(soft joyful music) >> Welcome back everyone to the live CUBE coverage here in San Francisco for VMware Explore '22. I'm John Furrier with my host Dave Vellante. Three days of wall to wall live coverage. Two sets here at the CUBE, here on the ground floor in Moscone, and we got VMware and HPE back on the CUBE. Paul Turner, VP of products at vSphere and cloud infrastructure at VMware. Great to see you. And Mark Nickerson, Director of Go to Mark for Compute Solutions at Hewlett-Packard Enterprise. Great to see you guys. Thanks for coming on. >> Yeah. >> Thank you for having us. >> So we, we are seeing a lot of traction with GreenLake, congratulations over there at HPE. The customers changing their business model consumption, starting to see that accelerate. You guys have the deep partnership, we've had you guys on earlier yesterday. Talked about the technology partnership. Now, on the business side, where's the action at with the HP and you guys with the customer? Because, now as they go cloud native, third phase of the inflection point, >> Yep. >> Multi-cloud, hybrid-cloud, steady state. Where's the action at? >> So I think the action comes in a couple of places. Um, one, we see increased scrutiny around, kind of not only the cost model and the reasons for moving to GreenLake that we've all talked about there, but it's really the operational efficiencies as well. And, this is an area where the long term partnership with VMware has really been a huge benefit. We've actually done a lot of joint engineering over the years, continuing to do that co-development as we bring products like Project Monterey, or next generations of VCF solutions, to live in a GreenLake environment. That's an area where customers not only see the benefits of GreenLake from a business standpoint, um, on a consumption model, but also around the efficiency operationally as well. >> Paul, I want to, I want to bring up something that we always talk about on the CUBE, which is experience in the enterprise. Usually it's around, you know, technology strategy, making the right product market fit, but HPE and VMware, I mean, have exceptional depth and experience in the enterprise. You guys have a huge customer base, doesn't churn much, steady state there, you got vSphere, killer product, with a new release coming out, HP, unprecedented, great sales force. Everyone knows that you guys have great experience serving customers. And, it seems like now the fog is clearing, we're seeing clear line of sight into value proposition, you know, what it's worth, how do you make money with it, how do partners make money? So, it seems like the puzzle's coming together right now with consumption, self-service, developer focus. It just seems to be clicking. What's your take on all this because... >> Oh, absolutely. >> you got that engine there at VMware. >> Yeah. I think what customers are looking for, customers want that cloud kind of experience, but they want it on their terms. So, the work that we're actually doing with the GreenLake offerings that we've done, we've released, of course, our subscription offerings that go along with that. But, so, customers can now get cloud on their terms. They can get systems services. They know that they've got the confidence that we have integrated those services really well. We look at something like vSphere 8, we just released it, right? Well, immediately, day zero, we come out, we've got trusted integrated servers from HPE, Mark and his team have done a phenomenal job. We make sure that it's not just the vSphere releases but VSAN and we get VSAN ready nodes available. So, the customers get that trusted side of things. And, you know, just think about it. We've... 200,000 joined customers. >> Yeah, that's a lot. >> We've a hundred thousand kind of enabled partners out there. We've an enormous kind of install base of customers. But also, those customers want us to modernize. And, you know, the fact that we can do that with GreenLake, and then of course with our new features, and our new releases. >> Yeah. And it's nice that the products market fits going well on both sides. But can you guys share, both of you share, the cadence of the relationship? I mean, we're talking about vSphere, every two years, a major release. Now since 6, vSphere 6, you guys are doing three months' releases, which is amazing. So you guys got your act together there, doing great. But, you guys, so many joint customers, what's the cadence? As stuff comes out, how do you guys put that together? How tightly integrated? Can you share a quick... insight into that dynamic? >> Yeah, sure. So, I mean Mark can and add to this too, but the teams actually work very closely, where it's every release that we do is jointly qualified. So that's a really, really important thing. But it's more interesting is this... the innovation side of things. Right? If you just think about it, 'cause it's no use to just qualify. That's not that interesting. But, like I said, we've released with vSphere 8 you know... the new enhanced storage architecture. All right? The new, next generation of vSphere. We've got that immediately qualified, ready on HPE equipment. We built out new AI servers, actually with Invidia and with HPE. And, we're able to actually push the extremes of... AI and intelligence... on systems. So that's kind of work. And then, of course, our Project Monterey work. Project Monterey Distributed Services Engine. That's something we're really excited about, because we're not just building a new server anymore, we're actually going to change the way servers are built. Monterey gives us a new platform to build from that we're actually jointly working. >> So double click on that, and then to explain how HPE is taking advantage of it. I mean, obvious you have more diversity of XPU's, you've got isolation, you've got now better security, and confidential computing, all that stuff. Explain that in some detail, and how does HPE take advantage of that? >> Yeah, definitely. So, if you think about vSphere 8, vSphere 8 I can now virtualize anything. I can virtualize your CPU's, your GPU's, and now what we call DPU's, or data processing units. A data processing unit, it's... think of it as we're running, actually, effectively another version of ESX, sitting down on this processor. But, that gives us an ability to run applications, and some of the virtualization services, actually down on that DPU. It's separated away from where you run your application. So, all your applications get to consume all your CPU. It's all available to you. Your DPU is used for that virtualization and virtualization services. And that's what we've done. We've been working with HPE and HPE and Pensando. Maybe you can talk some of the new systems that we've built around this too. >> Yeah. So, I mean, that's one of the... you talked about the cadence and that... back to the cadence question real briefly. Paul hit on it. Yeah, there's a certain element of, "Let's make sure that we're certified, we're qualified, we're there day zero." But, that cadence goes a lot beyond it. And, I think Project Monterey is a great example of where that cadence expands into really understanding the solutioning that goes into what the customer's expecting from us. So, to Paul's point, yeah, we could have just qualified the ESX version to go run on a DPU and put that in the market and said, "Okay, great. Customers, We know that it works." We've actually worked very tightly with VMware to really understand the use case, what the customer needs out of that operating environment, and then provide, in the first instantiation, three very discrete product solutions aimed at different use cases, whether that's a more robust use case for customers who are looking at data intensive, analytic intensive, environments, other customers might be looking at VDI or even edge applications. And so, we've worked really closely with VMware to engineer solutions specific to those use cases, not just to a qualification of an operating environment, not just a qualification of certain software stack, but really into an understanding of the use case, the customer solution, and how we take that to market with a very distinct point of view alongside our partners. >> And you can configure the processors based on that workload. Is that right? And match the workload characteristics with the infrastructure is that what I'm getting? >> You do, and actually, well, you've got the same flexibility that we've actually built in why you love virtualization, why people love it, right? You've got the ability to kind of bring harness hardware towards your application needs in a very dynamic way. Right? So if you even think about what we built in vSphere 8 from an AI point of view, we're able to scale. We built the ability to actually take network device cards, and GPU cards, you're to able to build those into a kind of composed device. And, you're able to provision those as you're provisioning out VM's. And, the cool thing about that, is you want to be able to get extreme IO performance when you're doing deep learning applications, and you can now do that, and you can do it very dynamically, as part of the provisioning. So, that's the kind of stuff. You've got to really think, like, what's the use case? What's the applications? How do we build it? And, for the DPU side of things, yes, we've looked at how do we take some of our security services, some of our networking services, and we push those services down onto the SmartNIC. It frees up processors. I think the most interesting thing, that you probably saw on the keynote, was we did benchmarks with Reddit databases. We were seeing 20 plus, I'm sure the exact number, I think it was 27%, I have to get exact number, but a 27% latency improvement, to me... I came from the database background, latency's everything. Latency's king. It's not just... >> Well it's... it's number one conversation. >> I mean, we talk about multi-cloud, and as you start getting into hybrid. >> Right. >> Latency, data movement, efficiency, I mean, this is all in the workload mindset that the workhorses that you guys have been working at HPE with the compute, vSphere, this is heart center of the discussion. I mean, it is under the hood, and we're talking about the engine here, right? >> Sure. >> And people care about this stuff, Mark. This is like... Kubernetes only helps this better with containers. I mean, it's all kind of coming together. Where's that developer piece? 'Cause remember, infrastructure is code, what everybody wants. That's the reality. >> Right. Well, I think if you take a look at... at where the Genesis of the desire to have this capability came from, it came directly out of the fact that you take a look at the big cloud providers, and sure, the ability to have a part of that operating environment, separated out of the CPU, free up as much processing as you possibly can, but it was all in this very lockdown proprietary, can't touch it, can't develop on it. The big cloud guys owned it. VMware has come along and said, "Okay, we're going to democratize that. We're going to make this available for the masses. We're opening this up so that developers can optimize workloads, can optimize applications to run in this kind of environment." And so, really it's about bringing that cloud experience, that demand that customers have for that simplicity, that flexibility, that efficiency, and then marrying it with the agility and security of having your on premises or hybrid cloud environment. And VMware is kind of helping with that... >> That's resonating with the customer, I got to imagine. >> Yeah. >> What's the feedback you're hearing? When you talk to customers about that, the like, "Wait a minute, we'd have to like... How long is that going to take? 'Cause that sounds like a one off." >> Yeah. I'll tell you what... >> Everything is a one off now. You could do a one off. It scales. >> What I hear is give me more. We love where we're going in the first instantiation of what we can do with the Distributed Services Engine. We love what we're seeing. How do we do more? How do we drive more workloads in here? How do we get more efficiency? How can we take more of the overhead out of the CPU, free up more cores. And so, it's a tremendously positive response. And then, it's a response that's resonating with, "Love it. Give me more." >> Oh, if you're democratizing, I love that word because it means democratization, but someone's being democratized. Who's... What's... Something when... that means good things are happening, which means someone's not going to be winning out. Who's that? What... >> Well it, it's not necessarily that someone's not winning out. (laughs) What you read, it comes down to... Democratizing means you've got to look at it, making it widely available. It's available to all. And these things... >> No silos. No gatekeepers. Kind of that kind of thing. >> It's a little operationally difficult to use. You've got... Think about the DPU market. It was a divergent market with different vendors going into that market with different kind of operating systems, and that doesn't work. Right? You've got to actually go and virtualize those DPU's. So then, we can actually bring application innovation onto those DPU's. We can actually start using them in smart ways. We did the same thing with GPU's. We made them incredibly easy to use. We virtualized those GPU's, we're able to, you know, you can provision them in a very simple way. And, we did the same thing with Kubernetes. You mentioned about container based applications and modern apps in the one platform now, you can just set a cluster and you can just say, "Hey I want that as a modern apps enabled cluster." And boom. It's done. And, all of the configurations, set up, Kubernetes, it's done for you. >> But the thing that just GreenLake too, the democratization aspect of how that changed the business model unleashes... >> Right. >> ...efficiency and just simplicity. >> Oh yeah, absolutely. >> But the other thing was the 20% savings on the Reddit's benchmark, with no change required at the application level, correct? >> No change at the application level. In the vCenter, you have to set a little flag. >> Okay. You got to tick a box. >> You got to tick a little box... >> So I can live with that. But the point I'm making is that traditionally, we've had... We have an increasing amount of waste to do offloads, and now you're doing them much more efficiently, right? >> Yes. >> Instead of using the traditional x86 way of doing stuff, you're now doing purpose built, applying that to be much more efficient >> Totally agree. And I think it's becoming, it's going to become even more important. Look at, we are... our run times for our applications, We've got to move to a world where we're building completely confidential applications at all time. And that means that they are secured, encrypted, all traffic is encrypted, whether it's storage traffic, whether it's IO traffic, we've got to make sure we've got complete route of trust of the applications. And so, to do all of that is actually a... compute intensive. It just is. And so, I think as we move forward and people build much more complete, confidential, compute secured environments, you're going to be encrypting all traffic all the time. You're going to be doing micro-zoning and firewalling down at the VM level so that you've got the protection. You can take a VM, you can move it up to the cloud, it will inherit all of its policies, will move with it. All of that will take compute capacity. >> Yup. >> The great thing is that the DPU's give us this ability to offload and to use some of that spare compute capacity. >> And isolate so the application chance can't just tunnel in and get access to that >> You guys got so much going on. You can have your own CUBE show, just on the updating, what's going on between the two companies, and then the innovation. We got one minute left. Just quickly, what's the goal in the partnership? What's next? You guys going to be in the field together, doing joint customer work? Is there bigger plans? Is there events out there? What are some of your plans together in the marketplace? >> That's you. >> Yup. So, I think, Paul kind of alluded to it. Talk about the fact that you've got a hundred thousand partners in common. The venn diagram of looking at the HPE channel and the VMware channel, clearly there's an opportunity there to continue to drive a joint, go to market message, through both of our sales organizations, and through our shared channel. We have a 25,000 strong... solution architect... force that we can leverage. So as we get these exciting things to talk about, I mean, you talk about Project Monterey, the Distributed Services Engine. That's big news. There's big news around vSphere 8. And so, having those great things to go talk about with that strong sales team, with that strong channel organization, I think you're going to see a lot stronger partnership between VMware and HPE as we continue to do this joint development and joint selling >> Lots to get enthused about, pretty much there. >> Oh yeah! >> Yeah, I would just add in that we're actually in a very interesting point as well, where Intel's just coming out with Next Rev systems, we're building the next gen of these systems. I think this is a great time for customers to look at that aging infrastructure that they have in place. Now is a time we can look at upgrading it, but when they're moving it, they can move it also to a cloud subscription based model, you know can modernize not just what you have in terms of the capabilities and densify and get much better efficiency, but you can also modernize the way you buy from us and actually move to... >> Real positive change transformation. Checks the boxes there. And put some position for... >> You got it. >> ... cloud native development. >> Absolutely. >> Guys, thanks for coming on the CUBE. Really appreciate you coming out of that busy schedule and coming on and give us the up... But again, we can do a whole show some... all the moving parts and innovation going on with you guys. So thanks for coming on. Appreciate it. Thank you. I'm John Dave Vellante we're back with more live coverage day two, two sets, three days of wall to wall coverage. This is the CUBE at VMware Explorer. We'll be right back.

>> Narrator: Live from Las Vegas, it's the Cube. Covering VM World 2017, brought to you by VM Ware, and it's eco system partners. >> Hi everybody, we're back. This is Dave Vellante with Peter Burris and we are here at VM World 2017 in Las Vegas. This is the eighth year of the Cube doing VM World, it started in Moscow and Moscow is under construction. So we're here back in Vegas. Although they've had VM World in Vegas a couple times. Collin Gallagher is here. He's the senior director of product marketing for Hyper Converged Infrastructure at Dell EMC. Collin, great to see you, thanks for coming to the Cube. >> Thanks Dave, thanks for having me. >> So first of all, how's the show going for you? >> Fantastic. Incredibly busy. As you can see, Hyper Converged is the hot thing yet again. I think last year was a big thing. But it's nice to see it's being... Customers are asking about it, you're seeing it in the keynotes. You know, the products being mentioned, Vsan, VXrail, et cetera. And just being swamped and busy and having a little bit of fun as well. >> So before we get into the announcements and we want to do that and give you the opportunity to talk about that, Peter and I and folks in the Cube have been talking all week, really all year. >> Peter: Yeah. >> About how customers are coming to the reality that I can't just reform my business and try to stuff it into the cloud, I really got to understand the realities of my business and bring the cloud model to the extent that I can, to the business. So what role does Hyper Converged play, in that context of bringing the cloud to my business? >> Well, I think Hyper Converged is the technology that allows you to do that. But as you bring out, as you mentioned, you have to also rethink about how you maintain your business, right? Because Hyper Converged consolidates you compute, your storage, your networking into one system. But that means that you may have to think about consolidating your storage teams, your compute teams and your networking teams as well. Right? And if you're going to keep them separate but merge the technology, there's going to be some impedance mismatched there. So Hyper Converged is an enabler for that, but it requires you to transform not just the technology, but also how you manage and staff your business as well. >> So I remember, I guess it was three years ago now, at VM World, you guys made the sort of first announcement of sort of software defined true Hyper Converged product and it's really evolved quite dramatically from then so maybe bring us up to where we are today and talk about some of the announcements that you made. >> Yeah, so... Yes, when Hyper Converged was announced a couple years ago, in a couple different products, but the point I was making a little bit earlier is that Hyper Converged is not just a single product. It's enabling technology. And much like Flash was five to seven year ago, it's going everywhere. >> Peter: It's a design approach. >> It's a design, exactly. >> Yeah, it's a design approach. And you're seeing it in appliances that have been very successful today, you're seeing it in larger rack scale systems, you're seeing it in software only systems, it depends on how and much, as you said, Dave, you want to transform right? You can do some of your build your own Hyper Converged stuff and not transform very much at all. You can do full turn-key cloud built on Hyper Converged, but that's going to require a vast degree of not just infrastructure transformation, but also work force transformation to go with it. >> Now, one of the things we've observed, Collin, and get some feedback from you on this is that... Cause we totally agree. In fact, we wrote a piece of research we called the Iron Triangle of IT and the fact that there is this very tight linking between people with skills, the automation that they use to manage products, that dictate the skills that dictate the automation, and breaking that as well. And a lot of our CIO clients are telling us, that you guy don't understand. The biggest problem I got is getting my people to work differently together. New processes, new approach to doing things. So one of the forcing funtions has been is historically when we think about designing systems to run work loads, we started with the CPU. We sized the CPU and then we did everything else. Now we start thinking about a lot of these data driven, digital oriented kinds of systems. We're thinking about something different. That catalyzed with this enormous performance improvements and storage over the last few year through Flash, vSAN related types of things. What are some of the new design principles that people have to factor as they start thinking about the role that Hyper Converged is going to play? >> So let me play off that. So yes, people design for the CPU because that was the bottle neck, right? Then as CPU performance grew, 5X, 10X, et cetera, they started designing for storage because that became the bottle neck, right? So part of your question is what's going to be the next bottleneck? Right? And I think you just had Chad talking on before. I think the network may be that upcoming bottleneck right now. You know, particularly in the Hyper Converged world where everything is connected through the network. That's your back plan. It's a different approach to storage. So designing around your network capabilities or your network infrastructure, you know, deploying Hyper Converged in a branch office with one GIG is very different than deploying Hyper Converged in a data center with 25 GIG and how you do it. So that's one, but I think Hyper Converged is all about balance in general, right. There's a fixed ratio depending on the product implementation of storage to compute, right? And generally they like to be in the Goldilocks zone, right? Not too much CPU, just... Not too CPU heavy or not too much storage heavy. And I think as Hyper Converged is going more mainstream and more normal, it's pushing those subtle boundaries there. And I think things like flexing out to the cloud when you need additional storage or additional compute capability, is one of those design considerations you need to take into account as you're deploying Hyper Converged because, as you said, you're designing around constraints and there's some physical constraints you have to manage and you have to figure out how you can tap into some of the extra ones. >> So literally it's start with the outcomes, identify the data that's associated with those outcomes, figure out the physical characteristics necessary to apply and process and move that data or not move it. And use that as the starting point for the design considerations. Being very cognitive, going back to what Chad was talking about, that at the end of the day, it's the network that's binding these things and how far out is a protocol going to go, local versus wide area. >> I'm going to steal something that I read on Twitter the other day, that data is the new oil. Alright, and that's how you run your business. And just like how you ship oil to and from, from a well to a refinery, to finally to your gas station pump, you have to think of it, what's your data chain and how you get it and where you need to move it. >> So that's a term that we started using in the Cube in, I don't know, 2010. But what we found is that data is plentiful, but insights aren't. And so you see organizations really spending a lot of time, money, energy, trying to get to those insights, to give them competitive advantage and a new infrastructure emerging to support those. So I wonder, Collin, if you could talk about the portfolio, the products that you sort of look after and tie it into some of the things that you've announced this week. >> Yeah. So I look after our VM or Hyper Converged systems so Vxrail and Vxrack SDDC. You know, both jointly developed with VM Ware. I'm sure you've heard Pat and everybody else talk about them so if you've been watching any of the keynotes. But we also have a much larger portfolio. We have our Vsan ready nodes for customers who want to do it themselves, want to build their own systems. And again, that's, as we talk about degree of transformation, that allows customers to get into the Hyper Converged space, but not significantly transform how they're managing their business. We have the appliances. Obviously our Vxrail systems. So by the way, the news with the Vsan ready nodes is we're announcing them available on the Dell Poweredge 14G Platforms. Those are available now to order. On our Vxrail appliances, and the rest of the portfolio that'll be out on the 14G platform by the end of the year. But what's new with Vxrail, we're announcing Vxrail 4 dot 5, which provides life cycle management orchestration for the latest and greatest VM Ware software stacks. So Vsan, 6 dot 5, Vsan 6 dot 6 Vsphere 6 dot 5. So both of those are out now and available. With all the great goodness that you've seen and heard about them. We're also announcing new configuration options for our Vxrack SDDC platform. So that's our much larger, it's the big brother to Vxrail, fully turn-key, you know, software defined data center infrastructure including NSX, all managed under one umbrella. >> So a higher-end solution? >> It's a much higher-end solution. Much higher for larger... Not necessarily scale because you know, it's not necessarily scale because you can start pretty small. As low as-- >> Peter: But still organized, coherent, well-packaged. >> But you have to, again, if we're talking about degrees of transformation, if you go with an appliance, okay you manage your compute and storage together. If you're going with a rack scale system, your managing the network as part of that as well. So that's another degree of transformation you have to be willing to make. So that's what's really the big difference between the two. New configuration options, up to 40 different hardware configs available now for that so really driven by customer choice. I want lower powered CPU's for certain workloads, I want higher powered CPU's, I want more all Flash choices, so really flush that portfolio out. And then lastly, we're announcing, our EHC and NHC platforms from Dell EMC are available built on Vxrack SDDC as well. >> EHC acronym? >> Collin: Enterprise Hybrid Cloud. >> And? >> Native Hybrid Cloud. EHC and NHC, sorry. Both of those two systems, which had run on our Vblock infrastructure before, are now running on Vxrack SDDC as well. So you get fully turn-key hybrid cloud built on top of an HCI system. >> And when you think of a EHC, Enterprise Hybrid Cloud, and Native Hybrid Cloud, NHC, can you talk about the work loads? That customers should think about putting on each? >> Yeah, so EHC is much more for traditional workloads. For customers who are looking to get into hybrid cloud. Actually, we see a lot of, our number one customer for someone who buys EHC, is they've tried to build cloud on their own and failed. They want something turn-key, they don't want to make the same mistakes again, they have the scars, and they want something easier and simpler than building it themselves. But that is traditional workloads, your traditional data center workloads managed in a cloud environment. NHC, our Native Hybrid Cloud product is for cloud native workloads, it's actually turn-key pivotal systems. So it's PSC based so if you're deploying workloads that will run in pivotal and you want it as a test dev system in house, or you want to run that in house and then migrate it later to the cloud, that's what NHC is for. >> Okay, we got to leave it there. But I'll give you a last word on VM World 2017, cloud, Hyper Converged, a lot of new innovation. What's your bumper sticker, Collin, on the show? >> My bumper sticker is again, HCI is primetime, it's here, I used to say that, customers, when I started this job two years ago would tell me, "tell me why I need HCI?" And what customers are asking me now is, last year was, "tell me how I use HCI?" and this year it's "tell me where I can't use HCI?" So there's been this waterfall shift in how they're looking at doing it. >> Dave: So they like it, they're trying to apply it. >> Peter: What is it? How it works? And what's the impact? >> Dave: And I want to apply it in as many places as possible. Where are my blind spots? >> Yeah, where doesn't it fit? What are the constraints where it doesn't fit? >> Collin Gallagher, thanks so much for coming back in the Cube. >> Oh, my pleasure. Thanks, Dave. >> Keep right there, everybody. We'll be back, this is Dave Vellante. For Peter Burris, this is the Cube. We're live at VM World 2017 and we'll be right back.