[digital Music] >> Okay, welcome back to "theCUBE," Supercloud 22. I'm John Furrier, host of "theCUBE." We got a very special distinguished CUBE alumni here, Rajiv Ramaswami, CEO of Nutanix. Great to see you. Thanks for coming by the show. >> Good to be here, John. >> We've had many conversations in the past about what you guys have done. Again, the perfect storm is coming, innovation. You guys are in an interesting position and the Supercloud kind of points this out. We've been discussing about how multi-cloud is coming. Everyone has multiple clouds, but there's real structural change happening right now in customers. Now there's been change that's happened, cloud computing, cloud operations, developers are doing great, but now something magical's happening in the industry. We wanted to get your thoughts on that, that's called Supercloud. >> Indeed. >> How do you see this shift? I mean, devs are doing great. Ops and security are trying to get cloud native. What's happening in your opinion? >> Yeah, in fact, we've been talking about something very, very similar. I like the term supercloud. We've been calling it hybrid multicloud essentially, but the point being, companies are running their applications and managing their data. This is lifeblood for them. And where do they sit? Of course, some of these will sit in the public cloud. Some of these are going to sit inside their data centers and some of these applications increasingly are going to run in edges. And now what most companies struggle with is every cloud is different, their on-prem is different, their edge is different and they then have a scarcity of staff. Operating models are different. Security is different. Everything about it is different. So to your point, people are using multiple clouds and multiple locations. But you need to think about cloud as an operating model and what the supercloud or hyper multicloud delivers is really a consistent model, consistent operating model. One way for IT teams to operate across all of these environments and deliver an agile infrastructure as a service model to their developers. So that from a company's managed point of view, they can run their stuff wherever they want to, completely with consistency, and the IT teams can help support that easily. >> You know, it's interesting. You see a lot of transformation, certainly from customers, they were paying a lot of operating costs for IT. Now CapEx is covered by, I mean, CapEx now is covered by the cloud, so it's OpEx. They're getting core competencies and they're becoming very fluent in cloud technologies. And at the same time the vendors are saying, "Hey, you know, buy our stuff." And so you have the change over, how people relate to each other, vendors and customers, where there's a shared model where, okay, you got use cases for the cloud and use cases on-premise, both CapEx, both technology. You mentioned that operating model, Where's the gap? 'Cause nobody wants complexity, and you know, the enterprise, people love to add, solve complexity with more complexity. >> That's exactly the problem. You just hit the nail on the head, which is enterprise software tends to be very complex. And fundamentally complexity has been a friend for vendors, but the point being, it's not a friend for a company that's trying to manage their IT infrastructure. It's an an enemy because complexity means you need to train your staff, you need very specialized teams, and guess what? Talent is perhaps the most scarce thing out there, right? People talk about, you know, in IT, they always talk about people, process, technology. There's plenty of technology out there, but right now there's a big scarcity of people, and I think that talent is a major issue. And not only that, you know, it's not that we have as many specialized people who know storage, who know compute, who know networking. Instead, what you're getting is a bunch of new college grads coming in, who have generalized skill sets, who are used to having a consumer like experience with their experience with software and applications, and they want to see that from their enterprise software vendors. >> You know, it's just so you mentioned that when the hyper converged, we saw that movie that was bringing things together. Now you're seeing the commoditization of compute storage and networking, but yet the advancement of higher level services and things like Kubernetes for orchestration, that's an operating opportunity for people to get more orchestration, but that's a trade off. So we're seeing a new trend in the supercloud where it's not all Kubernetes all the time. It's not all AWS all the time. It's the new architecture, where there's trade offs. How do you see some of these key trade offs? I know you talked to a lot of your customers, they're kind of bringing things together, putting things together, kind of a day zero mentality. What are some of those key trade offs and architectural decision points? >> So there's a couple of points there, I think. First is that most customers are on a journey of thoughts and their journey is, well, they want to have a modern infrastructure. Many of them have on-prem footprints, and they're looking to modernize that infrastructure. They're looking to adopt cloud operating models. They're looking to figure out how they can extend and leverage these public clouds appropriately. The problem is when they start doing this, they find that everything is different. Every little piece, every cloud is different, their on-prem is different, and this results in a lot of complexity. In some ways, we at Nutanix solved this problem within data centers by converging separate silos of high computer storage and network. That's what we did with HCI. And now this notion of supercloud is just simply about converging different clouds and different data. >> Kind of the same thing. >> And on-prem and edges, right? Trying to bring all of these together rather than having separate teams, separate processes, separate technologies for every one of these, try to create consistency, and it makes life a lot simpler and easier. >> Yeah, I wanted to connect those dots because I think this is kind of interesting with the supercloud was, you get good at something in one cloud, then you bring that best practice and figure out how to make that work across edge and on-premise, which is, I mean, basically cloud operations. >> Exactly. It's cloud operations, which is why we say it's a cloud is an operating model. It's a way you operate your environment, but that environment could be anywhere. You're not restricted to it being in the public cloud. It's in your data center, that's in the edges. >> Okay, so when I hear about substrates, abstraction layers, I think two things, innovation cause you extract away complexity, then I also think about from the customer's perspective, maybe, lock-in. >> Yes. >> Whoa, oh, promises, promises. Lock in is a fear and ops teams and security teams, they know the downside of lock-in. >> Yes. >> Choice is obviously important. Devs don't care. I mean, like, whatever runs the software, go faster, but ops and security teams, they want choice, but they want functionality. So, what's that trade off? Talk about this lock-in dynamic, and how to get around. >> Yeah. >> And I think that's been some of the fundamental tenants of what we do. I mean, of course, people don't like lock-in, but they also want simplicity. And we provide both. Our philosophy is we want to make things as simple as possible. And that's one of the big differentiators that we have compared to other players. Our whole mission inside the company is to make things simple. But at the same time, we also want to provide customers with that flexibility and every layer in the stack, you don't want to lock to your point. So, if at the very bottom hardware, choice of hardware. Choice of hardware could be any of the vendors you work with or public cloud, Bare Metal. When you look at hypervisor, lots of choices. You got VMware, you got our own Ahv, which is KBM-based open source hypervisor, no lock-in there, provide complete flexibility. Then we have a storage stack, a distributor storage stack, which we provide. And then of course layers about that. Kubernetes, pick your Kubernetes, runtime of choice. Pick your Kubernetes, orchestrator and management of choice. So our whole goal is to provide that flexibility at every layer in the stack, allowing the customer to make the choice. They can decide how much they want to go with the full stack or how much they want to go piecemeal it, and there's a trade off there. And they get more flexibility, but at the cost of a little bit more complexity, and that, I think, is the trade off that each customer has to weigh. >> Okay, you guys have been transforming for many, many years. We've been covering on SiliconANGLE and theCUBE to software. >> Yes. >> I know you have hardware as well, but also software services. And you've been on the cloud bandwagon years ago, and now you made a lot of progress. What's the current strategy for you guys? How do you fit in? 'Cause public cloud has great use cases, great examples of success there, but that's not the only game in town. You've got on-premise and edge. What are you guys doing? What specifically are customers leaning on you for? How are you providing that value? What's the innovation strategy? >> Very simply, we provide a cloud software platform today. We don't actually sell anymore hardware. They're not on our books anymore. We're a pure software company. So we sell a cloud soft platform on top of which our customers can run all their applications, including the most mission critical applications. And they can use our platform wherever, to your point, on the supercloud. I keep coming back to that. We started out with our on-prem genes. That's where we started. We've extended that to Azure and AWS. And we are extending, of course, we've always been very strong when it came to the edge and extending that out to the edge. And so today we have a cloud platform that allows our customers to run these apps, whatever the apps may be, and manage all their data because we provide structured and unstructured data, blocks, files, objects, are all part of the platform. And we provide that in a consistent way across all of these locations, and we deliver the cloud operating model. >> So on the hardware thing, you guys don't have hardware anymore. >> We don't sell hardware anymore. We work with a whole range of hardware partners, HP, Dell, Supermicro, name it, Lenovo. >> Okay, so if I'm like a Telco and I want to build a data center at my tower, which could be only a few boxes, who do I buy that from? >> So you buy the software from us and you can buy the hardware from your choice of hardware partners. >> So yeah, whoever's selling the servers at that point. >> Yeah. >> Okay, so you send on the server. >> Yeah, we send on the server. >> Yeah, sound's good. So no hardware, so back to software that could transfer. How's that going, good? >> It's gone very well because, you know, we made two transformations. One is of course we were selling appliances when we started out, and then we started selling software, and now it's all fully subscription. So we're 100% subscription company. So our customers are buying subscriptions. They have the flexibility to get whatever duration they want. Again, to your philosophy, there's no lock-in. There is no long term lock-in here. We are happy if a customer chooses us for a year versus three years, whatever they like. >> I know that you've been on the road with customers this summer. It's been great to get out and see people in person. What are you learning? What are they viewing? What's their new Instagram picture of Nutanix? How do they see you? And how do you want them to see you? >> What they've seen us in the past has been, we created this whole category of HCI, Hyperconverged Infrastructure. They see us as a leader there and they see us as running some of their applications, not necessarily all their applications, especially at the very big customers. In the smaller customers, they run everything on us, but in the bigger customers, they run some workload, some applications on us. And now what they see is that we are now, if taking them on the journey, not only to run all their applications, whatever, they may be, including the most mission critical database workloads or analytics workloads on our platform, but also help them extend that journey into the public cloud. And so that's the journey we are on, modernized infrastructure. And this is what most of our customers are on. Modernizing the infrastructure, which we help and then creating a cloud operating model, and making that available everywhere. >> Yeah, and I think one, that's a great, and again, that's a great segue to supercloud, which I want to get your thoughts on because AWS, for example, spent all that CapEx, they're called the hyperscaler. They got H in there and that's a hyperscale in there. And now you can leverage that CapEx by bringing Nutanix in, you're a hyperscale-like solution on-premise and edge. So you take advantage of both. >> Absolutely. >> The success. >> Exactly. >> And a trajectory of cloud, so your customers, if I get this right, have all the economies of scale of cloud, plus the benefits of the HCI software kind of vibe. >> Absolutely. And I'll give you some examples how this plays out in the real world based on all my travels here. >> Yeah, please do. So we just put out a case study on a customer called FSP. They're a betting company, online betting company based out of the UK. And they run on our platform on-prem, but what they saw was they had to expand their operations to Asia and they went to Taiwan. And the problem for them was, they were told they had to get in business in Taiwan within a matter of a month, and they didn't know how to do it. And then they realized that they could just take the exact same software that they were running on our platform, and run it in an AWS region sitting in Taiwan. And they were up in business in less than a month, and they had now operations ready to go in Asia. I mean, that's a compelling business value. >> That's agile, that's agile. >> Agile. >> That's agile and a great... >> Versus the alternative would be weeks, months. >> Months, first of all, I mean, just think about, they have to open a data center, which probably takes them, they have to buy the hardware, which, you know, with supply chain deliveries, >> Supply chain. and God knows how long that takes. >> Oh God, yeah. >> So compared to all that here, they were up and running within a matter of a month. It's a, just one example of a very compelling value proposition. >> So you feel good about where you guys are right now relative to these big waves coming? >> Yeah, I think so. Well, I mean, you know, there's a lot of big waves coming and. >> What are the biggest ones that you see? >> Well, I mean, I think there's clearly one of the big ones, of course, out there is Broadcom buying VMware or potentially buying VMware and great company. I used to work there for many years and I have a lot of respect for what VMware has done for the industry in terms of virtualization of servers and creating their entire portfolio. >> Is it true you're hiring a lot of VMware folks? >> Yes, I mean a lot of them coming over now in anticipation, we've been hiring our fair share, but they're going other places too. >> A lot of VMware alumni at Nutanix now. >> Yes, there are certainly, we have our share of VMware alumni. We also have a share of alumni from others. >> We call the V mafia, by the way. (laughs) >> I dunno about the V mafia, but. But it's a great company, but I think right now a lot of customers are wondering what's going to happen, and therefore, they are looking at potentially what are the other alternatives? And we are very much front and center in that discussions. >> Well, Dave Alante and I, and the team have been very bullish on on-premise cloud operations. You guys are doing there. How would you describe the supercloud concept to a customer when they say, "Hey, what's the supercloud? "It's becoming a thing. "How would you describe what it is and the benefits?" >> Yeah, and I think the first thing is to tell them, what problem are you looking to solve? And the problem for them is, they have applications everywhere. They have data everywhere. How do their teams run and deal with all of this? And what they find is the way they're doing it today is different operating platform for every one of these. If you're on Amazon, it's one platform. If you're an Azure, it's another. If you're on-prim, it's a third. If you want to go to the edge, probably fourth, and it's a messy, complex thing for their IT teams. What a supercloud does is essentially unify all of these into a consistent operating model. You get a cloud operating model, you get the agility and the benefits, but with one way of handling your compute storage network needs, one way of handling your security policies, and security constructs, and giving you that, so such a dramatic simplification on the one side, and it's a dramatic enabler because it now enables you to run these applications wherever you want completely free. >> Yeah. It really bridges the cloud native. It kind of the interplay on the cloud between SAS and IAS, solves a lot of problems, highly integrated, that takes that model to the complexity of multiple environments. >> Exactly. >> That's a super cool environment. >> (John speaks over Rajiv) Across any environment, wherever. It's changing this thing from cloud being associated with the public cloud to cloud being available everywhere in a consistent way. >> And that's essentially the goodness of cloud, going everywhere. >> Yeah. >> Yeah, but that extension is what you call a supercloud. >> Rajiv, thank you so much for your time. I know you're super valuable, and you got a company to run. One final question for you. The edge is exploding. >> Yes. >> It's super dynamic. We kind of all know it's there. The industrial edge. You got the IOT edge and just the edge in general. On-premise, I think, is hybrid, it's the steady state, looking good. Everything's good. It's getting better, of course, things with cloud native and all that good stuff. What's your view of the edge? It's super dynamic, a lot of shifting, OT, IT, that's actually transformed. >> Yes, absolutely. >> Huge industrial thing. Amazon is buying, you know, industrial robots now. >> Yes. >> Space is around the corner, a lot of industrial advance with machine learning and the software side of things, so the edge is exploding. >> Yeah, you know, and I think one of the interesting things about that exploding edge is that it tends to be both compute and data heavy. It's not this notion of very thin edges. Yes, you've got thin edges too, of course, which may just be sensors on the one hand, but you're seeing an increased need for compute and storage at the edges, because a lot of these are crunching, crunching applications that require a crunch and generate a lot of data, crunch a lot of data. There's latency requirements that require you and there's even people deploying GPUs at the edges for image recognition and so forth, right? So this is. >> The edge is the data center now. >> Exactly. Think of the edge starting to look at the edge of the mini data center, but one that needs to be highly automated. You're not going to be able to put people at every one of these locations. You've got to be able to do all your services, lifecycle management, everything completely remove. >> Self-healing, all this good stuffs. >> Exactly. It has to be completely automated and self-healing and upgradeable and you know, life cycle managed from the cloud, so to speak. And so there's going to be this interlinkage between the edge and the cloud, and you're going to actually, essentially what you need is a cloud managed edge. >> Yeah, and this is where the super cloud extends, where you can extend the value of what you're building to these dynamically new emerging, and it's just the beginning. There'll be more. >> Oh, there's a ton of new applications emerging there. And I think that's going to be, I mean, there's people out there who code that half of data is going to be generated at the edge in a couple of years. >> Well, Rajiv, I am excited that you can bring the depth of technical architectural knowledge to the table on supercloud, as well as run a company. Congratulations on your success, and thanks for sharing with us and being part of our community. >> No, thank you, John, for having me on your show. >> Okay. Supercloud 22, we're continuing to open up the conversation. There is structural change happening. We're going to watch it. We're going to make it an open conversation. We're not going to make a decision. We're going to just let everyone discuss it and see how it evolves and on the best in the business discussing it, and we're going to keep it going. Thanks for watching. (digital music)

>> From around the globe, it's theCUBE. Covering HPE Discover Virtual Experience. Brought to you by HPE. >> Welcome back, this is theCUBE's coverage of HPE Discover the Virtual Experience. I'm your host Stu Miniman. And we are now excited to be able to go beyond the hype of hyper convergence. Happy to welcome back to the program one of our regulars, even though he has a new title, Patrick Osborne is the vice president and general manager for Hewlett Packard Enterprise Hyperconverged Infrastructure, or HPE HCI as we could abbreviate. Patrick, good to see you. Thanks for much for coming back on theCUBE. >> Absolutely Stu, thanks for having me. It's always a pleasure to be on theCUBE. >> All right. So, you know, HCI, obviously has had a dramatic impact on the storage industry, you know, HPE has, you know, acquisitions like SimpliVity, Nimble has a play there, you've got partnerships with some solutions including with GreenLake. Why don't you give us just kind of the update, you've been with HPE for quite a while, what really, you know, excited you about taking this job and then we'll begin on the latest in the portfolio. >> Well, I think, so what's exciting about this market is it's a growth market. HCI is certainly a great solution for a whole swath of customer segments. So we thought, you know, about these HCI solutions from everyone, from our largest enterprise customers all the way down to our smallest SMB customers, and it really fits the bill not only for what you think about a standard HCI, where you're collapsing workloads and you're collapsing infrastructure, but also I think one of the interesting things that we've been able to deliver, especially with products like the HCI is around delivering dHCI experience for three tiers of architecture. And, you know, I think that's really exciting for customers that you know, certainly are moving more towards generalists, away from specialists and, you know, you're going to get really get that HCI experience in addition to a lot of other things we bring to the table here at HPE, that you know, we've talked about before, especially around AI ops and InfoSight and the ability to do a ton of things around predictive analytics. So it's an exciting space and it serves almost our entire customer base. >> Excellent. Now your group you did some announcements, a little bit ahead of Discover, why don't you give us the latest on the news and lay out how the portfolio fits. >> Yeah, so back in May we made some significant announcements on, in the HCI portfolio. So both on HCI SimpliVity as well as our Nimble dHCI offerings. One of the things we brought to market was around VDI specifically and we launched a new platform called the SimpliVity 325 and based on some new technology with our partner AMD are able to, you know, significantly lower the cost and increase the performance for the number of remote users that were, you know, that we're able to support with the platform and also bring together a solution you know, so, you know, what you also partner with folks like Citrix and CTERA and a whole a number of folks so we can have a full vertically oriented solution stack for customers that are doing, you know, they're significantly expanding their footprint around remote workers. And, you know, at the end of the day, it's going to cut in half, you can say 50% savings on your, you know per remote worker for desktop. So some significant savings there, and we've seen a huge amount of uptick for that platform in the last two months, even since we announced it. And then secondly, on the dHCI side, we made a number of announcements around simplicity, adding that a platform to our GreenLake consumption model, which is really cool, and then adding a whole set of new building blocks on the compute side based on AMD technology that allows, you know, folks to apply different types of compute per workload for our dHCI solution. So we made a pretty, pretty big announcement back in May around our portfolio for HCI solutions and the customers are definitely impacted super positively for both announcements. >> Yeah, it's funny. I remember a few years back, everybody kind of rolled their eyes a little bit. It was like, Oh, you know, VDI talked about it to death. And of course with the global pandemic, now of course remote work so critically important, I've talked to a number of CIOs that have had HCI solutions and it's like, Hey, I need to dramatically increase my services, I need to be able to scale things up and if I didn't have these solutions, I wouldn't be able to react as fast as I need. You said you you've seen an uptick, any particularly anecdotes or, you know, customer stories as to how they've been able to react fast in today's climate. >> Yeah, so especially for knowledge workers that are working remote, I mean, I can tell you that, almost 98 or 99% of my staff and the folks at HPE are working remotely and they're doing a fantastic job. So, you know, when we're able to service, you know, very small customers that are just, you know, embarking on their journey for remote workers to some of the largest corporations out there that our partners and customers of HPE, we've been able to, you know, produce a, you know, a really good outcome for them in addition to, you know, working with our partners, our reseller partners, to put this is another solution building block in their bag of tricks for their customers. >> All right. The other thing, what I want to talk a bit about is, you know, HCI is a managed service, so GreenLake, I've talked to some of your team, it has about a thousand customers HCI, so you know, one of the main options that they're offering there. Why don't you bring us inside a little bit as to, you know, why customers are choosing choosing GreenLake and you know, what that means for your product set? >> So this, from a strategic perspective, HPE, we've stated this publicly is that we want to offer all of our products and solutions as a service from a consumption perspective over the next couple of years. And so, you know, one of those key things that we want to offer from a workload perspective is certainly HCI as a service, so VMs as a service and as well as, you know, higher level type of applications, like VDI as a service. And so one of the announcements that we made was including both of our portfolios, HCI and dHCI in GreenLake so you can, essentially as a customer, you can start off very small and you are paying for the solution in metered increments, and we have lots of flexibility, you can do it at the workload level, you can do it at the CPU consumption level, you can do it at storage consumption level and so that gives a lot of flexibility and that's great for our larger customers that want to move from a CAPEX to an OPEX model. And, but it also really helps a lot of our small and medium sized customers who are, you know, in this environment, they are, you know, one of the top things in their mind is maintaining liquidity and so they can move that to an OPEX model and we actually have some really great offers that we announced with HPE financial services in conjunction with GreenLake on making this a very flexible, very cost effective manner to consume infrastructure and provide solutions for their customers and their end users. >> Excellent. You mentioned before a little bit about AI ops, give us a little bit as to how you see the, really the next generation of HCI taking advantage of, you know, automation intelligence and the like. >> Yes, so you know, as we've a talk on theCUBE before, one of the, I think one of the key solutions that we have and experiences that we bring to our customers in addition to the consumption level is this ability to do AI ops, global learning, predictive analytics for our workloads, for our customers, and essentially really really cut down on the costs in people that it takes to maintain these solutions and then you can, you know, essentially use the global learning and global aspect of, you know, a giant fleet in our entire install base and that gets applied to HCI. So SimpliVity HCI has been plugged into info site for over about a year now. Nimble obviously, Nimble dHCI, it's a core from the product offering and it's the best offering in the market for AI ops. And so our ability to do these things and provide predictive analytics, memory pressure, black listing, and white listing, the install base for problems, being able to reach out to customers before issues happen, noisy neighbors, VM consumption, storage consumption, all these things, you know, really cut down and provide a really awesome support automation experience for customers and essentially have a seamless experience for managing all of our systems. And when you think about HCI 2.O being able to do that, not only on a compressed infrastructure like HCI, but being able to do it on dHCI, which is desegregated hyperconverged so you can scale storage and networking and compute separately and you provide that same HCI experience from a management perspective and the AI ops around it is a game changer for, you know, some of the most, you know, business and mission critical applications that our customers are running. >> Alright. Well, one of the big themes that we're hearing across HPE Discover this year is about it's solutions. Traditionally I think of HCI really as helping collapse and simplify the data center, really that cloud operating model almost in the data center, where do these things connect? How does the edge fit in to this whole discussion? >> Yeah, so one of the beauties of HCI and specifically SimpliVity is our ability to be hyper efficient not only in the just the storage of the data. So, you know, from day one, everything is de-duped, everything is compressed and that's across both your on prem copies, as well as your DR copies, as well as your backup copies. And one of the things that we're seeing is that, sure HCI is great to collapse workloads in the data center and, but what we're seeing now is the ability to go serve as workloads that are running outside of the data center and when we talk about edge, we have some fantastic assets and a lot of customers, you know, running our edge compute solutions, our edge networking solution, specifically wireless and Aruba and what we're able to do is we're bringing those services, so compute, networking, and storage closer to the end user, but outside the data center and so there are some challenges to that like, so how do you federate the management of hundreds, if not thousands of clusters of these workloads running that could be anywhere from, you can think about a small, like a micro data center to a closet to even just, you know, small form factor that could be in a half of a rack and being able to manage those effectively but then also be able to pull the workloads and the data back. So being able to do edge, to core to cloud from a data mobility perspective. It's something that we provide and our customers are certainly deploying our solutions because of that. So a lot of stuff going on in the edge and I think one of the other things too that we see is people are running virtualized workloads, so VMs, and then also starting to incorporate containers. So microservices for, you know, industry specific things like vision and video and, you know, a whole bunch of things that happen around AI and ML at the edge. So it's very exciting place. >> Yeah. I'm glad you brought that up. You know, obviously one of the things that we're hearing a lot of interest from the community when it comes to virtualization is, you know, what is happening with that, really application modernization and containerization a big piece of that, of course, VMware with vSphere 7 are really helping to bring Kubernetes together to the virtualization environment. How do you see all of these playing together? You know, being a bare mental virtualization, containers, you know, edge, core, cloud, it's a complicated environment and, you know, the goal of HCI was always to help simplify this but we know IT is a bit messy and additive. >> Yeah, I think at the end of the day, you know, there are some basic services that customers want to run at the end of the day. They want to be able to deploy a workload on infrastructure that can be managed remotely, that could be managed at scale that provides, resiliency, it provides performance and it provides data mobility and HCI provides all of those capabilities whether it's, you know, through the HPE SimpliVity portfolio or Nimble dHCI and so you have a number of different building blocks that you can build. But on top of that is a set of data services in cloud consumption like experience that allows you to place those workloads on the infrastructure that you need and where you need it. And so if it's running at the edge, this commingling of VMs and containers, you know, we have a pretty unique platform out there, especially for things like AI and ML workloads in our HPE container platform and so you can run that for example, on something like HPE SimpliVity or dHCI, whether that's in the data center or whether you're running that on the edge and being able to service those customers, that's not an all or nothing proposition. At this point, you know, a number of our customers are running workloads that are virtualized and that are side by side to provide essentially good to customers, their customers at the end of the day. >> Excellent. Patrick, I'll give you the final word, takeaways if you want, that your customers want to have from HPE Discovery's week. >> Yeah, HPE Discover Virtual Experience has been great and you know, I think everyone participating in this, you know, we'd love to provide you as (mumble) as possible. There are a number of announcements around HCI, both our HCI platform was SimpliVity, to dHCI, we made some really great announcements recently around our primary storage and then we're going to continue at HPE Discover around some of our cloud data services. So when you think about someone who's going to provide, you know, you're going to partner with, from a costumer perspective on your most valuable workloads, whether it's workloads that exist today, or workloads that are fuel your digital transformation, HPE really is a partner that's providing, you know the infrastructure, the workloads and the cloud like experience both from a management perspective as well as from a consumption perspective that's going to service as these workloads from edge to core to cloud. So we're pretty excited about HPE discover now. >> Excellent. Thanks so much, Patrick and we'll be right back with lots more coverage from HPE Discover, I'm Stu Miniman and thank you as always for watching theCUBE.