability of the use cases of both the ML350 and DL320 solutions. So scalability is certainly a key tenant towards how we're delivering Intel's Zion scalable platform. It is called Zion scalable after all. And we know that deployments are happening in all different sorts of environments. And I think Cynthia you talked a little bit about kind of a environmental factors that go into how we're designing and I think a lot of people think of a traditional data center with all the bells and whistles and cooling technology where it sometimes might just be a dusty closet in the Edge. So we're defining fortunes you see on scalable to kind of tackle all those different environments and keep that in mind. Our SKUs range from low to high power, general purpose to segment optimize. We're supporting long life use cases so that all goes into account in delivering value to our customers. A lot of the latency sensitive nature of these Edge deployments also benefit greatly from monolithic architectures. And with our latest CPUs we do maintain quite a bit of that with many of our SKUs and delivering higher frequencies along with those SKUs optimized for those specific workloads in networking. So in the end we're looking to drive scalability. We're looking to drive value in a lot of our end users most important KPIs, whether it's latency throughput or efficiency and 4th Gen Z on scalable is looking to deliver that with 60 cores up to 60 cores, the most builtin accelerators of any CPUs in the market. And really the true technology transitions of the platform with DDR5, PCIE, Gen five and CXL. >> Love the scalability story, love the performance. We're going to take a break. Thanks Cynthia, Dennis. Now we're going to come back on our next segment after a quick break to discuss the performance and the benefits of the fourth Gen Intel Zion Scalable. You're watching theCUBE, the leader in high tech coverage, be right back. Welcome back around. We're continuing theCUBE's coverage of compute engineer for your hybrid world. I'm John Furrier, I'm joined by Alan Chu from Intel and Denis Konikoff and Cynthia Sistia from HPE. Welcome back. Cynthia, let's start with you. Can you tell us the benefits of the fourth Gen Intel Zion scale process for the HP Gen 11 server? >> Yeah, so HP ProLiant Gen 11 servers support DDR five memory which delivers increased bandwidth and lower power consumption. There are 32 DDR five dim slots with up to eight terabyte total on ML350 and 16 DDR five dim slots with up to two terabytes total on DL320. So we deliver more memory at a greater bandwidth. Also PCIE 5.0 delivers an increased bandwidth and greater number of lanes. So when we say increased number of lanes we need to remember that each lane delivers more bandwidth than lanes of the previous generation plus. Also a flexible storage configuration on HPDO 320 Gen 11 makes it an ideal server for establishing software defined compute and storage solution at the Edge. When we consider a server for VDI workloads, we need to keep the right balance between the number of cords and CPU frequency in order to deliver the desire environment density and noncompromised user experience. So the new server generation supports a greater number of single wide and global wide GPU use to deliver more graphic accelerated virtual desktops per server unit than ever before. HPE ProLiant ML 350 Gen 11 server supports up to four double wide GPUs or up to eight single wide GPUs. When the signing GPU accelerated solutions the number of GPUs available in the system and consistently the number of BGPUs that can be provisioned for VMs in the binding factor rather than CPU course or memory. So HPE ProLiant Gen 11 servers with Intel fourth generation science scalable processors enable us to deliver more virtual desktops per server than ever before. And with that I will pass it on to Alan to provide more details on the new Gen CPU performance. >> Thanks Cynthia. So you brought up I think a really great point earlier about the importance of achieving the right balance. So between the both of us, Intel and HPE, I'm sure we've heard countless feedback about how we should be optimizing efficiency for our customers and with four Gen Z and scalable in HP ProLiant Gen 11 servers I think we achieved just that with our built-in accelerator. So built-in acceleration delivers not only the revolutionary performance, but enables significant offload from valuable core execution. That offload unlocks a lot of previously unrealized execution efficiency. So for example, with quick assist technology built in, running engine X, TLS encryption to drive 65,000 connections per second we can offload up to 47% of the course that do other work. Accelerating AI inferences with AMX, that's 10X higher performance and we're now unlocking realtime inferencing. It's becoming an element in every workload from the data center to the Edge. And lastly, so with faster and more efficient database performance with RocksDB, we're executing with Intel in-memory analytics accelerator we're able to deliver 2X the performance per watt than prior gen. So I'll say it's that kind of offload that is really going to enable more and more virtualized desktops or users for any given deployment. >> Thanks everyone. We still got a lot more to discuss with Cynthia, Dennis and Allen, but we're going to take a break. Quick break before wrapping things up. You're watching theCUBE, the leader in tech coverage. We'll be right back. Okay, welcome back everyone to theCUBEs coverage of Compute Engineered for your Hybrid World. I'm John Furrier. We'll be wrapping up our discussion on advanced performance of VDI with the fourth gen Intel Zion scalable processers. Welcome back everyone. Dennis, we'll start with you. Let's continue our conversation and turn our attention to security. Obviously security is baked in from day zero as they say. What are some of the new security features or the key security features for the HP ProLiant Gen 11 server? >> Sure, I would like to start with the balance, right? We were talking about performance, we were talking about density, but Alan mentioned about the balance. So what about the security? The security is really important aspect especially if we're talking about solutions deployed at the H. When the security is not active but other aspects of the environment become non-important. And HP is uniquely positioned to deliver the best in class security solution on the market starting with the trusted supply chain and factories and silicon route of trust implemented from the factory. So the new ISO6 supports added protection leveraging SPDM for component authorization and not only enabled for the embedded server management, but also it is integrated with HP GreenLake compute ops manager that enables environment for secure and optimized configuration deployment and even lifecycle management starting from the single server deployed on the Edge and all the way up to the full scale distributed data center. So it brings uncompromised and trusted solution to customers fully protected at all tiers, hardware, firmware, hypervisor, operational system application and data. And the new intel CPUs play an important role in the securing of the platform. So Alan- >> Yeah, thanks. So Intel, I think our zero trust strategy toward security is a really great and a really strong parallel to all the focus that HPE is also bringing to that segment and market. We have even invested in a lot of hardware enabled security technologies like SGX designed to enhance data protection at rest in motion and in use. SGX'S application isolation is the most deployed, researched and battle tested confidential computing technology for the data center market and with the smallest trust boundary of any solution in market. So as we've talked about a little bit about virtualized use cases a lot of virtualized applications rely also on encryption whether bulk or specific ciphers. And this is again an area where we've seen the opportunity for offload to Intel's quick assist technology to encrypt within a single data flow. I think Intel and HP together, we are really providing security at all facets of execution today. >> I love that Software Guard Extension, SGX, also silicon root of trust. We've heard a lot about great stuff. Congratulations, security's very critical as we see more and more. Got to be embedded, got to be completely zero trust. Final question for you guys. Can you share any messages you'd like to share with the audience each of you, what should they walk away from this? What's in it for them? What does all this mean? >> Yeah, so I'll start. Yes, so to wrap it up, HPR Proliant Gen 11 servers are built on four generation science scalable processors to enable high density and extreme performance with high performance CDR five memory and PCI 5.0 plus HP engine engineered and validated workload solutions provide better ROI in any consumption model and prefer by a customer from Edge to Cloud. >> Dennis? >> And yeah, so you are talking about all of the great features that the new generation servers are bringing to our customers, but at the same time, customer IT organization should be ready to enable, configure, support, and fine tune all of these great features for the new server generation. And this is not an obvious task. It requires investments, skills, knowledge and experience. And HP is ready to step up and help customers at any desired skill with the HP Greenlake H2 cloud platform that enables customers for cloud like experience and convenience and the flexibility with the security of the infrastructure deployed in the private data center or in the Edge. So while consuming all of the HP solutions, customer have flexibility to choose the right level of the service delivered from HP GreenLake, starting from hardwares as a service and scale up or down is required to consume the full stack of the hardwares and software as a service with an option to paper use. >> Awesome. Alan, final word. >> Yeah. What should we walk away with? >> Yeah, thanks. So I'd say that we've talked a lot about the systems here in question with HP ProLiant Gen 11 and they're delivering on a lot of the business outcomes that our customers require in order to optimize for operational efficiency or to optimize for just to, well maybe just to enable what they want to do in, with their customers enabling new features, enabling new capabilities. Underpinning all of that is our fourth Gen Zion scalable platform. Whether it's the technology transitions that we're driving with DDR5 PCIA Gen 5 or the raw performance efficiency and scalability of the platform in CPU, I think we're here for our customers in delivering to it. >> That's great stuff. Alan, Dennis, Cynthia, thank you so much for taking the time to do a deep dive in the advanced performance of VDI with the fourth Gen Intel Zion scalable process. And congratulations on Gen 11 ProLiant. You get some great servers there and again next Gen's here. Thanks for taking the time. >> Thank you so much for having us here. >> Okay, this is theCUBEs keeps coverage of Compute Engineered for your Hybrid World sponsored by HP and Intel. I'm John Furrier for theCUBE. Accelerate VDI at the Edge. Thanks for watching.

>>Hey everyone, welcome to this event, HPE Compute Security. I'm your host, Lisa Martin. Kevin Dee joins me next Senior director, future Surfer Architecture at hpe. Kevin, it's great to have you back on the program. >>Thanks, Lisa. I'm glad to be here. >>One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And if we think of how dramatically the landscape has changed in the last couple of years, I was looking at some numbers that H P V E had provided. Cybercrime will reach 10.5 trillion by 2025. It's a couple years away. The average total cost of a data breach is now over 4 million, 15% year over year crime growth predicted over the next five years. It's no longer if we get hit, it's when it's how often. What's the severity? Talk to me about the current situation with the cybersecurity landscape that you're seeing. >>Yeah, I mean the, the numbers you're talking about are just staggering and then that's exactly what we're seeing and that's exactly what we're hearing from our customers is just absolutely key. Customers have too much to lose. The, the dollar cost is just, like I said, staggering. And, and here at HP we know we have a huge part to play, but we also know that we need partnerships across the industry to solve these problems. So we have partnered with, with our, our various partners to deliver these Gen 11 products. Whether we're talking about partners like a M D or partners like our Nick vendors, storage card vendors. We know we can't solve the problem alone. And we know this, the issue is huge. And like you said, the numbers are staggering. So we're really, we're really partnering with, with all the right players to ensure we have a secure solution so we can stay ahead of the bad guys to try to limit the, the attacks on our customers. >>Right. Limit the damage. What are some of the things that you've seen particularly change in the last 18 months or so? Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? >>Well, there, there's been a massive number of attacks just in the last 12 months, but I wouldn't really say it's so much changed because the amount of attacks has been increasing dramatically over the years for many, many, many years. It's just a very lucrative area for the bad guys, whether it's ransomware or stealing personal data, whatever it is, it's there. There's unfortunately a lot of money to be made into it, made from it, and a lot of money to be lost by the good guys, the good guys being our customers. So it's not so much that it's changed, it's just that it's even accelerating faster. So the real change is, it's accelerating even faster because it's becoming even more lucrative. So we have to stay ahead of these bad guys. One of the statistics of Microsoft operating environments, the number of tax in the last year, up 50% year over year, that's a huge acceleration and we've gotta stay ahead of that. We have to make sure our customers don't get impacted to the level that these, these staggering number of attacks are. The, the bad guys are out there. We've gotta protect, protect our customers from the bad guys. >>Absolutely. The acceleration that you talked about is, it's, it's kind of frightening. It's very eye-opening. We do know that security, you know, we've talked about it for so long as a, as a a C-suite priority, a board level priority. We know that as some of the data that HPE e also sent over organizations are risking are, are listing cyber risks as a top five concern in their organization. IT budgets spend is going up where security is concerned. And so security security's on everyone's mind. In fact, the cube did, I guess in the middle part of last, I did a series on this really focusing on cybersecurity as a board issue and they went into how companies are structuring security teams changing their assumptions about the right security model, offense versus defense. But security's gone beyond the board, it's top of mind and it's on, it's in an integral part of every conversation. So my question for you is, when you're talking to customers, what are some of the key challenges that they're saying, Kevin, these are some of the things the landscape is accelerating, we know it's a matter of time. What are some of those challenges and that they're key pain points that they're coming to you to help solve? >>Yeah, at the highest level it's simply that security is incredibly important to them. We talked about the numbers. There's so much money to be lost that what they come to us and say, is security's important for us? What can you do to protect us? What can you do to prevent us from being one of those statistics? So at a high level, that's kind of what we're seeing at a, with a little more detail. We know that there's customers doing digital transformations. We know that there's customers going hybrid cloud, they've got a lot of initiatives on their own. They've gotta spend a lot of time and a lot of bandwidth tackling things that are important to their business. They just don't have the bandwidth to worry about yet. Another thing which is security. So we are doing everything we can and partnering with everyone we can to help solve those problems for customers. >>Cuz we're hearing, hey, this is huge, this is too big of a risk. How do you protect us? And by the way, we only have limited bandwidth, so what can we do? What we can do is make them assured that that platform is secure, that we're, we are creating a foundation for a very secure platform and that we've worked with our partners to secure all the pieces. So yes, they still have to worry about security, but there's pieces that we've taken care of that they don't have to worry about and there's capabilities that we've provided that they can use and we've made that easy so they can build su secure solutions on top of it. >>What are some of the things when you're in customer conversations, Kevin, that you talk about with customers in terms of what makes HPE E'S approach to security really unique? >>Well, I think a big thing is security is part of our, our dna. It's part of everything we do. Whether we're designing our own asics for our bmc, the ilo ASIC ILO six used on Gen 11, or whether it's our firmware stack, the ILO firmware, our our system, UFI firmware, all those pieces in everything we do. We're thinking about security. When we're building products in our factory, we're thinking about security. When we're think designing our supply chain, we're thinking about security. When we make requirements on our suppliers, we're driving security to be a key part of those components. So security is in our D N a security's top of mind. Security is something we think about in everything we do. We have to think like the bad guys, what could the bad guy take advantage of? What could the bad guy exploit? So we try to think like them so that we can protect our customers. >>And so security is something that that really is pervasive across all of our development organizations, our supply chain organizations, our factories, and our partners. So that's what we think is unique about HPE is because security is so important and there's a whole lot of pieces of our reliance servers that we do ourselves that many others don't do themselves. And since we do it ourselves, we can make sure that security's in the design from the start, that those pieces work together in a secure manner. So we think that gives us a, an advantage from a security standpoint. >>Security is very much intention based at HPE e I was reading in some notes, and you just did a great job of talking about this, that fundamental security approach, security is fundamental to defend against threats that are increasingly complex through what you also call an uncompromising focus to state-of-the-art security and in in innovations built into your D N A. And then organizations can protect their infrastructure, their workloads, their data from the bad guys. Talk to us briefly in our final few minutes here, Kevin, about fundamental uncompromising protected the value in it for me as an HPE customer. >>Yeah, when we talk about fundamental, we're talking about the those fundamental technologies that are part of our platform. Things like we've integrated TPMS and sorted them down in our platforms. We now have platform certificates as a standard part of the platform. We have I dev id and probably most importantly, our platforms continue to support what we really believe was a groundbreaking technology, Silicon Root of trust and what that's able to do. We have millions of lines of firmware code in our platforms and with Silicon Root of trust, we can authenticate all of those lines of firmware. Whether we're talking about the the ILO six firmware, our U E I firmware, our C P L D in the system, there's other pieces of firmware. We authenticate all those to make sure that not a single line of code, not a single bit has been changed by a bad guy, even if the bad guy has physical access to the platform. >>So that silicon route of trust technology is making sure that when that system boots off and that hands off to the operating system and then eventually the customer's application stack that it's starting with a solid foundation, that it's starting with a system that hasn't been compromised. And then we build other things into that silicon root of trust, such as the ability to do the scans and the authentications at runtime, the ability to automatically recover if we detect something has been compromised, we can automatically update that compromised piece of firmware to a good piece before we've run it because we never want to run firmware that's been compromised. So that's all part of that Silicon Root of Trust solution and that's a fundamental piece of the platform. And then when we talk about uncompromising, what we're really talking about there is how we don't compromise security. >>And one of the ways we do that is through an extension of our Silicon Root of trust with a capability called S Spdm. And this is a technology that we saw the need for, we saw the need to authenticate our option cards and the firmware in those option cards. Silicon Root Prota, Silicon Root Trust protects against many attacks, but one piece it didn't do is verify the actual option card firmware and the option cards. So we knew to solve that problem we would have to partner with others in the industry, our nick vendors, our storage controller vendors, our G vendors. So we worked with industry standards bodies and those other partners to design a capability that allows us to authenticate all of those devices. And we worked with those vendors to get the support both in their side and in our platform side so that now Silicon Rivers and trust has been extended to where we protect and we trust those option cards as well. >>So that's when, when what we're talking about with Uncompromising and with with Protect, what we're talking about there is our capabilities around protecting against, for example, supply chain attacks. We have our, our trusted supply chain solution, which allows us to guarantee that our server, when it leaves our factory, what the server is, when it leaves our factory, will be what it is when it arrives at the customer. And if a bad guy does anything in that transition, the transit from our factory to the customer, they'll be able to detect that. So we enable certain capabilities by default capability called server configuration lock, which can ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, swapping out processors, whatever it is, we'll detect if a bad guy did any of that and the customer will know it before they deploy the system. That gets enabled by default. >>We have an intrusion detection technology option when you use by the, the trusted supply chain that is included by default. That lets you know, did anybody open that system up, even if the system's not plugged in, did somebody take the hood off and potentially do something malicious to it? We also enable a capability called U EFI secure Boot, which can go authenticate some of the drivers that are located on the option card itself. Those kind of capabilities. Also ilo high security mode gets enabled by default. So all these things are enabled in the platform to ensure that if it's attacked going from our factory to the customer, it will be detected and the customer won't deploy a system that's been maliciously attacked. So that's got >>It, >>How we protect the customer through those capabilities. >>Outstanding. You mentioned partners, my last question for you, we've got about a minute left, Kevin is bring AMD into the conversation, where do they fit in this >>AMD's an absolutely crucial partner. No one company even HP can do it all themselves. There's a lot of partnerships, there's a lot of synergies working with amd. We've been working with AMD for almost 20 years since we delivered our first AM MD base ProLiant back in 2004 H HP ProLiant, DL 5 85. So we've been working with them a long time. We work with them years ahead of when a processor is announced, we benefit each other. We look at their designs and help them make their designs better. They let us know about their technology so we can take advantage of it in our designs. So they have a lot of security capabilities, like their memory encryption technologies, their a MD secure processor, their secure encrypted virtualization, which is an absolutely unique and breakthrough technology to protect virtual machines and hypervisor environments and protect them from malicious hypervisors. So they have some really great capabilities that they've built into their processor, and we also take advantage of the capabilities they have and ensure those are used in our solutions and in securing the platform. So a really such >>A great, great partnership. Great synergies there. Kevin, thank you so much for joining me on the program, talking about compute security, what HPE is doing to ensure that security is fundamental, that it is unpromised and that your customers are protected end to end. We appreciate your insights, we appreciate your time. >>Thank you very much, Lisa. >>We've just had a great conversation with Kevin Depu. Now I get to talk with David Chang, data center solutions marketing lead at a md. David, welcome to the program. >>Thank, thank you. And thank you for having me. >>So one of the hot topics of conversation that we can't avoid is security. Talk to me about some of the things that AMD is seeing from the customer's perspective, why security is so important for businesses across industries. >>Yeah, sure. Yeah. Security is, is top of mind for, for almost every, every customer I'm talking to right now. You know, there's several key market drivers and, and trends, you know, in, out there today that's really needing a better and innovative solution for, for security, right? So, you know, the high cost of data breaches, for example, will cost enterprises in downtime of, of the data center. And that time is time that you're not making money, right? And potentially even leading to your, to the loss of customer confidence in your, in your cust in your company's offerings. So there's real costs that you, you know, our customers are facing every day not being prepared and not having proper security measures set up in the data center. In fact, according to to one report, over 400 high-tech threats are being introduced every minute. So every day, numerous new threats are popping up and they're just, you know, the, you know, the bad guys are just getting more and more sophisticated. So you have to take, you know, measures today and you have to protect yourself, you know, end to end with solutions like what a AM MD and HPE has to offer. >>Yeah, you talked about some of the costs there. They're exorbitant. I've seen recent figures about the average, you know, cost of data breacher ransomware is, is close to, is over $4 million, the cost of, of brand reputation you brought up. That's a great point because nobody wants to be the next headline and security, I'm sure in your experiences. It's a board level conversation. It's, it's absolutely table stakes for every organization. Let's talk a little bit about some of the specific things now that A M D and HPE E are doing. I know that you have a really solid focus on building security features into the EPIC processors. Talk to me a little bit about that focus and some of the great things that you're doing there. >>Yeah, so, you know, we partner with H P E for a long time now. I think it's almost 20 years that we've been in business together. And, and you know, we, we help, you know, we, we work together design in security features even before the silicons even, you know, even born. So, you know, we have a great relationship with, with, with all our partners, including hpe and you know, HPE has, you know, an end really great end to end security story and AMD fits really well into that. You know, if you kind of think about how security all started, you know, in, in the data center, you, you've had strategies around encryption of the, you know, the data in, in flight, the network security, you know, you know, VPNs and, and, and security on the NS. And, and even on the, on the hard drives, you know, data that's at rest. >>You know, encryption has, you know, security has been sort of part of that strategy for a a long time and really for, you know, for ages, nobody really thought about the, the actual data in use, which is, you know, the, the information that's being passed from the C P U to the, the, the memory and, and even in virtualized environments to the, the, the virtual machines that, that everybody uses now. So, you know, for a long time nobody really thought about that app, you know, that third leg of, of encryption. And so a d comes in and says, Hey, you know, this is things that as, as the bad guys are getting more sophisticated, you, you have to start worrying about that, right? And, you know, for example, you know, you know, think, think people think about memory, you know, being sort of, you know, non-persistent and you know, when after, you know, after a certain time, the, the, you know, the, the data in the memory kind of goes away, right? >>But that's not true anymore because even in in memory data now, you know, there's a lot of memory modules that still can retain data up to 90 minutes even after p power loss. And with something as simple as compressed, compressed air or, or liquid nitrogen, you can actually freeze memory dams now long enough to extract the data from that memory module for up, you know, up, up to two or three hours, right? So lo more than enough time to read valuable data and, and, and even encryption keys off of that memory module. So our, our world's getting more complex and you know, more, the more data out there, the more insatiable need for compute and storage. You know, data management is becoming all, all the more important, you know, to keep all of that going and secure, you know, and, and creating security for those threats. It becomes more and more important. And, and again, especially in virtualized environments where, you know, like hyperconverged infrastructure or vir virtual desktop memories, it's really hard to keep up with all those different attacks, all those different attack surfaces. >>It sounds like what you were just talking about is what AMD has been able to do is identify yet another vulnerability Yes. Another attack surface in memory to be able to, to plug that hole for organizations that didn't, weren't able to do that before. >>Yeah. And, you know, and, and we kind of started out with that belief that security needed to be scalable and, and able to adapt to, to changing environments. So, you know, we, we came up with, you know, the, you know, the, the philosophy or the design philosophy that we're gonna continue to build on those security features generational generations and stay ahead of those evolving attacks. You know, great example is in, in the third gen, you know, epic C P U, that family that we had, we actually created this feature called S E V S N P, which stands for SECURENESS Paging. And it's really all around this, this new attack where, you know, your, the, the, you know, it's basically hypervisor based attacks where people are, you know, the bad actors are writing in to the memory and writing in basically bad data to corrupt the mem, you know, to corrupt the data in the memory. So s e V S and P is, was put in place to help, you know, secure that, you know, before that became a problem. And, you know, you heard in the news just recently that that becoming a more and more, more of a bigger issue. And the great news is that we had that feature built in, you know, before that became a big problem. >>And now you're on the fourth gen, those epic crosses talk of those epic processes. Talk to me a little bit about some of the innovations that are now in fourth gen. >>Yeah, so in fourth gen we actually added, you know, on top of that. So we've, we've got, you know, the sec the, the base of our, our, what we call infinity guard is, is all around the secure boot. The, you know, the, the, the, the secure root of trust that, you know, that we, we work with HPE on the, the strong memory encryption and the S E V, which is the secure encrypted virtualization. And so remember those s s and p, you know, incap capabilities that I talked about earlier. We've actually, in the fourth gen added two x the number of sev v s and P guests for even higher number of confidential VMs to support even more customers than before. Right? We've also added more guest protection from simultaneous multi threading or S M T side channel attacks. And, you know, while it's not officially part of Infinity Guard, we've actually added more APEC acceleration, which greatly benefits the security of those confidential VMs with the larger number of VCPUs, which basically means that you can build larger VMs and still be secured. And then lastly, we actually added even stronger a e s encryption. So we went from 128 bit to 256 bit, which is now military grade encryption on top of that. And, you know, and, and that's really, you know, the de facto crypto cryptography that is used for most of the applications for, you know, customers like the US federal government and, and all, you know, the, is really an essential element for memory security and the H B C applications. And I always say if it's good enough for the US government, it's good enough for you. >>Exactly. Well, it's got to be, talk a little bit about how AMD is doing this together with HPE a little bit about the partnership as we round out our conversation. >>Sure, absolutely. So security is only as strong as the layer below it, right? So, you know, that's why modern security must be built in rather than, than, you know, bolted on or, or, or, you know, added after the fact, right? So HPE and a MD actually developed this layered approach for protecting critical data together, right? Through our leadership and, and security features and innovations, we really deliver a set of hardware based features that, that help decrease potential attack surfaces. With, with that holistic approach that, you know, that safeguards the critical information across system, you know, the, the entire system lifecycle. And we provide the confidence of built-in silicon authentication on the world's most secure industry standard servers. And with a 360 degree approach that brings high availability to critical workloads while helping to defend, you know, against internal and external threats. So things like h hp, root of silicon root of trust with the trusted supply chain, which, you know, obviously AMD's part of that supply chain combined with AMD's Infinity guard technology really helps provide that end-to-end data protection in today's business. >>And that is so critical for businesses in every industry. As you mentioned, the attackers are getting more and more sophisticated, the vulnerabilities are increasing. The ability to have a pa, a partnership like H P E and a MD to deliver that end-to-end data protection is table stakes for businesses. David, thank you so much for joining me on the program, really walking us through what am MD is doing, the the fourth gen epic processors and how you're working together with HPE to really enable security to be successfully accomplished by businesses across industries. We appreciate your insights. >>Well, thank you again for having me, and we appreciate the partnership with hpe. >>Well, you wanna thank you for watching our special program HPE Compute Security. I do have a call to action for you. Go ahead and visit hpe com slash security slash compute. Thanks for watching.

>>Hey there, thank you for joining me. My name is Heather Pick and I head up strategy and portfolio for point next technology services. Um I really appreciate you guys joining me today. So I want to take you through some of the experiential changes that we are launching today in accordance with their compute space that we believe are going to drive the success of our compute platform without our customer environment. I always like to start these presentations with a provocative yet somewhat simple question and today um I want to start with what would you do if you had an hours, more time and every day. Now to be clear, I'm not looking to extend the day to 25 hours so you can cram more stuff into it. I'm really looking at if I gave you an hour's worth of time of stuff that you did today and tomorrow, you don't have to do it anymore. What would you do with that time? Would you take a lunch hour? Would you leave at a reasonable hour on a daily basis from work? Would you spend that hour really thinking about that strategic project that your boss needs you to go do some R. And D on and really forgot where it is. You need to take the company. What would you do with that precious time? And I ask you because here within point, next technology services, we believe that the element of time is one of the most valuable resources that we can give back to our customers, right? And we see that in two spaces, right? So both in time saved and then time well spent. And let me tell you what it is. I mean about this. So when we talk about giving time back to our customers, that's in terms of a rich digital experience that provides automation and Ai and ultimately access to the things that matter to our customers so that they can do the day to day job of managing their technology ecosystem. Yeah. We don't want to undermine the fact that that same digital platform is also leveraged in order to enhance conversations with our customers that we consider time well spent. So answering questions about what would happen if I turn to this feature on what can I expect um if I make this architectural changes and we're seeing both of those questions come our way hard and fast from our customer base. And these two elements are the underpinning of the entire portfolio experience change that we're bringing to market. Yeah. So what do I mean specifically when we talk about time well saved our time safe. So how how are you going to realize this within your day to day? So number one, it's it's knowing our customers, right? We are working with a lot of different personas within our customer base, right? So we might have a purchasing agent, we might have an I. T. Line manager and the ability and the requirement within that digital ecosystem to know that person the moment they walk through the front door, whatever their front door is, whether it's a digital front door, whether it's a phone call, whether it's an email, whether it's reaching out to an HP person that's on site that we have that digital footprint on them to know who they are and what information matters to them second, taking our technology capabilities and all the information and the richness that's within that digital environment and providing them access to the information about their products that's meaningful to them. Sometimes they don't want to talk to us. Sometimes they just want to know how to do a simple field replacement of something or, or when they get into those more complex. Hey, I need more expertise. I really do need to do some scenario planning. How do I get access to those technologists that can help me? And then how do those technologists bring other people to that conversation so that I leave that conversation knowing that have the right answer and the decision that I've made is the right one for my company. So let me take you through an example of what it is I'm talking about. So as you enter into the new digital customer experience or HP Support center, as you've known it, you're going to notice a dearth of information that's available to you. And one of the cornerstones are foundational elements in developing this new experience is really that it's tolerable. Not every customer and not every persona within every customer wants access to all this information. So, customization on this entry point is critical for you. So, whether you are a line manager who wants to understand all of the things that are going on within your environment, whether you're a technologist that wants to understand what is the technical risk within my environment right now, whether that's their product alerts or critical downloads, or again back into that broader view of what's happening with my contracts, what's expiring, how much money am I going to have to spend this year to keep the keep these contracts going? That's all available to you within this digital experience, and again, heavily customizable based on what you want to see. So in terms of asset management, let's get down to the technical aspects associated with it. So, our technologists need access into their environment on a per product or per technology basis. When we talk about compute it gets even more critical for me to know what kind of compute assets I have and again, what are the features and functionality or potential risks within those environments? This allows a rich ecosystem with access to all of that technical knowledge, very prescriptive information about the different products that's that you have running within your environment, access to both a digital ecosystem as well as peers doing similar things. And then finally, a roll up to give you proactive insights to again your entire environment from a technical view so that you can identify and manage risks in aggregate as opposed to on a per asset basis. We believe that these are the two foundational elements of success in giving customers time back and then also providing the foundation for meaningful experiences. So I've taken you through the detail on what we mean by saving you time. I've taken you through a demo of our new digital customer experience. Now let me talk a little bit in depth about what we mean by time, well spent more and more coming from our customers, they're expecting us to deal with the technology issues, you know, of our technology, but more and more. They also want information on the broader implications of technology changes within their environments so things around performance. How do I get more performance from this from this compute platform that I look at? How do I find tune it so that it can be more workload addressable? Um what happens when I toggle this feature to the network impact? So more and more often we're having to have much broader conversations, again, more meaningful conversations with our customer base on the outcomes that they're trying to drive. So as a result, our offerings are changing in order to pivot towards your more workload mindset and that more aggregate view as you'll see reflected in some of our technology tools. I'm going to take you through an interview with one of our technologists um to show you what it is I'm talking about. So joining me is Nation George. He is one of our senior technologists. Within point. Next Technology services Nation, thank you for joining us. How are you doing today? >>Be good, >>awesome. So you see a lot you've been with us, You're dealing with a lot of customers. Tell us what you're seeing on a day to day basis. What questions are you getting for their customers? How are you seeing these interactions change? >>Absolutely. Before I go into the examples, I've haven't seen your technologist in plain X. Global Remote Services. What I do late today is actually solving complex problems. I can give you a few examples. For example, like a couple of days back I was actually on a customer call um they were looking for understanding the benefits of tag versus tunnel network in more in hb synergy when inter operating with one view Cisco ASA and B M R V center and this is in the interoperability space. Another example would be a customer coming in and asking like this is a telecommunication customer who want to know how to integrate their centralist monitoring tool um to retrieve physical encounters from H. B. Products so that they can have their proactive monitoring in place, right. And some of the other common questions what we see from customers are around maintenance which means like they are doing an infrastructure former update and or infrastructure update. They would like to understand how the version compatibility, the known issues specific to their environment or the best practices what they can follow so that the updates complete successfully. You know, these are the type of request, what we are seeing mostly now from the customers. >>Okay, so really diverse, Pretty complex. A lot of moving parts. Um, how do you know, what kind of methodology or how are we doing to ensure consistency across all these interactions in the different customers? >>Absolutely. We have developed a method and a mindset to provide a frictionless experience to the customer. When they come with these questions, you know what it means is actually that when they come with the question, we try to understand their technical problem technical problem from a technology standpoint. Then we try to see how the technical problem impacts the workload and application and how does it impact their business. We get into an understanding of the technical problem. Then we try to understand that. What are the components involved in the solution for example like compute storage, fabric and software. And then try to understand the into anthropology and data flow with the understanding of the technical problem and the solution into interview. Now we are able to understand what the customer is trying to achieve and what the expected outcome of the interaction need to be and now that we know the expertise needed and most of the time we have the expertise needed to take care of the request. In some cases we need to bring additional experts but we will bring the additional experts but all the time we will keep the solution level ownership until the expected outcome is achieved. Once we are able to collaborate, the experts were able to explain to the customer that the actionable steps which they can perform to actually resolve the problem or achieve the expected outcome. You know? This is the type method what we use whenever the customer comes for advice and guidance. >>So what do you think the ultimate benefits are to the customer? And kind of simplified terms? >>Yeah, these are some of the benefits. What I can see, you know one. They can call us to the support line for any help. For example, like they have a question, they need an answer, they need an advice and guidance or they have support issues that one stop shop like they come to our call, they call us and get them the assistant second, it is a solution level ownership. The person who picks up the call and assist will stay on with the solution level ownership until the customers expected outcome is achieved third. Once we follow the method, what I explained earlier, we will always get to foster resolution and always achieves the customers outcomes. Actually see at the end of it. The central focus here is to reach customers outcome and with solution level ownership. >>Great, thank you so much for joining me. This has been really, really insightful. It's always good to be able to talk with our technologists. >>Thank you heather. >>Okay, so you can never come to one of these without some sort of a call to action. So what am I? What am I asks of you? Check out, check care, right, explore the digital customer experience, use those tools and resources that are available into the air. Use it and give us feedback. This is not a capability that we're rolling out, that we're not going to touch. You're going to see iterative value added to it and that's going to be driven primarily by customer feedback and then telemetry that we're getting on how it is. They're using it, so use it and give us that feedback. Get your time back, really, get your time back, take your lunch, um, spend time on the strategic projects. That's what we're here for. This is we think one of our most compelling assets that we can do for our customer base. Thank you for your time.

>> Hello, my name is Peter Moser. I'm a chief technologist and IoT and AI strategist for HPE. And with me today is John Carter. He's the director of the ProLiant Product Management family. And we are going to talk to you about how we can take your business to the next level using the intelligent edge. So what is the edge? Why should you care? Well, when you look at IDC and Gartner's and others they're reporting that over 55 billion nest with the B devices will be deployed by 2022. That's not too far down the road from now and these devices are all going to be creating data. Well, most businesses also has been reported using less than 6% of all available data. So what all this is going to do is compound that challenge. Then you look at another data point, where over 50% of all new data is going to be created at the edge, indeed be processed at the edge. So when you have things like sensors and video cameras, all creating data, the need to deal with that data as close to where it's being created, as possible, is the most economic way of dealing with that data. But most importantly, it's also necessary from a timing standpoint that you'll get value from that data as quickly as you can, in many cases and the best way to do that is processing the data where it's being created. So let's take a look at what the intelligent edge looks like. Think about the connectivity that's necessary to connect these new video cameras, these new sensors and other types of devices you're going to be creating its data. That connectivity has to be secure and it has to be intelligent. Why does it have to be intelligent? Cause you want to be able to authenticate anything that wants to connect to that network fabric before it's allowed to do anything at all. So that means you going to have to have a high degree of intelligence like machine learning, for instance, to really understand what that is that device is trying to connect to your network and what kind of credentials that device should have. Then once you do that, then you need to have the necessary processing capabilities to then to be able to ingest that data, analyze that data and to create the necessary action to be able to act on that data. So not only do you have to have that pervasive connectivity via wireless or wired connectivity but also you have to have that data center class compute that enables you to adjust this massive amount of data and then to be able to create the insight necessary to act on that data and do so in a secure manner. So what does edge computing look like? Well, for many businesses, they need to make a decision and have that insight within milliseconds because milliseconds do matter. Say for instance, you're running a process where you're manufacturing an item. When you're going through say quality control, you want to be able to detect a defect in a microsecond so or little seconds to be able to know do I need to shut down the plant to enable me or to shut down that production run to enable me to then determine what caused that defect before I create too much of defective products and have all that waste or in worst case scenario, that product goes out of the door and you end up with a massive recall which can damage your brand. But then think about autonomous operations. What COVID has showed us is that businesses need a higher degree of resiliency because when your workers can't come to work, then what do you do? You get more and more businesses relying on automation to allow them to keep their plant operations functioning and enabling their workers to work remotely to be able to monitor and to control operations. Of course, security and compliance underlines all of this. Everything has to be secure to make sure that your edge environment stays secure not only from a connectivity standpoint but to make sure that no bad actors get on your network cause a lot of people have a false sense of security thinking that because it's behind the corporate firewall, they're okay. That's simply not true cause over 40% of all cyber attacks occur through phishing events. That means they steal legitimate credentials from employees and use those to access the network to see if you have to have other forms of or ways of identifying these types of attacks and then identifying and isolating them and containing them. And that's where having intelligence built into the network is so important. But with many customers that they may do a project that use case, if you will, the edge they have a challenge with scaling. And that is where it's important to have an architectural design in the right edge-based solution that enables you to now have a successful pilot. But to be able to scale that into a full production solution and one that can be replicated across all your sites. Because at the edge you have a combination of compute, storage and networking, which are all integral in creating a solution necessary to drive your business. But these solutions have to be managed because typically at the edge, we don't have the resources like we do in the data center. And so we rely on having data center class management capabilities but at the edge, it allows remote resources to manage that compute, storage, networking assets there at the edge. But additionally should customers want to consume an edge-based service, HPE offers consumption-based services that allow you to manage those resources remotely but then have a dashboard that enables you to have that transparency to share the state of all those assets with your different stakeholders. And so you see here a fusion between the edge and the cloud because they're not really mutually exclusive like some people think. The edge and the cloud do work together but what we're finding is, the edge has to have a higher degree of resiliency and independence because if you think about it, many businesses today in especially remote locations, don't have the same connectivity options that a business in a big city might have. They have lot of low bandwidth circuits for instance and some of these circuits aren't very reliable. So businesses need to have the capability of running their operations independent of any kind of connectivity to a data center or the cloud. That's what's key about the intelligent edge. But when that connectivity is there, they want the ability to have remote access to those edge resources and the ability to monitor their state, to be able to resume operations with remote capabilities. Okay, now let's look at some customer examples where the intelligent edge is helping drive real business value. HPE has a manufacturing customer that makes hard drives and for them quality is paramount because their customers store their data on their hard drives. So this customer needed the ability using computer vision or in other words a video camera looking through electron microscope to be able to scan away from the hard drive and make a determination in less than 10 milliseconds, is there a defect on this wafer? And the action was to stop the process, determine what caused the defect, remedy the problem before they produce too many drives and then have a substantial amount of waste, or in worst case scenario actually ship the drives and have a recall. So HPE was able to put an intelligent edge solution in place that allowed them to scan for defects and then be able to act upon any identified defects in less than nine milliseconds. We also had a very large retailer where the challenge is with self checkout is shrinkage or many cases also known as theft. For these customers, they need to be able to use computer vision to be able to scan and clearly detect at checkout what the customer was doing. Did it have an actual problem with the checkout process or were they trying to undermine and circumvent the checkout process and hide the scanning of the actual barcode. This required again less than 10 millisecond response time to be able to make the determination, what the customer is doing, do they have a real problem or are they circumventing the barcode process and then to be able to act upon that. HPE was able to put an in-store solution that allowed them to capture video from all the different checkout stands and to give them those insights in the timeframe that they needed. We also had a very large customer that has a supply chain optimization challenge that wanted the ability to be able to map the demand signal when they had an order to the supply chain to know could they deliver or meet that order requirement by the date that the customer specified based on the status of their supply chain. So one of the things that COVID has pointed out is that there's a lot of supply chain disruptions because depending on where the supply is coming from or in particular if it has to be shipped from overseas, there could be disruptions and the availability of that supply and HPE was was able to help our customers create an intelligent edge solution that enabled them to be able to better map the demand signal with available supply. Then with healthcare, with COVID, many of our customers' healthcare providers had to change the way they delivered healthcare and what they needed to do was change the way that they did what we call distance healthcare, where they were able to use edge-based technology to then deliver healthcare to their customers or their patients remotely. And HPE was able to put together a solution that enabled them. It's a virtual desktop solution that enabled them to use their devices from their homes to be able to deliver care to their patients. Then lastly, well the things that COVID has also brought to the forefront is the ability for businesses to enable their employees to be able to run their operations remotely from home. Again, this is where the need to provide data center class management capabilities at the edge were critical because they couldn't have employees go into the plants because of COVID restrictions. So the IT staff had to work from home and then manage the edge devices remotely and they had to have the right tools to enable them to do that. So what I'd like to do is hand the conversation over to John to talk about the the HPE assets that enable these types of use cases. So John, do you want to share a little bit about the HPE portfolio? >> Thanks, Peter. What I really appreciated about what you talked about was the idea that no edge use case is quite the same. With that in mind, HPE has developed a portfolio of technologies to really optimize around those different use cases, whether it's one of those AI and inferencing workloads, like you were talking about, where you might use one of our great AMD platforms like the DL385 or 365, or maybe it's more of a traditional data center workload that you've extended out or dis-aggregated onto the edge. There you might consider one of our time tested workhorses like the ProLiant DL360 or 380. And we've even got new products for emerging workloads like on Telco on their edge where we've designed the brand new DL110 for virtualized RAN environments, specifically meeting some of those Telco needs around acceleration and data movement. Finally, some of the examples you talked about really around the manufacturing floor, or other specialized environments where you might have different ambient temperature requirements or other things. This is where HPE edge line really shines. So as you can see here, we've got a lot of different options for you in regards to how you right-size the type of resources for your particular workload. On the left side, you'll see our 1U,1P; very small form factor DL325, really great where you need fewer processing resources but a lot of other high performance access to NVMe or accelerators. Think of things like VDI. When you're tying to put a lot of users into a smaller space, you can move up to one of our devices that offers larger storage footprints. Look at the DL345 or the DL385, both really designed to maximize access to things like NVMe or acceleration while giving you the right balance between process or another resource. Or you can choose to use one of our time-tested answers like the DL360 and 380. These are two of the world's best selling servers and they've been used in environments and applications all over the map. Anything you can think, of these servers have been implemented for. So you can trust that they've been tested, that they've been used and that we've really spent the time optimizing exactly how those servers work for you. And then as mentioned before, we look to continue offering new servers that will help to really bring the exact kind of workload resources needed for new environments as well, specifically the Telco edge. >> Thank you John. For many of our customers, they don't have the resources or the expertise to get started with the intelligent edge. So it's important that they find a partner that has not only the expertise but the partner ecosystem which is critical to help them on their journey. And so what HPE focuses on is bringing the right partners to bear for our customers to help first understand what's the customer trying to accomplish? What's important to them? And focusing on solutions that are going to deliver the business value that the customer expects and then to put together a pilot that's going to not only show the customer the solution that's going to deliver the value that they expect but a pilot platform that can scale is one of the things with the examples I shared earlier, once the customer finish those pilots, they're ready to scale this across all the organization. It was critical for them to have a solution that would scale with their size and these are large companies. So they have multiple sites in some cases, thousands of site, so it's critical. That's a solution scale. So HPE Pointnext Services has that expertise. They have those relationships with the partners to come in, understand what you're trying to accomplish, understand your existing environment which is critical, cause we want to leverage as much of the customer's existing investment as possible but then to bring in the additional capabilities that are necessary to deliver the outcome that the customer wants but to make sure that it is secure. And it all starts with HPE Silicon Root of Trust where it begins with the build process where we make sure that our compute assets are secure all through the build process, there are Silicon Root of Trust even in delivery when the assets powered down, we have tamper-proof capabilities to determine if that asset's been tampered with in transit and then most importantly once it's put into production to make sure that the device stays secure once it's beaded up. Then again to bear for our customers' solutions that solve their business problems; running on the industry's best technology but to give the customer the option of either procuring it or consuming it as a service. Many customers don't know where to get started. We can help you with that as well. First is they want to know how can I improve my decision making process? How can I improve the efficiency of my operations? And for many of our customers, that's doing it locally. Cause all of our customers have a cloud strategy, a hybrid cloud strategy and we incorporate that into the solutions that we build for our customers. We help them really focus in zero end on a pilot project that's going to deliver the business value that they expect. Therefore many of our customers, a lot of these projects never make it out of the lab. They test and test and test and then for some of them when they put it into production, it doesn't scale, so they have to start all over again. So it's important that they have a partner that has experience to help them pick the right use case. But the most importantly, put it in the right architecture that can scale. Then we put together a business model. For many of our customers especially because of COVID, they want options. They want to conserve capital. They don't want to spend their capital on buying a solution. They want to consume a service. And HPE GreenLake services offers that where our customers, if they choose, can have HPE not only build the solution, deploy it, but they manage it for the customer and allow the customer use their resources to focus on creating new services for the business. We even offer leases and other options as well. It is important that customers when they architect an edge-based solution that they architect one that is foundational for all their sites. This also helps customers reduce their costs and also reduces the complexity of the solution going forward. So HPE's GreenLake services gives customers the option of consuming services just like the public cloud at the edge with the transparency that the public cloud offers as well by giving customers that full dashboard view of the status of their edge-based infrastructure so that they can report out and provide that transparency to their stakeholders but also to bring in the partner ecosystem that goes with that. The partner ecosystem that allows you to create the platform to find the right solutions that run on those platforms, be an artificial intelligence or IoT or data pipelines, whatever it might be is necessary to drive the use cases that the customer needs to improve their business. But also financial services to give the customer choice on how they want to deploy their solutions, they want to capital acquire it, then want to lease it or do they want to consume it as a service. If you'd like to learn more about the products you've heard about today, here are two links to our ProLiant or edge line servers. So on behalf of John and myself, we want to thank you for your time today and hope you found this information useful. Thank you.

>> Hi everyone, my name is Michael Swan and I'm the global director of business development for HPE Financial Services, and I'm really excited to have the opportunity to speak with you today. In this session, I will provide you with an overview of how we help our customers create investment capacity to help fuel their cloud in digital transformation initiatives. I will then share with you three customer use cases to talk about the types of solutions that we've implemented to help our customers move their businesses forward. Now, it wasn't that long ago that businesses were prioritizing their 2020 digital transformation projects. And executives were telling us that they thought 2020 was going to be a year where they were going to see a significant ramp in their spending on digital transformation projects. Businesses were already starting to plan to make investments in cloud and security and AI and machine learning to help improve their customer experience, help to advance employee productivity, and help them to get an overall better competitive edge. Then of course, we were all hit by the COVID-19 pandemic. And in response to the pandemic, businesses have had to think really hard about how do they enable workforce productivity when they have nearly all of their employee base working from home. They've also had to think about some of the challenges around ensuring connectivity, security, and maintaining a very high degree of customer support and customer experience. And the economic impact of COVID put a lot of pressure on companies to maintain their cash positions and preserve capital. Now Gartner's forecasted that IT spending will increase to about $3.7 trillion in 2021, which is up about a little more than 4% from last year. And investment in cloud-based IT infrastructure in particular is expected to surge to more than 27% this year. So what all this is telling us is that customers are ready to move beyond the pandemic. They're thinking about how can I take my company to the next level? Where are the investments that I need to be making to advance and grow? Now to advance and grow requires investment capacity. Investment capacity is really the lifeblood of any business, and without that, you can't invest in your digital transformation, and you can't invest in the long-term future of your business. So this is where HPE Financial Services can help. We're working with businesses to help create the investment capacity that they need to move their business ahead. And we're doing this in three ways. Firstly, we're creating financial vitality. In the last two years alone, we've injected more than $640 million back into our customers' budgets to help fuel their investments. And we provide a range of investment solutions that help our customers to increase their ability to invest and do so in a way that actually results in better financial outcomes. Secondly, we're able to manage any tech, anytime, anywhere. We are recognized by both IDC and Gartner as a global leader in asset lifecycle supporting the circular economy. And in the last two years alone, we've taken in more than eight million assets into our technology renewal centers with more than 90% of those assets being designated for reuse before recycle. And thirdly, we are your CIFO. With nearly 30 years of IT Asset economic experience in our DNA, we work with you to understand where you want to go, what you need, and to help you put an investment strategy in place to help you get there. Let's now look at some of the solutions that we are delivering to our customers. Now, many of our customers seek to defer or reduce the expense of investing in IT in order to preserve their capital, or to try to do more with their available budgets. So we offer a range of Payment Deferral programs which enable our customers to delay the upfront costs of modernizing their IT. And in response to COVID, in 2020 we introduced the Payment Relief Program which enables customers to keep those critical IT projects moving forward while deferring more than 90% of the cost into the next calendar year. We're also helping customers to create investment capacity by generating cash from assets. And we're doing this based on the value of equipment that they already own. With our Accelerated Migration offer, we're converting existing, client-owned IT into an incremental source of capital, while enabling them to continue to use that equipment for its remaining useful life. And with our Tech Buyback program, we're managing the disposition of older legacy equipment returning value back to our customers and helping them to contribute to their sustainability initiatives. Now in each of our IT investment solutions, we aim to help our customers match their payments with the use of the technology. Our Extended Deployment solution is a phased deployment program that allows our customers to acquire the critical technology that they need today upfront. But we allow them time to get the equipment stood up in place, configured and tested, up and running before they actually have to begin making any payments for that equipment. And then lastly, we help enterprises relieve capacity strain or delivery delays that might be caused by supply chain disruptions or limitations in their capital budget, ar perhaps they're just simply looking to maintain existing legacy systems that are running critical business applications. And we do this by sourcing HPE certified pre-owned equipment that can be used to help maintain existing legacy systems. Now, all of the pre-owned equipment that we make available is available with a warranty, and is also eligible for HPE support services. Now, with that, as an overview, I'd like to transition to a brief video, which highlights how we help customers create investment capacity. (bright music) HPE and HPE Financial Services are meeting customer demands across the IT life cycle, while also contributing to the circular economy. And we're doing this in three ways. First HPE designs solutions and sources components with the aim to maximize reuse before recycle, and to minimize environmental impacts. Second, HPE's GreenLake Cloud services helps customers to acquire and consume only the capacity that they need for the period of time that they need to use it, and have the flexibility to refresh technology in an environmentally friendly way. We are committed to taking back 100% of all technology that is deployed within the HPE GreenLake Services contract. And last, HPE has industry leading experience and capabilities to renew IT assets, keeping them in the circular economy longer, and thus minimizing waste. We are committed to helping each one of our customers contribute to the circular economy, and this is one of the more important reasons why customers choose to partner with HPE. So let's now look at three customer use cases to help explain how we have helped customers create the investment capacity that they needed to move their business ahead. This first example involves an agricultural company based in Turkey. Their objective was to prevent COVID from disrupting their operations. They needed to ensure that they could preserve cash while at the same time, they wanted to continue to move ahead with a critical IT modernization project. They sought creative approaches to do more with their IT budget and to keep the project moving on track. HPE Financial Services made it possible for MAY Tohum to continue modernizing their IT estate while deferring the cost of the project into the following fiscal year, by utilizing our Payment Relief program. As a result, the infrastructure transformation project went forward, they were able to preserve their cash position and most importantly, MAY was able to continue to bring its innovative seed products to market without any disruption. The next customer example involved a large bank in New Zealand. Now, it might come as a surprise to you to think about a bank seeking additional investment capacity. Well banks understand well the importance of maximizing the return on their capital, and they also need to comply with regulations requiring certain capital funding commitments. Therefore banks as a whole comprise one of our largest set of customers. Now this bank in particular sought to transform the management of IT for their business to an as-a-service model. They sought additional investment capacity, and they wanted a single approach to managing their IT infrastructure. HPE Financial Services helped the bank to generate cash from their existing assets and transition them into the new GreenLake Services contract. This solution helped ensure not only that the ongoing business operations would not be disrupted, but it also provided an additional source of capital to help fund the project, and it helped to accelerate their move to an as-a-service model. And the last example I would like to share with you involves a hospital based in Austria. Now like most healthcare facilities around the world, this hospital's operations were severely impacted by COVID in the increased demand for their services. They experienced IT system constraints that were created by increased patient workloads, and sought immediate access to additional computing power to ensure they could continue to deliver critical care to their patients. HPE Financial Services sourced 14 Gen9 C7000 Blades, pre-owned equipment to match the existing systems that they already had in place. And this enabled the hospital to ensure that they could provide uninterrupted operations and critical care to their patients. HPE Financial Services also works closely with partners, whether they be IT solution providers, system integrators, or channel partners to help them create investment capacity for their customers. So now I'd like to share a brief video with a few stories from some of our partners. >> We had a client who needed to roll out a more robust identity and access management solution to support their efforts of enabling their remote workforce. The project wasn't budgeted, but quickly moved to the top of the priority list. And we were able to structure a deal that allowed them to acquire the technology they needed in the timeframe required, while deferring payments over an extended period. >> I think what's really important for the HPE at Tech Data structure shift, it allows us to offer an enterprise class solution as a true partnership, addressing some of their requirements and needs of the enterprise market plus. >> Obviously the customer was very pleased, we were very happy, and it was a way for us to get much closer to that customer, become their trusted advisor, and set us up for the future where we can continue to add value to that customer with HPE. >> Now we do believe that Hewlett-Packard Enterprise has a very strong and competitive offering to our customers when it comes to especially asset upcycling services, and also offering certified pre-owned products on the Nordic market. >> We leveraged HPEFS to acquire millions of dollars of hardware to stock up our data center to provide instant on-demand for a virtual desktop environment for remote users for several of our manufacturing and financial clients. (light music) >> As a recap, HPE provides the solutions and services to accelerate your business transformation. With HPE GreenLake, you can deploy any workload as-a-service and achieve cloud-like speed, agility, in the as-a-service model, wherever your apps and your data reside today, whether that be in a co-location facility, or within your own data center. With HPE Pointnext Services, you gain access to more than 15,000 experts, and an ecosystem of partners to help you at every stage of your digital transformation journey. And HPE Financial Services helps you create investment capacity to drive your digital transformation initiatives. We help you overcome financial barriers to your transformation, we help you unlock the value of your entire IT estate, and we are your business and technology partner. Maintaining flexibility and creating financial capacity are key to achieving your digital transformation objectives. I encourage you to reach out to HPE Financial Services to discuss your IT investment strategy and explore ways that we can help you achieve your desired business outcomes. Included here are a few QR codes where you can learn more or even view a virtual tour of one of our technology renewal centers. Thank you again for joining me in this session. I wish you a great rest of the day, and I hope you keep well, bye.

>>Hello and welcome to this session on experiencing secure agile hybrid cloud for your absent data. My name is Andrew labor. I'm a worldwide business unit product manager, Hc I Solutions with HP and I'm joined by my teammate Jeff Corcoran, who was go to market program Solutions or HP as well. And with that let's just dive right into it. Well, everybody has absent data. They're all over the place. They're both live on your phones, your computers and the cloud and servers are everywhere, absent data are all over the place. Well, what can we really do about that from moving forward modernization of that? Well, we have expectations for personalized, instant and engaging experiences that are the benchmark of your experience, more speed and agility or more paramount than ever. You see a world where apps and data like I mentioned our live and all over the place and that data explosion is happening at the edge where 75 of data is now created in moving us from a data center too many locations and many centers of that data. We have a digital transformation that has reached only a fraction of that. And we have modern cloud experiences for speed and agility and we want to really push that into an on premise reality where data has gravity security formats and compliance that you require. You really want that data transformation that somehow remains elusive for most outside of the public cloud. We want that true private premised on premise cloud infrastructure that translates to your hybrid cloud where you already have your apps and data live in the public cloud. And so as I mentioned, 70 of the public of the apps are outside in the public cloud and we really want that to be able to be brought into the local as well. And the on premise give you more flexibility, more agility and only H P E brings the cloud experience absent data everywhere. We define that right mix for you to move your data to the local and with that we have an approach that's any cloud anywhere and we have the expertise to help you define that right mix of cloud for your enterprise. We also create modern casual platforms for innovation where we bring your non native traditional apps that are slowing you down. We bring that into a modern enabled cloud experience together with cloud data of apps to achieve that speed and agility that I mentioned, being able to create a consistent strategy for you and your infrastructure. We also consume everything as a service everywhere. We bring the modern cloud experience to you and your apps and data self service ease being able to scale up or down depending on usage and flexibility. And we also have to pay for use and all managed for you with HP. Green Lake services the market leading infrastructure as a service platform for well over a decade. We also unify that hybrid cloud estate being able to move operations to a cloud native Cloud ops process manage for you with one unified management platform. Hp Green Lake Central. This helps you manage and unify your applications across cloud native and non cloud native workloads, drive insights and control for operational excellence and we do that by defining the right mix of cloud for you with HPD Point Next services, we're able to assess applications to determine the right mix for your business objectives. Hp Point Next services, we have cloud in technology experts on hand and ready to task for you to assess your existing IT infrastructure strategy, identify trapped capital that you might not even notice is there as well as help you assess your people and teams to identify critical gaps in your cloud journey. Finally, HP Point next services capital experts can determine the right mix of cloud strategy for you. Help you move and migrate your data into that optimized for every workload. And we do that by creating modern agile platform for innovation and we achieve the speed and agility you want report folio of software defined rack optimized HP keep Reliant and H. P. S. Energy infrastructure. Using that compose Herbal cloud compose double infrastructure platform that we support through our intellectual property and through leading partner Cloud solutions and who is that? That's BM wear with cloud foundation. I am a cloud foundation is the perfect blend for HP synergy and HP. Reliant to create that universal hybrid cloud platform, both modern and traditional applications. The Cloud foundation is characterized by many tenants such as develop Already Infrastructure, which creates that automated full stack experience. To help you get ready to do your development through a PS and infrastructure. Universal platforms, a single platform virtual machines and containers as well as application focused management. To simplify your management, being able to have multiple application resources and foundation for that hybrid cloud that I described being able to extend that same software stack to the public cloud. You connect to your flavor of choice for public cloud consume. And together with HB solutions and BMR Cloud Foundation, we create that perfect platform for a consistent hybrid cloud experience from the mid market to the large enterprise customers. We are transforming that traditional I. T. To a virtualized data center. Our goal is to help you move quickly and be agile to digitally transform software defined data center supporting that hybrid infrastructure. Hp envy m where have been working together for years and we are providing a simple experience for hybrid cloud that you can create and deliver to show value instantly and continuously achieve faster innovation, consistent operation and reducing costs. And how do we do that together? Well with HB solutions from being more cloud foundation, we've revolutionized that data centre by building a single consistent hybrid cloud experience that you can see that delivers greater agility and simplicity with five times faster automation tools for building out your infrastructure in getting time to market quicker, invalidating that solution stack. Where we have end to end fully tested and validated solutions that reduce your complexity and allow you to consolidate your VMS and your containers into one environment. Seamlessly, we also integrate management. We have unique the upper management integration and automation through firmer lifecycle management. Vis a vis L C M on the VM ware side, simplify I. T and deliver more agility to your infrastructure as well as your software defined data center. And then we also have services with HB Point Next they accelerate that time to deployment using HP Green Lake and providing as a service experience that we bring that cloud to you. And we bring that with an enhanced ballistic 360° view of security that begins in the manufacturing supply chain of our servers and concludes with safeguarded end of life Decommissioning. We power that by the recently announced Gen 10 plus servers uhh peep Reliant NHP synergy and integrate that Silicon Root of Trust technology offering protection detection and recovery from attacks industry leading encryption and firmware protection. And finally all of that is brought together. Hp one view We take HP one view as the management solution which transforms all of the compute storage networking into one software defined infrastructure Through HP one View we offer a template driven approach for deploying provisioning, updating, integrating compute storage networking All together in one infrastructure. and HP one View uses those software templates single line of code. We can deploy and manage and compose all of your physical resources, require for that application or virtual host or container infrastructure. We deliver the flexibility to compose different tiers of storage as well as types of provisioning by HP One View through direct or attach fabric using cloud foundation and HPV Premera. And now I'd like to ask my coworker Jeff to dive into some customer experiences around the hybrid cloud Jeff. Take it away. >>Thanks. Andrew. I think a great way to follow up and talk about our solutions is to really look at how one of our customers is enabling this transformation. So Wedbush Security is one of the leading financial services firms in the US, providing private and institutional clients, securities brokerage wealth management, in investment banking services. The company is headquartered in los Angeles California and has about 100 offices across the United States to meet increasingly rigorous financial regulations for more resilient operations and mitigate the threat of earthquakes in the Los Angeles area and increase operational efficiencies. Wedbush was looking for transformation is looking for a change to what the way they are currently operating. And to do this, Wedbush partnered with lumen and HP to develop a new private, cloud based data center using bloomin Private cloud on VM ware Cloud foundation. This was located in lumens Dallas hosting center using HP Keep Reliant dl 33 60 jen tens to create a hyper converged, high performance infrastructure using integrated software defined networking and security. To date, Wedbush has migrated its entire production facility to this private cloud. The virtual machines support a range of business applications, including Refinitiv, Thompson, Reuters and if I ask financial systems, they're also hosting Web Bush's in house broker management tool and Microsoft, sequel server and Mongo DB. Now, how did this impact them? They were able to impact Their financial reporting by cutting that from five hours down to 58 minutes. At the same time, they are able to reduce the time that it takes to deploy these Infrastructure resources by 50%. So this allows them to deploy a modern IT infrastructure for performance, reliability and efficiency improvement. The net impact on their business Was that it reduces the analytic costs by 27%. It increases their business agility and it developed, allows them to develop new lines of business faster and increases their compliance for the new Finra financial regulations with HP Green Lake, the cloud that comes to you. Hp Green like brings that cloud experience, self serve paper use scale up and down and manage for you by HP and our partners to absent data everywhere, whether they're in the edges co locations or data centers, enabling you to free up capital most operational and financial flexibility and free up talent to accelerate what's next for you and your business with HP Green Lake customers get cloud services that our production ready, elastic for any scale With a simple experience delivered to customer locations and as little as 14 days. Now, let's take a look at how some of our customers are experiencing the benefit of HP Green Lake as the voice of Austrian business. The Austrian economic chamber delivers advocacy and support to over 500,000 companies and trade groups, thereby helping to foster the country's robust economic growth. However, a policy of fiscal prudence Led to a mandated 30 cost reduction and the chambers it service provider needed to cut costs without compromising service levels. So to do this, they turn to HP to pair a future proof compose herbal infrastructure with a consumption based support model and HP Green Lake. Now, both the internal and regional chambers offices are getting better performance and faster access to I. T. Services enabled them to focus more than ever on boosting critical Austrian economic forces in sectors. Hp is here to help you accelerate your transformation. We just talked about Green Lake. So this enables you to deploy any workload as a service and with HP Green Lake services, you can bring that cloud like speed, agility and as a service model to where your data, data and apps live today, it enables you to transform the way you do business with one experience in one operating model across your distributed clouds for apps and data at the edge in co locations and in data centers with HP Point Next services. They have conducted over 11,000. IT. projects in over 1.4 million customer interactions each and every year. HB Point Next services 15,000 plus experts and its vast ecosystem of solution partners and channel partners are uniquely able to help you at every stage of your digital transformation journey because we address some of the biggest areas of concern that can slow you down. We bring together technology and expertise to help you drive your business forward. Lastly, with HP financial services, flexibility and investment capacity are key considerations for business to drive digital transformation initiatives. In order to forge a path forward, you need access to flexible payment options that allow you to match your IT costs to usage, from helping release capital from existing infrastructures to deferring payments and providing pre owned technology to relieve capital strain. Hp financial services unlocks the value of your entire estate from edge to cloud to end user with multi vendor solutions consistently and sustainably around the world. H P E F s helps you create the financial capacity to transform your business, Y H P E. We have the experience to get you there Over 1000 successful cloud migrations. We have the expertise to help you at any stage to accelerate adoption of any cloud or financial model to help you deploy the like cloud experience for your apps and data. We're open to any cloud strategy with deep expertise across Azure AWS and google cloud. We have unbiased expertise and I p to accelerate your right mix of clouds for your enterprise and we can tie that all together with I. T. As a service from our market leading platform of HP Green Lake. After you viewed this session, we have a lot of resources that you can now use to help you continue your digital transformation and educate yourself. You'll find links here on the slide to a lot of different products and solution areas as well as social media interactions that we have to engage with you. Thank you for joining. We hope you find the sexual useful. Have a great day.

>> Thank you for joining us today for this session entitled, Deploy any Workload as a Service, When General Purpose Technology isn't Enough. This session today will be on our HPE GreenLake platform. And my name is Mark Seamans, and I'm a member of our GreenLake cloud services team. And I'll be kind of leading you through the material today which will include both a slide presentation as well as an interactive demo to get some experience in terms of how the process goes for interacting with your initial experience with our GreenLake system. So, let's go ahead and get started. One of the things that we've noticed over the last decade and I'm sure that you have as well has been the tremendous focus on accelerating business while concurrently trying to increase agility and to reduce costs. And one of the ways a lot of businesses have gone about doing that has been leveraging a cloud based technology set. And in many cases, that's involved moving some of the workloads to the public cloud. And so with that much said, though, while organizations have been able to enjoy that cost control and the agility associated with the public cloud. What we've seen is that the easy to move workloads have been moved but there's a significant amount as much as 70% in many cases of workloads that organizations run which still remain on prem. And there's reasons for that. Some cases it's due to data privacy and security concerns. Other times it's due to latency of really needing high-performance access to data. And the other times, it's really just related to the interconnected nature of systems and that you need to have a whole bunch of systems which form an overall experience and they need to be located close together. So, one of the challenges that we've worked with customers and have actually developed our GreenLake solution to address is this idea of trying to achieve this cloud-like experience for all of your apps and data in a way that leverages the best of the public cloud with also that same type of experience delivered on premise. So as you think about some of the challenges, again, we touched on this that customers are trying to address. One of the ones is this idea of agility, being able to move quickly and to be able to take a set of IT resources that you have and deploy them for different use cases and different models. So, it's one of the things as we built GreenLake, we really had a strong focus on is how do we provide a common foundation, a common framework to deliver that kind of agility. The next one is this term on the top right called scale. And one of the words you may hear is you hear cloud talked about regularly is this notion of what's called elasticity and the ability to have something stretch and get larger kind of on an on demand basis. That's another challenge and premise that we've really tried to work through. And you'll see how we've addressed that. Now, obviously, as you do this, you can achieve scale if you just put a ton of equipment in place much more maybe than you need at any given time but with that comes a lot of costs. And so as you think about wanting to have an agile and flexible system, what you'd also like is something where the costs flexes as your needs grow and it's elastic and that it can get larger and then it can get smaller as needed as well. So, we'll talk about how we do that with our GreenLake solution. And then finally it's complexity, it's trying to abstract away the vision for people of having to be aware of all the complexity it takes to build these systems and provide a single interface, a single experience for people to manage all of their IT assets. So we do that through this solution called HPE GreenLake and really we call it the cloud that comes to you. And as you think about what we're really trying to do here is take the notion of a cloud from being a place where people have thought about the public cloud and turning that to an idea of the cloud being an experience. And so it's regardless of whether it's in the public cloud or running on premise or as is the case with GreenLake, whether it's a mixture of those and maybe even a mixture of multiple public clouds with on-prem experience, the cloud now becomes something you experience and that you leverage as opposed to a place where you have an account and that can include edge computing combined with co-location or data center based computing. It could include equipment stored in your own data center and certainly it can include resources in the public cloud. So, let's take a look at how we go about delivering the experience and what some of those benefits are as we put these solutions in place. So, as you think about why you'd want to do this and the benefits you get from GreenLake, what we've seen in terms of both working with customers and actually having studies done with analysts is the benefits are numerous, but they come in areas that are shown here, one time to deployment. And that once you get this flexible and easily to manage environment in place with what we'll show you are these prebuilt, pre-configured and managed as a service solutions, your time to deployment for putting new workloads in place can shrink dramatically. The next in terms of having these pre-configured solutions and combining both the hardware and software technology with a set of managed services through our GreenLake managed services team, what you can do is dramatically reduce the risk of putting a new workload in place. So for example, if you wanted to deploy virtual desktop infrastructure and maybe you haven't done that in the past, you can leverage a GreenLake VDI solution along with GreenLake management services to very predictably and very reliably put that solution in place. So you're up and running focusing on the needs of your users with incredibly lowered risk, because this was built on a pre-validated and a pre-certified foundation. Obviously, I talked earlier about the idea with GreenLake is that you have flexibility in terms of scaling up your use of the resources, even though they're computers that may be in your data center or a colo, and also scaling them back down. So if you have workloads over time, that may be even an end of month cycle or an end to quarter cycle where certain workloads get larger and then would get smaller again, the ability with GreenLake on a consumption billing basis is there where your costs can flow as your use of the systems flow. And again, I'll show you a screen in just a few minutes, that kind of illustrates what that looks like. And then the last piece is the single pane of glass for control and insight into what's going on. And what we mean by that is not just what's going on from a cost perspective, but also what's going on from a system utilization perspective. You'll see in one of the screens I'll show that there's a system utilization report of all of your GreenLake resources that you can view at any time. And so what you can get visibility to, for example, with storage capacity as your storage capacity is being consumed over time as you generate more data, the system will tell you, hey, you're getting up to about 60, 70% utilized. And then at that point, we would be able to work with you to automatically deploy even though you won't be paying for it yet, additional storage capacity so it's ready as your needs grow to encompass that. So in terms of what are some of these services that we deliver as part of GreenLake? Well, they range and you see here a portfolio of services that we offer. If you start at the bottom, it's simple things, right? Things like compute as a service, and I'll show you examples of that today, networking as a service, hyper-converged infrastructure as a service. And then if we work our way up the stack, we move from kind of basic services to platform services, things like VMware and containers as a service. And then if we go to the top layer of this, we actually can offer complete solutions for targeted workloads. So if your need was for example, to run machine learning and AI, and you wanted to have a complete environment put in place that you could leverage for machine learning and AI and use it and consume it on a consumption as a service basis, we've got our MLOps solution that delivers that. And similarly, I mentioned earlier, VDI for virtual desktops or a solution for SAP HANA. So, the solutions range from very basic compute at the foundation all the way up to complete workload solutions that you can achieve. And the portfolio of what these are is expanding all the time. And as you'll see, you can go out to our hpe.com site and see a complete catalog of all the GreenLake services that are available. So let's take a minute and let's drill in like on that MLOps solution. And we can take a look at how that fits together and what makes that up. So, if you think about GreenLake for MLOps, it's a fast path for data scientists, and it's really oriented around the needs of data scientists within your organization who have a desire to be able to get in and start to analyze data for advantage in your business. So, what comes with an MLOps solution from GreenLake starts at the left side of the slide here with a fully curated hardware platform, including GPU based nodes, data science, optimized hardware, all the storage that you're going to need to run at scale and that performance to make these workloads work. And so that's one piece of it is a curated hardware stack for machine learning. Next in the software component, we pre-validated a whole bunch of the common stack elements that you would need. So beyond operating systems, but things for doing continuous integration, for things like TensorFlow and Jupyter notebooks are already pre-validated and delivered with this solution. So, the tools that your data scientists will need come with this, ready to go, out of the box. And then finally, as this solution gets delivered, there's a services component to it beyond just us installing this full thing and delivering a complete solution to you. But the GreenLake management services options where our services teams can work side by side with data scientists to assist them in getting up to speed on the solution, to leveraging the tools, to understanding best practices if you want those, if you want that assistance for deploying MLOps and the whole thing's delivered as a service. As similar, we similar solutions for other workloads like SAP HANA that would leverage again, different compute building blocks, but always in a way that's done for workload optimized solutions, best practice and that build up that stack. And so your experience in consuming this is always consistent, but what's running under the hood isn't just a generic solution that you might see in for example, a public cloud environment, it's a best practice, hardware optimized, software optimized environment built for each one of the workloads that we can deploy. So I like to do at this point is actually show you what's the process like for actually specifying a GreenLake solution. And maybe we'll take a look at compute as our example today. So, what I've got here is a browser experience, I'm just in my web browser, I'm on the hpe.com website and what I'd like to do. I mean the GreenLake section and I've actually clicked on this services menu and I'm going to go ahead and scroll down. And one of the things you can see here is that catalog of GreenLake services that I referenced. So, just like we showed you on the slide, this is that catalog of services that you can consume. I'm going to go to compute and we'll go about quoting a GreenLake compute solution. So we see when I clicked on that, one of the options I have is to get a price in my inbox. And I'll click on that to go in here to our GreenLake quick quote environment where if in my case here for our demonstration, I'll specify that I'd like to purchase to add to my GreenLake environment some additional general compute capability for some workloads that I might like to run. If I click on this, I go in and you notice here that I'm not going to specify server types. I'm really going to tell the system about the types of workloads that I'd like to run and the characteristics of those workloads. So for example, my workload choices would be adaptable performance or maybe densely optimized compute for highly scalable and high performance computing requirements. So, I'll select adaptable performance. I have a choice of processor types, my case, I'll pick Intel. And I then say, how many servers for the workloads that I want to run would be part of the solution. Again, in my case, maybe we'll quote a 20 server configuration. Now, as we think about the plans here, what you can see is we're really looking at the different options in terms of a balanced performance and price option which is the recommended option. But if I knew that the workloads I were going to run were more performance optimized, I could simply click on that option. And in the system under the hood does all the work to reconfigure the system. I'm not having to pick individual server options as you see. So once I picked between cost optimized balance or performance, I can go in here and select the rest of the options. Now, we'll start at the top right and you see here from a services perspective, this is where it specifies how much services content and in services assistance I'd like all the way from just doing proactive metering of my solution all the way through being able to do actual workload deployment and assistance with me physically managing the equipment myself. The other piece I'll focus on is this variable usage. And this comes back to how much of the variable time, variable capacity of additional capacity, what I like to have available in my data center for this solution. So if I know that my flex could be larger in the future of the capacity, I want to flex up and down. I might pick a slightly larger amount of flex capacity at my location as part of this solution. With that, I'd select that workload. And the less steps would be, I could click on get price and this whole thing will be packaged up and shipped to you in terms of the price of the solution. And any other details that you might like to see. And I encourage you to go out to hpe.com and to go through this process yourself for one of the workloads that might be of interest for you to get a flavor of that experience. So if we move forward, once you've deployed your GreenLake solution, one of the things you see here is that single pane of glass experience in terms of managing the system, right? We've got a single panel that all in one place provides you access to your cost information for billing, and what's driving that billing, your middle and the middle of the top center, you can see we've got information on the capacity planning but then we can actually drill in and actually look at additional things like services we offer around continuous compliance, capacity planning data for you to build and see how things like storage or filling, cost control information with recommendations around how you could reduce or minimize your costs based on the usage profile that you have. So, all of this is a fully integrated experience that can span components running both on-premise and also incorporating services that could be in the public cloud. Now, when we think about who's using this and why is this becoming attractive? You can imagine just looking at this capability that this ability to blend public cloud capabilities with on-premise or in a co-location, private data center capabilities provides tremendous power and provides tremendous flexibility for users. And so we're seeing this adopted broadly as kind of a new way, people are looking to take the advantages of cloud, but bring them into a much more self-managed or on-premise experience. And so some example, customers here include deployments in the automotive field, both at Porsche or over on the right at Zenseact, which is the autonomous driving division of Volvo where they're doing research with tremendous amounts of data to produce the best possible autonomous driving experience. And then in the center, Danfoss who is one of the world's leading manufacturers of both electric and hydraulic control components. And so as they produce components themselves, that drive an optimized management of physical infrastructure, power, liquids and cooling, they're leveraging GreenLake for the same type of control and best practice deployment of their data centers and of their IT infrastructure. So again, somebody who's innovating in their own world taking advantage of compute innovations to get the benefits of the cloud and the flexibility of a cloud-like environment but running within their own premise. And it's not just those three customers clearly. I mean, what we're seeing is, as you see on the slide, it's a unique solution in the market today. It provides the true benefits of the cloud, but with your own on-premise experience, it provides expertise in terms of services to help you take best advantage of it. And if you look at the adoption by customers, over a thousand customers in 50 countries have now deployed GreenLake based solutions as the foundation on which they're building their next generation IT architecture. So, there's a lot of unique capabilities that as we built GreenLake, that we have that really make this a single pane of glass and a very, very unified and elegant experience. So as we kind of wrap up, there's three things I want to call your attention to, one, GreenLake, which we focused a lot on today. I'd also like to call your attention to the point next services, which are an extension of those GreenLake services that I talked about earlier but there's a much broader portfolio of what Pointnext can do in delivering value for your organization. And then again, HPE financial services who much like what we do with GreenLake in this as a service consumption environment can provide a lot of financial flexibility in other models and other use cases. So, I'd encourage you to take time to learn about each of those three areas. And then there's obviously many many resources available online. And again, there's some that are listed here but it kind of as a single point takeaway from this slide, I encourage you to go to hpe.com. If you're interested in GreenLake, click on our GreenLake icon and you can take yourself through that quoting experience for what would be interesting and certainly as well for our compute solutions, there's a tremendous amount of information about the leading solutions that HPE brings to market. So with that, I hope that's been an informative set of experience. I'm thanking you for spending a little bit of time with us today and hopefully you'll take some time to learn more about GreenLake and how it might be a benefit for you within your organization. Thanks again.

>>Good morning. Good, absolute and good evening to all >>those who are listening to this presentation. >>I am rather to Saxena and I manage the platform >>solutions and the thought body operating systems team in the compute workload and solutions group within HP compute >>today I'm >>going to discuss about containers >>and what containers >>do for you >>as a customer >>and why >>should you consider h PE container solutions >>for transforming your business? >>Let's talk about how some of >>the trends seen >>in the industry are impacting the >>customer's day >>in and >>day out and what is it that >>they really need >>cloud services >>and continue your ization, increase operational flexibility, agility and >>speed. >>But non native >>apps seem >>to be a serious issue. >>These legacy apps >>and architecture slow the >>development team, >>making it much harder to meet competitive demand >>and cost pressures. It administrators are >>looking for a way to quickly deploy and manage the resources there. Developers need. >>They want to release more >>updates more quickly. Digital transformation has really shifted >>its focus >>from operations. Two applications, it's all >>about gaining the agility to deploy code faster >>developers want the >>flexibility to choose from a variety of >>Os or containerized ab stacks and to have fast access >>to the resources >>they need. And Ceos >>and line >>of business owners need visibility >>into cost >>and usage so they can optimize their >>spend and drive >>higher utilization of >>their resources. >>So let's define what >>is container technology. >>Container >>technology is a method used to package >>an application >>and software. >>It is a game changer. >>Let's take a closer look at at a couple of >>examples within each area. In the area of cost savings, we achieve savings by reducing the virtualized footprint and by reducing administrative overhead >>through the introduction >>of CIA >>CD pipelines. >>In terms of agility, >>this helps you become more a child by enabling >>your workload portability. It also >>shortens development >>life cycle while increasing the frequency >>of application updates. Within innovation, container platform technologies >>provides >>centralized >>images and source code >>through standard >>repositories, decoupling of application dependencies >>and use of templates >>leading to enhancing >>collaboration. This kick starts your innovation >>container technology would bring >>these benefits to enterprise it and accelerate the transformation of business. >>H. P. E has the proven >>architecture and expertise for the introduction >>of container technology. >>Apps and >>data are no longer centralized in >>the data center. >>They live >>everywhere at the edge, >>in Carlos, >>in the cloud and >>in the data center. This creates >>enormous complexity for application operability >>performance >>and security >>customers are looking >>for a way >>to simplify >>speed and scale their apps and that's driving a rise in container adoption. >>Managing these >>distributed environments requires different skill sets, >>tools and processes >>to manage both >>traditional and cloud environments. >>It is complex >>and time consuming >>all of these workloads are also very >>data dependent Ai >>data analytics and that modernization are the key entry points for >>HB >>Admiral to >>intercept the transformation budget. >>A study from I. T. >>C. Found that >>More than 50 of enterprises are leveraging containers >>to modernize legacy applications >>as is >>without re architect in them. >>These containers are often then deployed >>in on premise cloud environments using kubernetes and Docker. Re implementing legacy applications >>as >>cloud native microservices >>has proven >>more difficult >>than expected, >>held back by the scarcity of the experienced Microsoft >>talent to do that work. >>As a result, only half >>of the new containers deployed leverage microservices >>for cloud native apps. one key element of the >>HB approach is to reduce the effort >>required to >>continue to rise these existing applications. >>One platform for non cloud native and cloud >>native apps >>is the H P E. S. Moral >>container platform. >>Hp Green Lake brings the >>true cloud >>experience to your cloud >>native and non cloud native apps without >>costly. Re factoring with cloud services for containers through Hve Green Lake >>continue rising. >>Non cloud native apps, >>improves >>efficiency, >>increases agility >>and provides >>application affordability. >>Simple applications can take about three months >>while complex once >>up to a year to re factor >>with cloud services for >>containers through HP Green Lake >>customers can save this time and get the benefits >>With 100 open source kubernetes right away with HP >>Asmal >>container platform, non cloud native state fel. Enterprise apps can be deployed in containers without >>costly re factoring >>enabling customers to bring speed and agility >>to non cloud native apps >>with ease. Hp Green Lake is a >>single platform for war clothes and helps customers avoid the cost of moving data and apps and run walk clothes >>securely from the edge >>call occasions >>and data centers >>while meeting the needs for the agency, >>data sovereignty >>and >>regulatory compliance >>with unique type. The >>HBs milk container platform >>provides a container management control plane >>with the fully integrated >>Hve Admiral data fabric. >>The HBs real container platform >>integrates a high performance distributed >>file, an >>object storage. >>These turnkey >>pre configured >>cloud connected >>solutions >>are delivered in >>As little as 14 days and managed for you by HP. E and our partners so >>customers do not need to skill up on kubernetes. >>The key differentiators >>for H. >>B. S. Merrill are providing a complete >>solution that addresses >>a broad set of applications and a consistent multi cloud deployment and management platform. It solves the data integrity >>and application recovery issues >>central >>to business critical >>on >>premise applications. >>It maintains the commitment to open source to ensure customers >>can take >>advantages of future developments >>with these distributions. >>It reduces >>development effort and moves application development >>to self service. >>Now let us look at >>some customer success stories with HBs Merrill. Here is a >>customer who modernize >>their existing legacy applications. >>There were a lot of blind >>spots in the system and the >>utilization >>Was just about 10%. By transitioning to containers, they >>were able to get >>50 >>eight times faster in just performance, reducing a significant >>portion of the cost of >>the customers deployment, significant >>reduction in infrastructure >>footprint resulting >>in lower TCO >>and with HB Green Lake, they received cloud agility >>at a fraction >>of the cost of the alternatives. This customer is expanding its efforts into machine >>learning and >>analytics technologies >>for decision support in areas >>of ingesting and processing large data sets. >>They are enabling data science >>and >>such based applications >>on large >>and low late in data sets using a combination of >>patch >>and streaming transformation processes. >>These data sets support both offline and in line machine learning, deep learning training >>and model execution >>to deploy these >>environments at >>scale and >>move from >>experimentation >>to >>production. They need to connect the dots between their devops teams and the data science teams >>walking on machine learning >>and analytics from an inch for such a standpoint. They're using containers >>and kubernetes >>to drive greater agility >>and flexibility as well as cost savings and efficiency >>as they are >>operationalized. >>These machine >>learning deep learning >>and analytic initiatives. >>This includes >>automated configuration of software stacks and the deployment of data pipeline bills >>in containers. >>The developers >>selected kubernetes >>as the container >>orchestration engine for the enterprise >>and is using H >>P E S, real container >>platform >>for their machine learning >>deep learning and analytic war clothes. This customer had a growing demand for >>data scientists >>and their goals >>were >>to gain continuous insights into existing and new customers >>and develop innovative products >>and get them to >>market faster amongst others. >>The greater >>infrastructure utilization >>on premises resulted in >>significant cost savings Around $6 million three years >>and significantly improved environment >>provisioning time >>From 9 to 18 months to just about 30 minutes. And along those lines, >>there are many >>more examples >>of customer success stories across various industries >>that proved >>transitioning >>to the HP. Es. >>Moral container >>solutions can be >>a total game changer by the way. HB also >>provides container solutions on with various software vendors. >>This customer >>was eager to >>embrace a giant abb development techniques >>that would allow them >>to become more a child >>scalable >>and affordable, helping to deliver >>an exceptional customer service >>and avoid vendor lock in HB. partnered with >>them to deploy >>red hat, open shift running on HP hardware, >>which became a new container >>based devoPS >>platform, effectively >>running on bare metal for >>minimal resource >>overheads and maximum performance. >>The customer now had a platform >>that was capable of supporting >>their virtualization and continue realization ambitions. >>Now let us see how HB Green Lake can help >>you reduce costs, >>risk and time you get speed, time >>to value >>with >>pre integrated hardware, >>software and services the HP ES moral platform to >>design and build >>container based >>services and cell service, catalog and marketplace for rapid >>provisioning >>of these services, >>you get lower risk to the business >>with >>fully managed by contained by HP >>container experts. >>Proactive resolution >>of incidents, >>active capacity management to scale with demand, you can reduce costs >>by avoiding >>upfront capital expense >>and over >>provisioning with pay per use model >>intuitive dashboard for >>cluster costs and storage. >>HB also has a huge >>differentiator when it >>comes to security. >>The HBs. Silicon Root >>of Trust >>secures your >>data at the microcode level >>inside the processor itself, ensuring >>that your digital assets >>remain protected and secure >>with your continued authorization strategy >>built on the world's >>most >>secure industry standard servers, >>you'll be able to >>fully concentrate your resources on your modernization efforts. >>Additionally, >>you can enjoy >>benefits such as HP >>form where threat detection >>along with the with other best in class >>innovations from H B such as malware detection >>and Form where recovery. Your HP servers >>are protected >>from >>silicon to >>software >>and at every touch >>point in between >>preventing bad >>actors from gaining access to containers or infrastructure. >>H B E can help accelerate >>your transformation >>using >>three pillars. >>Hp Green Lake, >>you can deploy >>any workload as a service >>with >>HP Green Lake Services, >>you can now bring >>cloud >>speed >>agility and as a >>service model >>to wear your >>apps and data are today transform the >>way you do business >>with one experience >>And one operating model >>across your distributed clouds >>for apps >>and data >>at the edge in coal occasions >>and in your data center. HB point Next services >>with over >>11,000 >>I'd projects conducted >>And 1.4 million >>customer interactions each year. >>HB point X Services, >>15,000 plus experts and its vast >>ecosystem of solution >>partners and channel partners >>are uniquely able to help you at every stage >>of your digital transformation because we address >>some of the biggest >>areas that can slow you down. >>We bring together technology >>and expertise >>to help you drive >>your business forward >>and last but not the least. >>Hp Financial services, >>flexible investment >>capacity are key >>considerations >>for businesses >>to drive digital transformation initiatives >>in order to forge a path forward. You need >>access two flexible >>payment options >>that allow you to match icty costs >>to usage. >>From helping release >>capital from existing infrastructure, two different payments >>and providing >>pre owned tech >>to relieve capacities. Train >>HP Financial >>services unlocks the value of the customer's entire >>estate from >>edge >>to cloud >>to end user >>with multi vendor >>solutions consistently and sustainably >>around the world. HB Fs >>makes I'd >>investment >>force multiplier, >>not a stumbling block. >>H B S. Moral >>and HB compute are the >>ideal choice >>for your container Ization strategy, >>combining familiar silver hardware >>with a container platform that has been >>optimized for the environment. >>This combination is >>particularly cost effective, >>allowing you to capitalize on existing hardware skills >>as you focus >>on developing innovative >>containerized solutions. >>H beef Admiral >>fits your existing infrastructure and provides potential to scale as required. >>And with that, >>I conclude this session and I hope >>you found this valuable. There are many resources available at hp dot >>com that you can use >>to your benefit. Thank you once again.

>> Good morning, good afternoon and good evening. I'm Jeff Corcoran, Worldwide Go To Market Program Manager for the Compute Business Group. And I'm here today to talk to you about enabling and empowering your remote workforce with virtual desktop infrastructure or VDI. The pandemic has changed the way everyone works. And we're unlikely to go back to the way things were before 2020. The entire world has seen a dramatic fore shift to remote working. As you can see on the graphic here, 75% of CEOs say the pandemic has changed and accelerated this transformation. This brings with it a whole host of challenges. There are technical challenges like security and connectivity but there are also important challenges like culture and productivity to be concerned with. Gartner found that around half of employers now see remote work as a go forward motion for them which is opposed to less than a third before the pandemic. Of course there's work that you just can't do remotely. There the question is, how do you ensure maximum employee safety for work that needs to be physically co-located? 60% of CEOs say that their top concern is keeping employees safe and productive. It's becoming quite clear that the future is one of hybrid. It means that you have the flexibility to get work done regardless of your physical location. Because it's better for business continuity, better for employee productivity and better for long-term effectiveness. And employers are demanding it. Gartner reports that around 80% of employees want to work remotely, at least some of the time as opposed to those that want to work remotely all the time which is around 56%. This is because employees report the flexibility to work from home. It's a boost to retention, productivity and work-life balance. It's no coincidence that a JP Morgan CIO Survey found that the single biggest tech spending shift has been for technologies that enable remote working. This is seeing a 15% increase while other technologies in the rest of the market is flat to declining. When we talk about remote and hybrid work, one of the key enabling technologies is VDI. VDI is a client desktop virtualization workload. That's a subset of the more expansive spectrum of end user computing or EUC for short. These are technologies that allow users to access corporate applications and data regardless of where they are. Within this EUC spectrum, there are server-based computing which is sometimes known as application virtualization. These are for users with less complex computing needs. And then you've got the aforementioned VDI which is for task or productivity users. And then we have physical hosted desktops which is for the most demanding end-users. To understand why VDI has become so popular, we need to understand the benefits that it can provide. So you've got ease of access. And again we're talking about remote work, work from home. This is a way of life. So the VDI has the ability to provide that ease of access. Flexibility, so organizations have vastly different needs predicated on their users and their computing needs. So VDI enables organizations to provision right size solutions for their workforce. Less administrative overhead, you can now manage devices in the desktop to updates from a centralized location for VDI which is a tremendous boost. Resource consolidation, for those deployments where the users don't require full capacity all the time, you can see tremendous consolidation ratios. Data security and sovereignty, this is probably the number one reason why people go with VDI. You safely keep your data where it belongs in the data center where you have the ability to build a secure perimeter around it. So in this scenario with VDI, users are accessing the data. It's not on their laptop, it's in the data center. And now what happens is when they access it, the data itself doesn't come across the line. It's just the pixels of what that data represents so that it paints it on their screen. So if somebody were to intercept that stream they wouldn't get the data itself but just the pixels so security is greatly enhanced. And this is also closely predicated to performance. Applications reside close to the data, in the data center. So they're able to operate at data center speed, so think about 10 gigabyte or higher speeds. And so for those engineering workloads, for example that have maybe large models and they have lowered huge dataset with many different parts because this is operating at wire speed in the data center it happens very quickly. And this is a boon to productivity. It's a great way to realize the benefit of VDI. The process of developing your HPE VDI solution starts with identifying the types of users you have and understanding the applications that they use to perform their duties. That way we can size the VDI deployment correctly. If they provide or perform more simple office tasks or just a single function positions, these are what we might call task workers. So they use limited office, Microsoft Office, you know, they're maybe some word processing. But think about customer service, telesales, data entry, healthcare, telemedicine is a good one here. Perhaps they need more performance and they're oriented towards analysis or content creation. These are what we call knowledge workers. And this is probably most of you in the audience. Think about heavy office 365 usage teams and zoom for collaboration, web based SaaS apps. This is office workers, sales and operations, marketing, finance legal. And then lastly for those users that are really dependent on a heavy graphical usage, think about MRIs scans for healthcare, maybe complex graphs for investment bankers, maybe simulations or modeling and engineering, these are power users. So again, you know, CAD engineering design simulation, financial traders, geo-physical analysis for the energy industry, software developers and the media and entertain industry. These are great places for power users. Whatever the right mix is for your organization, we ensure that the solution provides each and every type of worker, the performance they need to perform the tasks they need to have success. Netherlands Cancer Institute is one of the foremost cancer research centers in the world. They were looking to improve IT agility and performance to support demanding research projects and dynamic clinical services. And to do this, we worked with them and deployed HPE ProLiant DL380 Gen10 with VMware Horizon for their VDI infrastructure. And what this did was supported during the day up to 2000 VDI users. And at night, the usage went down to 400 to 600 users and the flexible design of the solution allowed them to take advantage of this infrastructure. And they could allocate capacity at night to some batch jobs that were running to improve image sharpness of imagery that's used to aid in the early research of cancer disease. And what used to take one hour to work on an image, took 10 minutes now in this new environment. So they are able to increase the agility to run diverse clinical and research workloads. They (indistinct) their IT infrastructure to handle consistently and constantly evolving business needs. And it also freed clinicians to focus more time on patient care which is really what they wanted to do. And the quote here says that by spending less time working with technology, the clinicians were able to spend more time focusing on the patients which is what they, you know, what's the most important part of this equation. With the introduction of HPE ProLiant Gen10 Plus, we see a tremendous opportunity to help our customers drive better outcomes. For VDI that means we can leverage the innovation that the 3rd Generation AMD EPYC Processor provides. Improved clock speeds and increased instructions per clock will greatly benefit VDI workloads as well increased memory, so up to four terabytes per CPU. Storage and networking are no longer going to bottlenecks either as there's 128 PCIe Gen4 lanes to support this increased IO. This is twice the bandwidth that was available with Gen3. So with this increased performance envelopes for several sub-systems, we're able to build higher performing VDI solutions that'll help our customers drive the outcomes needed to move their business forward. When we leverage HPE GreenLake for VDI, it brings the simplicity of the cloud experience to VDI. The ability to scale capacity and costs up and down is a key benefit of cloud. But most VDI implementations need to meet certain standards of security, compliance and performance that cannot readily be met with pure public cloud solutions. HPE GreenLake for VDI brings that cloud-like economics and agility together with the performance compliance and control that you expect from your on premises IT. And because it is managed for you and build, use monthly, you can focus your IT teams on other critical aspects of delivering outcomes that help you drive your business forward. We just talked about GreenLake which is a great way for us to help you accelerate your transformation. You can deploy any workload as a service with GreenLake services. You can now bring that cloud speed agility and an as a service model to where your apps and data are today. You can transform the way you do business with one experience and one operating model across your distributed clouds for depths and data at the edge in co-locations and in your data center. With over 11,000 IT projects conducted and 1.4 million customer interactions each and every year, HPE Pointnext 15,000 experts in its vast ecosystem of solution partners and channel partners are uniquely able to help you at every stage of your digital transformation. Because we address some of the biggest areas that can slow you down. We bring together technology and expertise to help you deliver your most strategic outcomes. Flexible investment capacity is a key consideration for businesses to drive digital transformation initiatives. In order to forge a path forward, you need access to flexible payment terms that allow you to match your IT costs to usage. You need help releasing capital from existing infrastructures to deferring payments and providing pre-owned technology to relieve capacity strain. HPE Financial Services or HPE FS, unlocks the value of your entire IT estate from edge to cloud to end user with multi-vendor solutions consistently and sustainably around the world. HPE FS helps you create the financial capacity to transform your work business. There is a lot of other resources that are available to help you learn about the VDI solutions that we have available to help you. So there's a few links on the screen that talk about some of our VDI solutions, our product portfolio. And there's also some social media engagements that we can do on LinkedIn, Twitter or Facebook. I'd like to thank you for taking some time out of your day to attend this session. Have a great rest of your day.

>> Narrator: Live from Las Vegas, Nevada, it's theCUBE covering Accelerate 2017 brought to you by Fortinett. Now, here are your hosts, Lisa Martin and Peter Burris. >> Hi, welcome back to theCUBE. We are SiliconANGLE's flagship program where we go out to the events and extract the signal from the noise. Today, we are with Fortinet at their 2017 Accelerate event in Las Vegas. I'm your host, Lisa Martin, and I'm joined by my cohost, Peter Burris. We are fortunate right now to be joined by George Moore. George is the technology, excuse me, the CSO for Microsoft Azure who is a big technology alliance partner for Fortinet. George, welcome to theCUBE. >> Nice to have you, thank you. >> We are excited to have you on. You are, as you mentioned, the CSO at Azure, but you are the CSO for all of the Azure computer services. You are one of the founders of the Azure engineering team from back in 2006, and we were talking off-line. You hold over 40 patents in things like security deployment, interactive design, et cetera. You are a busy guy. >> I am, yes. (laughing) >> One of the things we have been talking about with our guests on the show today, and a great topic that was in the general session was about the value of data, and how do businesses transform to digital businesses. The value in that data has to be critical. I'd love to get your take on as businesses have to leverage that data to become more successful or to become successful as digital businesses, we know the security of the perimeter is not the only thing. It needs to be with the data. What is Azure doing to secure the cloud for your customers, and how do you help them mitigate or deal with the proliferation of mobile devices and IOT devices that they have that are connecting to their networks? >> Digital disruption is affecting everybody, and it is a huge thing that many companies are struggling to understand and to adopt to their business models, and to really leverage what digital can do for them, and certainly we are doing in the public cloud with Azure helps that significantly. As you mentioned, there is just a proliferation of devices, a proliferation of data, so how do you have defense in depth so you don't have perimeter-based security, but you actually have defense in depth at every level, and at its heart, it really falls down to how do you do encryption at rest, how do you secure the data encrypted? Who holds the keys for the data? What is the proliferation of the keys? How did the controls manage for that? Of course, of the data is encrypted, you really want to be able to do things upon it. You want to be able computer over it. You want to be able to queries, analytics, everything, so there's the question of how to securely exchange the keys? How do you make sure that the right virtual machines are running, the right computers running at the time to do the queries? That's the set of controls and security models and services that we provide in Azure that makes it super easy for customers to actually use that. >> Azure represent what's called the second big transformation for Microsoft where the first one might have been associated with Explorer, those amazing things that Microsoft did to transform itself in the 1990s and it seems to be going pretty well. How is security facilitating this transformation from a customer value proposition? >> Security is absolutely the number one question that every customer has whenever they start talking about the cloud, and so we take that very, very seriously. Microsoft spends over billion dollars a year on all of our security products all up. We have literally armies of people who do nothing every day but wake up and make sure that the product is secure, and that really boils down to two big pieces. One is how do we keep the platform secure from the security control that we have ourselves in the compliance ADA stations and everything to make sure that when customers bring their workloads to us, they are in fact kept secure. Second is a set of security controls that we provide the customers so they can actually secure their workloads, integrate their security models with whatever they're running on premise, and have the right security models, ADA stations, multifactor authentication, identity controls, et cetera for their own workloads. >> Security is very context specific. I'm not necessarily getting into a conversation about industry or whatnot, but in terms of the classifications of services that need to be provided, we were talking a little bit about how some of the services that you provide end being part of the architecture for other services within the Azure cloud. Talk a little bit about how you envision security over time evolving as a way of thinking about how different elements of the cloud are going to be integrated and come together in the role that security is going to play in making that possible and easy. >> You are absolutely right. Azure is composed of, right now, 80 some-odd different services and there's definitely a layering where for example, my components around the compute pieces are used by the higher order of services around HD insight and some of the analytic services and such, and so the security models we have in place internally for compute in turn are used by those higher order services, and the real value we can provide is having a common customer-facing security model for customers, so there is a common way by which they can access the control plane, do management operations upon these services, how they can access the endpoints of the services using a common identity model, a common security model, role-based access control, again, from a common perspective, logging, auditing, reporting, so all this has to be cohesive, correct, and unified so that customers aren't facing this tumultuous array of different services that speak different languages, so to speak. >> We are here at Fortinet Accelerate 2017. Tell us how long Microsoft Azure and Fortinet have been working together, and what are you most excited about with some of the announcements from Fortinet today? >> Microsoft and Fortinet partnership has been going on for quite some time. Specifically in Azure space we've been doing two different, two major thrusts around integration with the Azure Security Center which is a set of services that we have within Azure that provides turnkey access to many, many different vendors including Fortinet as one of our primary partners, and Fortinet also has all their products in Azure marketplace so that customers can readily in a turnkey manner use Fortinet next generation firewalls and such as virtual machines, incorporate those directly within their workloads, and have a very seamless billing model, a very seamless partnership model, a very seamless go-to-market strategy for how we jointly promote, jointly provide the services. >> One of the things that one of our guests was talking with us about today was really about it's an easy sell, if you will, at the C-level to sell the value of investing in the right infrastructure to secure environments. Looking at that in correlation to the fact that there's always historically been a challenge or concerned with security when it comes to enterprises moving workloads to the cloud, I'm curious about this easy-sell position that cyber security and the rise of attacks brings to seeing the adoption of more enterprise workloads. We are seeing numbers that are going to show, or predicting that north of 85% of enterprise workloads will be in the cloud by 2020. How much is Microsoft Azure seeing the fact that cyber security attacks are becoming more and more common, hitting some pretty big targets, affecting a lot of big names. How much are using that as an impetus to and maybe drive that adoption higher and higher from an enterprise perspective? >> Absolutely, I see that everyday. I give many, many talks to the C-level, to CSOs, CEOs, et cetera, and I can say in many industries like the banking industry, financial sector, 18 months ago banks did not have any interest in public cloud. Is just like, "Thank you, we have no interest in cloud," but recently there has been the dawning realization that Azure and the public cloud products are in fact, in many cases, more secure than what the banks and other financial industry sectors can actually provide themselves because we are providing huge amounts of investments from an ongoing basis that we can actually provide better security, better integrated security than what they can afford on premise, so as a result, we are seeing this now, literally, stampede of customers coming to us and saying, "Okay, I get it. "You can actually have a very, very "highly secure environment. "You can provide security controls "that can go well above and beyond "whatever I could do on premise, "and it's better integrated "than what I could ever pull together on premise." >> One of the reasons for that is because of the challenge of finding talent, and you guys can find a really talented person, bring them in, and that person can build security architectures for your cloud that then can be served, can be used by a lot of different customers, so what will be the role of or how will this need for talent in the future, what would be the role for how people engage your people, client's people engage your people to ensure that that people side and moves forward, and how do you keep scaling that is you scale the cloud? >> Certainly people are always the bottleneck in virtually every industry, and specifically within the computing space. The value that we are seeing from customers is that the people that they had previously on premise who were working to secure the base level common infrastructure are now freed because they don't have to do that work. They can do other interesting things at the application level and move their value added further up the stack which means I can innovate more rapidly, they can add more features more quickly, because they are not having to worry about the lower-level infrastructure pieces that are secured by Azure, so we are seeing the dawning realization that we are moving to this new golden age where there is higher degree of agility with respect to innovation happening at the application level, because remember, applications have to be, if you are having a compliant workload, if you are having PCI compliance within the credit card industry for example, you have to have the entire application and its infrastructure part of the compliance boundary, so that means when you are building that app, you have to give your auditors the complete stack for them to pass that. If you are only having to worry about this much as opposed to that much, then the amount of work that you can do, the amount of integration, the amount agility, the amount of innovation you can do at that level is many orders of magnitude higher, so you really see that the value that a lot of customers are having here is that their talented people can be put to use on more important higher order business-related problems as opposed to lower-level infrastructure level issues. >> Let's talk about that for second because one of the things that we see within our research is that the era of cloud as renting virtual machines is starting to transition as people start renting applications, or applications as services that they themselves can start putting together. Partly the reason why that's exciting is because it will liberate more developers. It brings more developers into the process of creating value in the cloud, but as they do that, they now have visibility, or they are going to be doing things that touch an enormous set of resources, so how do you make security easier to developers in Azure? >> The key is that we can do high degrees of integration at the low level between these very services. >> Peter: It goes back to that issue of a cascading of your stuff up into the other Azure services. >> Absolutely, I mean think about it, we sat on top a mountain of information. We have analytics and log files that know about virtually everything that's happening in the cloud, and we can have machine learning, we can have intelligence, we can have machine intelligence and such, that can extract signals from noise that would otherwise be impossible to discover from a single customer's perspective. If you have a low and slow attack by some sort of persistent individual, the fact that they are trying the slow and low attack means that we are able to pull that signal out and extract that information that would not be really physically possible, or economically possible for most companies to do on premise. >> Does this get embedded to some of the toolkits that we are going to use to build these next-generation cloud-based apps? >> It gets embedded into the toolkits, but it also gets embedded at the set of services like the Azure Security Center. A single pane of glass that's integrated with the products from Fortinet and others where the customer can go and have a single view across all their work was running within Azure and get comprehensive alerts and understanding about the analytics that we are able to pull out and provide to those customers. >> What's next? >> Security is an ever evolving field, and the bad guys are always trying new things, so the work that is really happening, a lot of the innovation that's happening is within the analytics, machine learning space around being able to pull more log files out, being able to refine the algorithms and basically being able to provide more AI to the logs themselves so that we can provide integrated alerts, like for example, if you have a kill chain of an individual coming in attacking one of your product, and then using that to the lateral mobility to other products, or other services within your product, we can pull this together in a common log. We can show to customers here's the sequence of this one individual that across three, or four, or five different services. You have top level disability, and we can give you then guidance to say if you insert separation of duties between these two individuals, then you could've broken that kill chain. We can do proactive guidance to customers to help them secure their own workloads even if they necessarily initially were not deployed in a necessarily most secure manner. >> George, we just have a couple of minutes left, but I'd like to get your perspective. You showed a tremendous amount of the accomplishments that Azure has made in public cloud and in security. What are the opportunities for partners to sell and resell Azure services? >> Absolutely. Microsoft has historically always worked incredibly well with partners. We have a very large partner ecosystem. >> Peter: It's the biggest. >> Is the biggest, exactly. Okay, I don't want to brag too much, yes. (laughing) >> That's what I'm here for, George. >> We see specifically in the security space that partners are increasingly, around 40% of their revenue increasingly is coming from cloud-based assets, cloud-based sales. We are setting up the necessary partner channels and partner models where we can make sure that the reseller channels and our partners are an integral part of our environment, and they can get the necessary revenue shares, and we can give them the leads on how the whole system evolves. Absolutely we believe that partners are first and foremost to our success, and we are making deep, deep, deep investments in the partner programs to make that possible. >> Well George, we wish you and Microsoft Azure continued success as well as your partnership with Fortinet. We thank you so much for taking the time to join us on theCUBE today. >> Thank you. >> And for my cohost, Peter Burris, I'm Lisa Martin. Stick around, we will be right back on theCUBE.