welcome back everyone to thecube's live coverage in san francisco for vmware explorer 2022 formerly vmworld i'm john furrier david live dave 12 years we've been covering this event formerly vmware first time in west now it's explore we've been in north we've been in south we've been in vegas multi-cloud is now the exploration vmware community is coming in john siegel svp at dell cube alumni dave mccraw vp at vmware guys thanks for coming back both cube alumni it's great to see you very senior organizations senior roles in the organizations of vmware and dell one year since the split great partnership continuing i mean some of the conversations we've been having over the past few years is that control plane the management layer making everything work together it's essentially been the multi-cloud hybrid cloud story what's the update what's how's the partnership look yeah i you know i just to start off i mean i would say i don't think our partnership's been any has ever been any better um if you look at you mention our vision very much a shared vision in terms of the multi-cloud world and i don't think we've ever had more joint innovation projects at one time i think we have over 40 now dave that are going on across multi-cloud ai cyber security uh modern applications and and uh you know here just at you just vmworld vmware explorer we have over 30 uh vmware sessions that are featuring dell um and this is i think more than we've ever had so look i think um there's a lot of momentum there and we're really looking forward to what's to come so you guys obviously spent a lot of time together when vmware was part of dell and then you've been it's been a year since the spin and then you codified i think it was a five-year agreement you know so you had some time to figure that out and then put it into paper so you just kind of quantified some of the stuff that's going on but now we're entering a yet another phase so that that that that agreement's probably more important than ever now i mean list in terms of getting it documented and an understanding right yeah that agreement really defines a framework for solution development and for go to market so we've been doing it and refining it for the last five years so now you know putting and codifying it into a written signed agreement it basically is instantiating what we've been doing that we know works uh where we can drive uh solution development we can drive deep architectural co-innovation together as well and as john said across multiple you know project and solution areas so we we've been talking to years to you know a lot of these strat guys guys like matt baker about things like you know you see aws do nitro and then of course project monterey and and i know that you guys have had a you know a big sort of input into that and so now to see it come to fruition is is huge because you know from our view it's the future of computing architectures how do you handle you know data rich applications ai applications that's what are your thoughts on here i couldn't agree more uh project monterey is a great example of how we're innovating together we just talked about i mean first of all it's all so we have vxrail which let's let's start there right we have over 19 000 joint customers right now we continue to innovate more and more on the vxrail architecture great example of that as our partnership with project monterey and taking essentially vsphere 8 and running it for the first time on an hci system directly on the dp used itself right on the dpus ability now to offload nsxt from from the cpus to the dpus uh hope you know in the short term first of all great benefits for customers in terms of better performance but as you just mentioned it's game changing in terms of laying the foundation for the future architectures that we plan on together helping out customers there's one other dynamic for you on is um and it's not unique to dell but dell's the biggest you know supply supplier partner etc but you're able to take vmware software and drive it through your business and and that enables you to get more subscription revenue and makes it stickier and that's a really important change from you know 10 years ago yeah and it's it's a combination as you know of dell software and vmware software together absolutely and i think what's with this is a game-changing innovation that you can run on top of our joint system vxrail if you will um and now what our customers can expect is life cycle automation of now you know the dpus as well as tanzu as well as everything else we layer on top of that core foundation that we have over 19 000 customers running today so i mean like that 19 000 number i want to get back up to the vx rail and you mentioned vsphere that's big news here this year vsphere 8 big release a lot of going on what's the hci angle you mentioned that what's in it for the customer what does that mean for the folks here because let's face it the vsphere aids got everyone in that they've all the v-sections are going going crazy right another vsphere release getting training they have the labs here what's it mean for the customers what's the value there with that hci solution with the gpus well first of all vsphere 8 as we know it has a lot of goodies in it but you know what what i think to me what's been most powerful about this is the ability to run vsphere 8 uh and and specifically on the dpus now you can run it it is open up all new possibilities now and so that nsxt that i mentioned you know running that on gpus opens up a whole new uh architecture now for our customers going forward and now really sets us up for modern distributed architecture for the future so like edge okay yeah and vsphere 8 brings in you know cloud connectivity as well so you know customers can run in a cloud disconnected mode they can run in a cloud connected mode so you know that's going to bring in the ability to do specialized things on security cycle management there's a whole series of services that can now be added as well as you know leveraging you know vcenter management capabilities so what's happening at the edge we had i think it was lows on hotel tech world right okay good not the other one um but so so that's got to be exploding now with that with that because it just changes the game for for these stores there's i mean retail uh manufacturing maybe you can give us an update on there's so much happening on the edge side as you know i mean that's where most of the a lot of the innovations happening right now is at the edge and a lot of the companies we talked to 8x right 8x expectation of increase in uh edge workloads over the next and the data challenge too and the data challenge is huge so you heard about the innovations with vsphere 8. in addition to that we just introduced today as well the smallest vx rail for the edge ever this thing is it's like think picture a couple eight and a half by 11 notebooks not much not much you know maybe a little wider than that but not much more um you know these these are stacked on top of each other these are you can rack and stack and mount these things anywhere and it also is the first aci system that has you know a built-in hardware witness so this helps set it up for environments that are you know network bandwidth constrained or have high high latency no longer an issue next gen app is going to want to have a local data server at the edge right and with compute there right high performance right right so now you're getting it across the wire yes you get racket stack a couple of these small things i mean they can they can fit into like a you know clark kent's briefcase right these things are so small um you want to do the analytics on site and return responses back you don't want to be moving massive data payloads off the egg so you got to have the right level of compute to run machine learning algorithms and and do the analytics type work that you want to do to make local decisions yeah i mean we just had david lithimon who was one of the keynote speakers here at the event and we've been talking about super cloud and multi-cloud meta cloud all the different versions of what we see as this next-gen and this brings up a point of like his advice to young people learn how multi-cloud learn about system architecture because if you can figure out how to put it together you're going to have to make more money anyway that this whole edge piece opens up huge challenges and opportunities around how do you configure these next-gen apps what does the ai look like what's the data architecture this is not like get some training curriculum online and you get you know 101 and you're getting a job no this is more complicated but with the hardware you guys make it easier so where's the complexity shift between having a powerful edge device like the vxrail with the vsphere what's the ec button on that like how do you guys what's the vision because this is going to be a major battleground this whole edge piece yeah it's going to be huge well i think when you look at the innovation that dell is bringing to market with technologies like outlander and then designing that into vxrail and then you combine that with our tonzu capabilities to manage development and deployment of applications this is about heterogeneous deployment and management at scale of applications with technologies like tons of mission control then deploying service mesh right for security being able to use sassy to be able to secure you know with cloud security over the wire so it's bringing together multiple technologies to deliver simplicity to the customer the ability to go one to many you know in terms of being able to deploy and manage and update whether that's a security patch or an application update and do that very rapidly at a low cost so the benefit with this solution now just putting this together is i can ship a box small and or stack them and essentially it's done remotely it's that's provision the provisioning issues not a truck roll as they say or professional services enabled you can just drop that out there and this is where the customers need to be yeah that absolutely is that the vision don't get that right exactly you don't you don't need the you don't need the skills yeah you don't need the specialized skills you don't need a lot of space you don't need you know high network bandwidth all these things right all these innovations that we're talking about here um really combined into really enabling a whole new whole new future here for edge is are you doing apex now is that i think thickest part sure part of yours okay so um is apex fitting into the to the edge how does it fit yeah i mean well first of all you know a lot of what we talked with apex is really about a consumption a way to ensure there's a common cloud experience wherever the data is and where the applications are and so absolutely edge fits into this as well and so we have we have common ways to consume our infrastructure today our joint infrastructure whether it's in the data center at the edge um or you know uh in the cloud usain ragu when he was on i said it was great keynote loved it one of the things that i didn't think there was enough of was security and he's like yeah we only had so much time but vmware is a very strong security story we heard a really strong security story at dell tech world i mean half the innovations and the new you know storage products were security and the new os's and it was impressive what what's how are you guys working together on security is that one of those let me give you a few key things you know our teams are working together at the engineer to engineer level you know reference architectures for zero trust as an example being able to look you know hardware root of trust up into the application layer right so we're looking at really defense in depth here you know i mentioned what we're doing with sassy right with cloud security capabilities so you really have to look at this from the edge to the core with the you know from a networking perspective getting the network the insights on things that maybe anomalies that may be happening on the network so using our network insight technology you know uh nsx and then being able to ultimately uh have a secure development pipeline as well i mean you we all know about the supply chain attacks that happen right and so being able to have a you know secure pipeline for development is critical for both of our companies working together i think the tan zoo and you mentioned the developer self-service that experience combined with kind of the power of the dell you know let's face it the boxes are awesome hardware matters and software matters so bringing that expertise together michael daley always used to say on thecube better together in respect to vmware and dell a lot of fruit has been born from that labor right specifically around and now when you add the tan zoo and you get vsphere you got the operational excellence you got the you got the performance and scale with the dell boxes and hardware and software and now you've got the tan zoo what's missing or is it all there now i mean where how would you how would you guys peg the progress bar is it like it's all rocking right now or or i'd say you're never done first of all but i you know i look at some of the innovations that we've brought to market recently where we've are combining and stacking these technologies into a more defense in-depth like solution you know bringing nsx onto vxrail so that you can flip a switch easily and light up the firewall the new plug-in yeah that's a great example simple simple um carbon black workload another example where we're taking carbon black technology that was typically on endpoints you know on pcs bringing that into the data center right and leveraging all the analytics and insights around you know being able to identify anomalies and then remediate those anomalies so we're seeing very good traction with those and the cloud native developers containers they're all native container working with compute and container storage object store in the cloud kubernetes we've embraced it yeah i mean yeah containers running containers and vms on the same infrastructure common way to manage it all i mean that that's been a big part of it as well obviously a lot of the focus that dell's bringing here as well is is the inability to run that stack easily right you heard the announcement on uh tanzu for kubernetes operators right earlier today tko we call it uh you know that running on vxrail now is really targeted at the i.t operator in allowing them to easily stand up a self-service developer devops environment on vxrail going forward and then a piece that might be invisible to them is back to monterey isolation right encryption and data moving you know absolutely storage the security the compute right the management right that's that's a complete and it's about reducing attack services as well right the security perspective as well when you when you're moving nsxt onto a dpu you're doing that as well so there's it takes the little things right at the end of the day security is a mindset up across both companies in terms of how we approach our architectures um and it's the you know a lot of times it's the little things as well that we make sure right so shared vision working at the engineering levels together for many many years know that you guys are validating more of that coming what's next take us through okay we're here 2022 we got super cloud multi-cloud hybrid full throttle right now it's hybrid's a steady state that's cloud operations infrastructure as code has happened it's happening what's next for you guys in the relationship can you share a little bit that you can if you can what we can expect what you see uh with monterrey is the start of a re-architecting of i.t infrastructure not just in the data center but also at the edge right these technologies will move out and be pervasive you know across i think edge to colo to core data center to cloud right and so that's a starting point now we're looking at memory tiering right i think we talked last time about capitola and memory tiering and you know being able to bring that forward uh being able to do more with confidential computing as an example right secure enclaves and confidential computing so you know a lot of this is focused around simplicity and security going forward and ease of management around take the heavy lifting away from the customer abstract that in offer the power and performance that's right and it's going to come down to delivering time to value for our customers you know can we cut that time to value by 25 50 percent so they can be in production faster yeah i think project monterey is something we'll be building on for a long time right i mean this is the start of a major new future architecture of these companies so if you had to pick one we have 40 initiatives that are joined together real literally project monterey is one of my favorites for sure in terms of what it's going to do not just for that common cloud experience but for the edge and and we talked a lot about the edge today and where that's headed you think it's going to explode up new apps i really do think so well it's going to put you in a new it's going to put in curve yeah absolutely right and operationally uh security wise um from a modern apps perspective i mean all it checks all the boxes and it's going to allow us to to help and take our existing customers on that journey as well what's great about this conversation we've been following both you guys for a long time and your companies and and technology upgrades and and the business impact and open source and all doing all this for customers but the wave that's coming we're seeing the expo hall here i mean it's people are really excited they're enthused they're committed highly confident that this this wave is coming they kind of see it people kind of seeing the fog lift they're seeing money making value creation people kind of feeling more comfortable but still a little nervous around you know what's coming next because it's still uncertainty but pretty good ecosystem i'd have to say that's pretty pretty interesting yeah a lot of them are excited about you know what they can do at the edge and how they can differentiate their businesses i mean that's right well congratulations guys thanks for coming on thecube and sharing the update thank you it more innovation it's not stopping here at vmware explorer dell and vm we're continuing to have that kind of relationship joint engineering it's all coming together and you can mix and match this and the stack but it's ultimately going to be cloud operations edge is the action of course hybrid cloud as well it's thecube thanks for watching [Music] you

>>From around the globe. It's the queue with digital coverage of Dell technologies, world digital experience brought to you by Dell technologies. >>Hi, welcome to the cubes coverage of Dell technologies, world 2020, the virtual experience. I am Lisa Martin and I've got a couple of guests joining me. One of them is a longtime cube alumni. John Siegel is back the VP of product marketing for Dell technologies. John, it's great to see you. >>Great to be back. Thank you. >>And also joining us is Troy Massey the director of enterprise engagements from iron bow technologies. Troy, welcome to the cube. >>Hi, thank you. Grabbed him. >>So we're going to be talking about VxRail, how it's driving the future of HCI to the edge, but first let's get choice perspective. I would like the audience to understand who iron bow technologies is and what you do. And then we'll kind of look at it as what you're doing with the extra rail, as well as your channel partner business with Dell technologies. So Troy, take it away. >>Hi. Yeah. So, uh, Iron Bow is a global company. We're a value added reseller, uh, having partnered with Dell. Um, we have people physically living from Europe all the way through in Korea, um, from kind of based the globe, uh, primarily in wherever there's DOD or federal government agencies. >>And tell me about from a channel partner perspective, what you guys are doing together. >>Yeah, so we have a lot of efforts going on channel partner together, uh, specifically, uh, Iron target is, is a huge effort to where we're doing together. Uh, it's a on prem cloud, uh, that's uh, it's basis, VxRail VMware Cloud foundation on top, uh, with Intel all throughout. So there's an Intel Xeon processors and, uh, Optane drives. Uh, so just the perfect elegant OnPrem cloud, hybrid cloud solution that Dell and Iron Bow are driving together. >>So let's talk about the edge, cause a big focus of Dell technologies world this year is about the edge. How do you see Troy iron bow extending services to the edge and what do you anticipate from your customers in terms of what their needs are as they're changing? >>Great, great question. So, um, for one, I've gotta talk a little bit about what the edge and what the edges and the edges different things to different people. So I'm going to explain a little bit of the edge and what we're seeing and, and the federal government. So I'll give you one example and that's, um, uh, you know,  the air force reserves. So they have a, uh, an entire squadron that does all of the firefighting, uh, the large fires you see across California or whatever states engulfed in fires that year, um, where they take an entire squadron of airplanes out when they sort of water overall, the whole fire, uh, they don't just bring planes. They entire squatters military personnel to help communicate with the police and with the local fire and all of that takes information. So they need to bring information data with them. Is there a building over there? Do people live over there where we got to actually concentrate on site on fighting that fire priority-wise so it doesn't make a lot of sense to try to do that remotely over satellite it's large, large chunks of data that needs to be local to the customer. So, um, VxRail is, is the power beast of the HCI world VxRail at that edge provides them with the performance they need to get that job done. >>I think that's going to be a new new segment here in Silicon Valley. That thinking about all the fires we've had, and it's really VxRail at the edge, that's helping fight the fires. That's not something I knew. So thanks for sharing that. >>So there's all kinds of workings in that area, same deal. They need to know where to go rescue those people and it's all data. >>Exactly. And it's gotta be data that's that, as you said, it was not delayed sent over the wire, but obviously being able to be transmitted in real time so that actions can be taken, which is one of the things we talk about with data all the time. You have to be able to get the insight and act on it quickly. So, so John, the theme of this year's virtual Dell technologies world is the edge is a big part of the theme. So talk to us about driving the future of HCI at the edge with VxRail, how there's been a lot of growth, I think 9,600 plus customers so far. So talk to us about the future of HCI at the edge with VxRail as a driver. >>Absolutely. So first of all, I want to thank iron bow for being one of our nearly 10,000 customers for VxRail. Um, and you know, absolutely. So, you know, overall the edge is going to be a major theme for Dell tech world this week. Uh, and specifically for VxRail. Um, we of course continue to play with VxRail, a key role in modernizing data centers, uh, as well as hybrid cloud. And this week really wanted to highlight some of the recent innovations we have around extending the simplified operations of VxRail that many like, uh, iron bow and others are experiencing today in the core, uh, are in the cloud and extending those, that automation to the edge. Um, and you heard a lot about what the edge can do in the end and the implications and the value of the edge. Um, while we have lots of customers today, um, including IMO that are using VxRail at their edge locations, uh, we have others like large retail, uh, home improvement chains, financial institutions. Um, we expect the edge to soon explode. Um, we like to think that, uh, we are at the edge of the edge opportunity, um, in >>It in fact, IDC recently stated that by 2023, over 50% of new enterprise data that is generated is going to be generated outside the core data center and outside the cloud. That's up front 10% today. So this is, this is massive, um, edge locations. Um, of course come with their own challenges, whether it's sometimes less than ideal conditions around power and cooling, or they may not have typically, um, skilled it staff at the edge, right? So they, they need, they need new special configuration. They need operational efficiencies. And I think VxRail is uniquely positioned to help address that. >>Let's kind of dig into those operational challenges because in the last seven months, so much of what we all do has become remote and a good amount of that is going to be probably permanent. Right. So when you think about the volume of remote devices that VxRail could potentially manage, John, how, how do you see  VxRail being able to help in this sort of very distributed environment that might be very well much permanent? >>Yeah, I know. And like you said, it's going to just grow and grow the distributed environment and what that means for each company might be slightly different, but regardless what they do need to seamless operations across all of those different edge locations, um, and a, again, a big focus for us. So we're really doing three things to extend the, the automated operations of VxRail to the edge and doing so at scale. Uh, the first thing I want to say, talk about is that we did on avail just two VxRail platforms designed specifically for the edge, uh, the new VxRail E-Series, which is ideal for remote office locations, where space is limited. Um, the remote, uh, the VxRail D series, I think of D as in durable, uh, this is our ruggedized platform, uh, built from the ground up for harsh environments, you know, such as the DOD environments, like in the, um, in the desert. >>Um, and both of these VxRail platforms are fully automated. They automate everything from deployment to expansions to, to lifecycle management overall. Um, and now what we're doing now with extending that automation is the second thing we doing, uh, you know, to the edge from an operational perspective. And what we're doing first and foremost is we are introducing a new software as a service multi cluster management. Uh, this is part of the VxRail HCI system software that we deliver today as part of the VxRail. Uh, this not only provides a global view of the infrastructure performance, um, and capacity analysis across all the locations, but even more importantly, it actively ensures that all the clusters and the remote locate locations always stay in a continuously validated state. This means that it can automatically determine which software components need to be upgraded. Um, you know, and also automatically execute the full stack upgrades, right? >>Without any technical expertise at the site, it can be done centrally, further automating the lifecycle management process and process that we do, uh, at the core and the cloud, and now extending to the edge. So, yeah, imagine the operational efficiencies for customers with tens or hundreds or even thousands of edge sites. So this is we think truly a game changer from that perspective. And then in addition to that, we're also adding, uh, the support for BCS on VxRail. So, uh, just at VM world just a couple of weeks ago, uh, VMware announced, uh, remote edge cluster support for VCF. Uh, so those customers that run run BCF on VxRail now can get the, the, they can enjoy a consistent cloud operating model, um, you know, for those edge locations. So, you know, in summary, you're getting consistency, you're getting automation regardless of where your VxRail is located. >>And this is something that I saw in the notes. John is described as a curated experience. Can you describe what that is if I think of reference architectures and things of that, what is a curated experience and how is it different? >>Yeah,  a curated experience for VxRail...  really what it is it's about seamless. Uh, it it's about we, we have taken the burden if you will, of integrating infrastructure off of the customer's shoulders and onto ours, right? So what we do is we ensure VxRail is in fact, the only, um, jointly engineered HCI system in the market, that's doing the engineering with VMware, for VMware to enhance VMware environments. Uh, and so what we've done is we, uh, we have a pre-integrated, uh, full stack experience that we're providing the customer from deployment, uh, to, uh, again, to everyday operations, to making changes, et cetera. Uh, we've essentially what we've done here, um, is that we've, we've taken again, that, that burden off of customers, uh, and allowed them to spend more time innovating, uh, and less, you know, less time integrating >>That sounds good to everyone, right? Simplifying less time to troubleshoot more time to be able to be strategic and innovative, especially in such a rapidly changing world toy overview now, Oh, go ahead, John, >>To add to that, you know, we've seen a real acceleration this year to digital transformation, to your point earlier, just with remote everything. And I think a lot of the projects, and so including a shift that we've seen to consuming infrastructure overall, whether, you know, and that's, that's the, the onset of the cloud and wherever that cloud might be, right. It could be on prem, could it be on premises, could be off premises. Um, and so, you know, that focused on consuming infrastructure versus in that preference for consuming infrastructure versus building and maintaining it, that's something that we're going to continue to see accelerate over time. >>You're right. That digital transformation acceleration has been one of the biggest topics in the last seven months and looking at which businesses really are set up and have the foundation and the culture to be able to make those changes quickly, to not just survive in this environment, but win tomorrow. So talk over to you for a second, in terms of, of the edge. What are your thoughts on as a partner, with VxRail, you've got a solution built on it. What are your thoughts about what VxRail is going to be able to deliver, enable you to deliver at the edge? You know, you gave us that great example of the air force reserve, but what our iron bows thoughts there, what do you envision going forward? >>He talks about tens, hundreds, thousands of different sites that all need their data, they all need process and compute but those types of sites don't necessarily need to have and IT on staff at those sites, a great example is the army Corps of engineers. They have to have one or two people out at every dam to monitor the dam, but that mean it justifies an IT staffer out there with them. So the idea to remotely manage that VxRail, they're just industry leaders in the ability to deploy this  somewhere where there's not an it person and be able to manage it, but not just manage it, predictive analysis on when they're starting to run out of storage , give alerts so that we can start the upgrade. >>John talked to us about the engagement that you're expecting your customers to have with Dell technologies during this virtual event. >>Absolutely. I think so. First of all, um, yeah, virtual is different, but there's lot of advantages to that. Um, one of them is that we can have, um, an ongoing dialogue during, uh, a number of the sessions that we have, why some of the sessions might be prerecorded. There are alive chats all the way through, including a number of breakouts on VxRail, specifically, uh, as well as the edge, as well as a number of different, um, topics that you can imagine. Um, we've also just launched a new game, a fun game, uh, from mobile called data center sin, um, where, uh, customers can have some fun, uh, learning about VxRail, uh, the experience that takes and balancing the budget and staffing and capacity, uh, to address the needs of the business. So, uh, we're always looking for fun and engaging ways to experience, experience the real life benefits of our HCI platforms, such as VxRail. And, um, so customers can, uh, check that out as well, um, by searching their app store of choice for Dell technologies, data center, sin, uh, and have at it and have some fun. But again, whether it's playing the game online through it, I've met the reality experience or it's, um, you know, connecting directly with any of our subject matter experts. Um, there's going to be a lot of opportunity, uh, to learn more about how VxRail and ACI can help our customers thrive. >>Excellent. I like that game idea. Well, Troy, John, thank you for joining me today and letting me know what you guys are doing with the VxRail what's coming with the edge and the fact that they use cases are just going to proliferate. We appreciate your time. Thank you as well for my guests. I'm Lisa Martin. You're watching the cubes coverage of Dell technologies world 2020.

>> From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE. Now, here's your host, Dave Vellante. >> Hi, Dave Vellante here, with John Siegel, Vice President of product marketing at Dell EMC. John, what does it mean to be a leader in hyperconversion infrastructure? >> First of all, thanks for asking. It's been quite a year, 2017, for us. Just this past quarter, we became the leader, Dell EMC did, and the number one leader in hyperconversion infrastructure, and we want to thank, certainly, our customers out there, as well, We think it was also due to the fact that we have a full portfolio at HCI, and really strong partnerships with folks like the VMware. >> OK, so, how about workload progression? VDI was really sort of the initial sweet spot, it's true, of hyperconversion. Has it evolved, and how has it evolved? >> It has evolved quite a bit, really, I think over the past coupl years we've seen it evolve from HCI really addressing, like you said, VDI workloads, small consolidation-type projects, text EV, really, to a majority of virtualized workloads in the data center. In fact, with the announcement this week, with the support now of 14th generation PowerEdged servers, we think we've taken it to another level where, because of 14th generation power servers, we have the ability to now provide the power, if you will. The performance, and the predictable performance in particular, that workloads require, mission-critical workloads require in the data center. >> OK, so we've ticked the performance box. What about the economics piece? How is hyperconversion infrastructure helping IT operations lower cost? >> Ya know, it's I think that's one of the main reasons that HCI crossed the chasm in the past year. It's because it's become a no-brainer, from an economics perspective. As customers look to transform IT and move away from traditional IT, the TCO advantage relative to traditional IT is 30-40%. I mean, you name it. I think Wikibon's done a number of studies this year, as well. I mean, you name it, across the board. So, it's really become a no-brainer there. And it's also become very compelling relative to public cloud, as well. The on-prem model. So, if you look at whether it's traditional IT, or whether you look at public cloud, I think what we're finding now is true private cloud built on, if you will, HCI portfolio is becoming a compelling way for customers to transform their data center, and to build on top of that cloud-operating model. >> OK, so speaking of public cloud, what's Dell EMC's point of view on cloud generally? >> So, our view is that the cloud is an operating model. It's not a place. So, really, what it's all about is providing that turn-key, self service-type experience, regardless of where your data is, if you will. Whether it's off-prem, whether it's on-prem, I mean, clearly, we don't have a strong opinion of that, other than that we want to make the on-prem experience as cloud-like as possible, and we think that starts with a critical foundation of HCI. >> OK, John. You mentioned PowerEdged servers before, a lot of people say it's just servers, it's a commodity, what say you? >> I'll tell you what. So, first of all, HCI is defined by software, right? And then I think we've talked about in the past, but it's really the combination of software with hardware that really delivers that turn-key outcome that customers expect when it comes to hyperconversed infrastructure. And this announcement is really about that combination of software and hardware, and the hardware, in particular, is the star of the show. It's 14th generation PowerEdged servers. What this brings to the table is powerful, predictable performance, first and foremost. The ability, now, to support mission-critical workloads. This is something that we haven't had the ability to really do before in the past. It can now support mission-critical workloads in the data center, first and foremost. So, it's powerful from that perspective. It's purposeful, in that it can now support any configuration. We actually can support up to 20 million different configurations, I'm not kidding here, when it comes to PowerEdged configurations with VXRail, as an example. And PowerEdged, 14th generation servers are actually purpose-built for HCI. They're addressing over 150 different customer requirements out there, from performance, to reliability, to manageability, to deployment, because, typically, a commodity server's really built as a compute engine. Instead, what PowerEdge servers are about, the 14th generation ones, is they're really, literally, custom-built for HCI, and that's why we think this is going to help take HCI to a whole new level, and allow customers to now start to deploy HCI across their data center to build that foundation for the cloud. >> Excellent. I think you nailed it. To give you the last word, just maybe summarize the announcement, final thoughts, HCI, wherever you want to go. >> I'll tell you what. I mean, we're just so excited. I think HCI has, as I said, become the foundation for the cloud. And, we've got a full portfolio. We give customers choice. You know, regardless of the type of use case they have, regardless of the type of workload they have, we have an HCI answer for our customers. Some customers, for example, want to start small and grow with appliances, others want to actually transform their network, as well. So, we have VxRack, as an example, there, where customers that want to transform more of the stack. We're excited to have that as an option for customers, too. So really, across the board, we're providing anything from Ready Nodes, where customers can do a little more of the work themselves, to appliances like VXRail and Xe series, where it's a turnkey experience across a server the compute and storage, all the way up to VxRacks, where we're making the entire data center, if you will, turnkey, as a foundation for that cloud-operating model. >> OK, awesome. Let's see, I lied. Last word is mine. CrowdChat on December 1, where it's kind of an ask me anything on the announcement. >> Ask me, ask Chad, ask whoever anything. >> Great, and then where do people go to get more information? >> Dellemc.com/HCI. We keep it simple, my friend. >> That's great. John, thanks very much. Appreciate ya comin. All right, thanks for watching, everybody. We'll see ya next time. (upbeat music)

(quite music) >> I'll open that while he does that. >> Co-Host: Good, perfect. >> Man: All right, rock and roll. >> This is Robin Matlock, the CMO of VMware, and you're watching theCUBE. >> This is John Siegel of VPA Product Marketing at Dell EMC. You're watching theCUBE. >> This is Matthew Morgan, I'm the chief marketing officer at Druva and you are watching theCUBE. >> Announcer: Live from midtown Manhattan, it's theCUBE. Covering BigData New York City 2017. Brought to you by SiliconANGLE Media and its ecosystem sponsors. (rippling music) >> Hello, everyone, welcome to a special CUBE live presentation here in New York City for theCUBE's coverage of BigData NYC. This is where all the action's happening in the big data world, machine learning, AI, the cloud, all kind of coming together. This is our fifth year doing BigData NYC. We've been covering the Hadoop ecosystem, Hadoop World, since 2010, it's our eighth year really at ground zero for the Hadoop, now the BigData, now the Data Market. We're doing this also in conjunction with Strata Data, which was Strata Hadoop. That's a separate event with O'Reilly Media, we are not part of that, we do our own event, our fifth year doing our own event, we bring in all the thought leaders. We bring all the influencers, meaning the entrepreneurs, the CEOs to get the real story about what's happening in the ecosystem. And of course, we do it with our analyst at Wikibon.com. I'm John Furrier with my cohost, Jim Kobielus, who's the chief analyst for our data piece. Lead analyst Jim, you know the data world's changed. We had commenting yesterday all up on YouTube.com/SiliconAngle. Day one was really set the table. And we kind of get the whiff of what's happening, we can kind of feel the trend, we got a finger on the pulse. Two things going on, two big notable stories is the world's continuing to expand around community and hybrid data and all these cool new data architectures, and the second kind of substory is the O'Reilly show has become basically a marketing. They're making millions of dollars over there. A lot of people were, last night, kind of not happy about that, and what's giving back to the community. So, again, the community theme is still resonating strong. You're starting to see that move into the corporate enterprise, which you're covering. What are you finding out, what did you hear last night, what are you hearing in the hallways? What is kind of the tea leaves that you're reading? What are some of the things you're seeing here? >> Well, all things hybrid. I mean, first of all it's building hybrid applications for hybrid cloud environments and there's various layers to that. So yesterday on theCUBE we had, for example, one layer is hybrid semantic virtualization labels are critically important for bridging workloads and microservices and data across public and private clouds. We had, from AtScale, we had Bruno Aziza and one of his customers discussing what they're doing. I'm hearing a fair amount of this venerable topic of semantic data virtualization become even more important now in the era of hybrid clouds. That's a fair amount of the scuttlebutt in the hallway and atrium talks that I participated in. Also yesterday from BMC we had Basil Faruqi talking about basically talking about automating data pipelines. There are data pipelines in hybrid environments. Very, very important for DevOps, productionizing these hybrid applications for these new multi-cloud environments. That's quite important. Hybrid data platforms of all sorts. Yesterday we had from ActIn Jeff Veis discussing their portfolio for on-prem, public cloud, putting the data in various places, and speeding up the queries and so forth. So hybrid data platforms are going increasingly streaming in real time. What I'm getting is that what I'm hearing is more and more of a layering of these hybrid environments is a critical concern for enterprises trying to put all this stuff together, and future-proof it so they can add on all the new stuff. That's coming along like cirrus clouds, without breaking interoperability, and without having to change code. Just plug and play in a massively multi-cloud environment. >> You know, and also I'm critical of a lot of things that are going on. 'Cause to your point, the reason why I'm kind of critical on the O'Reilly show and particularly the hype factor going on in some areas is two kinds of trends I'm seeing with respect to the owners of some of the companies. You have one camp that are kind of groping for solutions, and you'll see that with they're whitewashing new announcements, this is going on here. It's really kind of-- >> Jim: I think it's AI now, by the way. >> And they're AI-washing it, but you can, the tell sign is they're always kind of doing a magic trick of some type of new announcement, something's happening, you got to look underneath that, and say where is the deal for the customers? And you brought this up yesterday with Peter Burris, which is the business side of it is really the conversation now. It's not about the speeds and feeds and the cluster management, it's certainly important, and those solutions are maturing. That came up yesterday. The other thing that you brought up yesterday I thought was notable was the real emphasis on the data science side of it. And it's that it's still not easy or data science to do their job. And this is where you're seeing productivity conversations come up with data science. So, really the emphasis at the end of the day boils down to this. If you don't have any meat on the bone, you don't have a solution that rubber hits the road where you can come in and provide a tangible benefit to a company, an enterprise, then it's probably not going to work out. And we kind of had that tool conversation, you know, as people start to grow. And so as buyers out there, they got to look, and kind of squint through it saying where's the real deal? So that kind of brings up what's next? Who's winning, how do you as an analyst look at the playing field and say, that's good, that's got traction, that's winning, mm not too sure? What's your analysis, how do you tell the winners from the losers, and what's your take on this from the data science lens? >> Well, first of all you can tell the winners when they have an ample number of referenced customers who are doing interesting things. Interesting enough to get a jaded analyst to pay attention. Doing something that changes the fabric of work or life, whatever, clearly. Solution providers who can provide that are, they have all the hallmarks of a winner meaning they're making money, and they're likely to grow and so forth. But also the hallmarks of a winner are those, in many ways, who have a vision and catalyze an ecosystem around that vision of something that could be made, possibly be done before but not quite as efficiently. So you know, for example, now the way what we're seeing now in the whole AI space, deep learning, is, you know, AI means many things. The core right now, in terms of the buzzy stuff is deep learning for being able to process real time streams of video, images and so forth. And so, what we're seeing now is that the vendors who appear to be on the verge of being winners are those who use deep learning inside some new innovation that has enough, that appeals to a potential mass market. It's something you put on your, like an app or something you put on your smart phone, or it's something you buy at Walmart, install in your house. You know, the whole notion of clearly Alexa, and all that stuff. Anything that takes chatbot technology, really deep learning powers chatbots, and is able to drive a conversational UI into things that you wouldn't normally expect to talk to you and does it well in a way that people have to have that. Those are the vendors that I'm looking for, in terms of those are the ones that are going to make a ton of money selling to a mass market, and possibly, and very much once they go there, they're building out a revenue stream and a business model that they can conceivably take into other markets, especially business markets. You know, like Amazon, 20-something years ago when they got started in the consumer space as the exemplar of web retailing, who expected them 20 years later to be a powerhouse provider of business cloud services? You know, so we're looking for the Amazons of the world that can take something as silly as a conversational UI inside of a, driven by DL, inside of a consumer appliance and 20 years from now, maybe even sooner, become a business powerhouse. So that's what's new. >> Yeah, the thing that comes up that I want to get your thoughts on is that we've seen data integration become a continuing theme. The other thing about the community play here is you start to see customers align with syndicates or partnerships, and I think it's always been great to have customer traction, but, as you pointed out, as a benchmark. But now you're starting to see the partner equation, because this isn't open, decentralized, distributed internet these days. And it is looking like it's going to form differently than they way it was, than the web days and with mobile and connected devices it IoT and AI. A whole new infrastructure's developing, so you're starting to see people align with partnerships. So I think that's something that's signaling to me that the partnership is amping up. I think the people are partnering more. We've had Hortonworks on with IBM, people are partner, some people take a Switzerland approach where they partner with everyone. You had, WANdisco partners with all the cloud guys, I mean, they have unique ITP. So you have this model where you got to go out, do something, but you can't do it alone. Open source is a key part of this, so obviously that's part of the collaboration. This is a key thing. And then they're going to check off the boxes. Data integration, deep learning is a new way to kind of dig deeper. So the question I have for you is, the impact on developers, 'cause if you can connect the dots between open source, 90% of the software written will be already open source, 10% differentiated, and then the role of how people going to market with the enterprise of a partnership, you can almost connect the dots and saying it's kind of a community approach. So that leaves the question, what is the impact to developers? >> Well the impact to developers, first of all, is when you go to a community approach, and like some big players are going more community and partnership-oriented in hot new areas like if you look at some of the recent announcements in chatbots and those technologies, we have sort of a rapprochement between Microsoft and Facebook and so forth, or Microsoft and AWS. The impact for developers is that there's convergence among the companies that might have competed to the death in particular hot new areas, like you know, like I said, chatbot-enabled apps for mobile scenarios. And so it cuts short the platform wars fairly quickly, harmonizes around a common set of APIs for accessing a variety of competing offerings that really overlap functionally in many ways. For developers, it's simplification around a broader ecosystem where it's not so much competition on the underlying open source technologies, it's now competition to see who penetrates the mass market with actually valuable solutions that leverage one or more of those erstwhile competitors into some broader synthesis. You know, for example, the whole ramp up to the future of self-driving vehicles, and it's not clear who's going to dominate there. Will it be the vehicle manufacturers that are equipping their cars with all manner of computerized everything to do whatnot? Or will it be the up-and-comers? Will it be the computer companies like Apple and Microsoft and others who get real deep and invest fairly heavily in self-driving vehicle technology, and become themselves the new generation of automakers in the future? So, what we're getting is that going forward, developers want to see these big industry segments converge fairly rapidly around broader ecosystems, where it's not clear who will be the dominate player in 10 years. The developers don't really care, as long as there is consolidation around a common framework to which they can develop fairly soon. >> And open source is obviously a key role in this, and how is deep learning impacting some of the contributions that are being made, because we're starting to see the competitive advantage in collaboration on the community side is with the contributions from companies. For example, you mentioned TensorFlow multiple times yesterday from Google. I mean, that's a great contribution. If you're a young kind coming into the developer community, I mean, this is not normal. It wasn't like this before. People just weren't donating massive libraries of great stuff already pre-packaged, So all new dynamics emerging. Is that putting pressure on Amazon, is that putting pressure on AWS and others? >> It is. First of all, there is a fair amount of, I wouldn't call it first-mover advantage for TensorFlow, there've been a number of DL toolkits on the market, open source, for the last several years. But they achieved the deepest and broadest adoption most rapidly, and now they are a, TensorFlow is essentially a defacto standard in the way, that we just go back, betraying my age, 30, 40 years ago where you had two companies called SAS and SPSS that quickly established themselves as the go-to statistical modeling tools. And then they got a generation, our generation, of developers, or at least of data scientists, what became known as data scientists, to standardize around you're either going to go with SAS or SPSS if you're going to do data mining. Cut ahead to the 2010s now. The new generation of statistical modelers, it's all things DL and machine learning. And so SAS versus SPSS is ages ago, those companies are, those products still exist. But now, what are you going to get hooked on in school? What are you going to get hooked on in high school, for that matter, when you're just hobby-shopping DL? You'll probably get hooked on TensorFlow, 'cause they have the deepest and the broadest open source community where you learn this stuff. You learn the tools of the trade, you adopt that tool, and everybody else in your environment is using that tool, and you got to get up to speed. So the fact is, that broad adoption early on in a hot new area like DL, means tons. It means that essentially TensorFlow is the new Spark, where Spark, you know, once again, Spark just in the past five years came out real fast. And it's been eclipsed, as it were, on the stack of cool by TensorFlow. But it's a deepening stack of open source offerings. So the new generation of developers with data science workbenches, they just assume that there's Spark, and they're going to increasingly assume that there's TensorFlow in there. They're going to increasingly assume that there are the libraries and algorithms and models and so forth that are floating around in the open source space that they can use to bootstrap themselves fairly quickly. >> This is a real issue in the open source community which we talked, when we were in LA for the Open Source Summit, was exactly that. Is that, there are some projects that become fashionable, so for example, a cloud-native foundation, very relevant but also hot, really hot right now. A lot of people are jumping on board the cloud natives bandwagon, and rightfully so. A lot of work to be done there, and a lot of things to harvest from that growth. However, the boring blocking and tackling projects don't get all the fanfare but are still super relevant, so there's a real challenge of how do you nurture these awesome projects that we don't want to become like a nightclub where nobody goes anymore because it's not fashionable. Some of these open source projects are super important and have massive traction, but they're not as sexy, or flair-ish as some of that. >> Dl is not as sexy, or machine learning, for that matter, not as sexy as you would think if you're actually doing it, because the grunt work, John, as we know for any statistical modeling exercise, is data ingestion and preparation and so forth. That's 75% of the challenge for deep learning as well. But also for deep learning and machine learning, training the models that you build is where the rubber meets the road. You can't have a really strongly predictive DL model in terms of face recognition unless you train it against a fair amount of actual face data, whatever it is. And it takes a long time to train these models. That's what you hear constantly. I heard this constantly in the atrium talking-- >> Well that's a data challenge, is you need models that are adapting and you need real time, and I think-- >> Oh, here-- >> This points to the real new way of doing things, it's not yesterday's model. It's constantly evolving. >> Yeah, and that relates to something I read this morning or maybe it was last night, that Microsoft has made a huge investment in AI and deep learning machinery. They're doing amazing things. And one of the strategic advantages they have as a large, established solution provider with a search engine, Bing, is that from what I've been, this is something I read, I haven't talked to Microsoft in the last few hours to confirm this, that Bing is a source of training data that they're using for machine learning and I guess deep learning modeling for their own solutions or within their ecosystem. That actually makes a lot of sense. I mean, Google uses YouTube videos heavily in its deep learning for training data. So there's the whole issue of if you're a pipsqueak developer, some, you know, I'm sorry, this sounds patronizing. Some pimply-faced kid in high school who wants to get real deep on TensorFlow and start building and tuning these awesome kickass models to do face recognition, or whatever it might be. Where are you going to get your training data from? Well, there's plenty of open source database, or training databases out there you can use, but it's what everybody's using. So, there's sourcing the training data, there's labeling the training data, that's human-intensive, you need human beings to label it. There was a funny recent episode, or maybe it was a last-season episode of Silicone Valley that was all about machine learning and building and training models. It was the hot dog, not hot dog episode, it was so funny. They bamboozle a class on the show, fictionally. They bamboozle a class of college students to provide training data and to label the training data for this AI algorithm, it was hilarious. But where are you going to get the data? Where are you going to label it? >> Lot more work to do, that's basically what you're getting at. >> Jim: It's DevOps, you know, but it's grunt work. >> Well, we're going to kick off day two here. This is the SiliconeANGLE Media theCUBE, our fifth year doing our own event separate from O'Reilly media but in conjunction with their event in New York City. It's gotten much bigger here in New York City. We call it BigData NYC, that's the hashtag. Follow us on Twitter, I'm John Furrier, Jim Kobielus, we're here all day, we've got Peter Burris joining us later, head of research for Wikibon, and we've got great guests coming up, stay with us, be back with more after this short break. (rippling music)