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

>> Announcer: Live from Washington D.C., it's theCube, covering .Next conference. Brought to you by Nutanix. >> We're back, this is Dave Vellante with Stu Miniman, and this the wrap of .Next, Nutanix's customer event, #NEXTConf and this is theCube, the leader in the live tech coverage for enterprise technology. Stu, second day. I got to say, Nutanix has always done a good job, innovative venues, they do funky, fun stuff with marketing, we haven't seen the end of it. We have another keynote today, there's a keynote tomorrow morning, big names, Bill McDermott's here, we just saw Peter MacKay, Chad Sakac is here. Who am I missing? >> Stu: Diane Greene >> Diane Gree was up yesterday. >> Y'know, thought leaders, had the CEO of NASDAQ on this morning Dave, y'know really good customers, thought leaders, Nutanix always makes me think a little bit, which I really enjoy. My fourth one of these Dave, usually by the fourth show I've gotten to, it's like I've seen it. Have we made progress, where are we going? >> I thought Sunil Podi's comment was really interesting, he said, "Look, we saw the trends, "we knew that hardware was going down." I mean, they're essentially admitting that they were a hardware oriented company, infrastructure company, we saw what was happening to infrastructure and hyper-converge, and we could just packed it up then, sold the company for a bunch of money, there were rumors floating around, you know they were pre-IPO, they easily could have sold this thing for a billion plus, all could have cashed out and made a buncha dough, and they said, "Y'know what, we're going to do something "different, we're going to go for it." You got to love the ambition, and so many companies today just can't weather that independent storm. I mean, you've seen it over and over and over again. The last billion dollar storage company that remained independent was NetApp, that was 14 years ago, now Nutanix isn't a storage company, but look around here, look at the analysts, a buncha storage guys that have grown up, and it's to me, Stu, it's a representation of what's happening in the marketplace. Storage as we know it is going away, and it always has transformed, y'know it used to be spinning disc drives, then it was subsystems, then it was the SAN, now it's evolving, these guys call it invisible infrastructure, call it whatever you want, but it's moving toward infrastructure as code, which is just a stepping stone to cloud. So your thoughts on the event, the ecosystem, and their position in the marketplace. >> Right, they reach a certain point, they've gone public, can they keep innovating? Look at a number of announcements there, we spent a lot of time talking about the new CloudZi service out there. >> Si? >> Zi. >> Zi, zi, sorry, you got it. (chuckles) >> Pronunciation of some of these, "it's Nutanix, right?" >> Nutonix, Nutanicks, (chuckles) >> They made jokes about the company last year, but this year, that's product, we're talking vision. The ink is still drying on the relationship with Google, doesn't mean they haven't been working for a while, but where this deal goes, interesting to see where it is six months from now, a year from now, because also Google, small player, I mean it wasn't to be honest, I was at the Red Hat Summit and they had a video of Andy Jassy saying, "We've extending AWS with OpenShift." And you're like wow. Red Hat has a position in a lot of clouds, but for Andy Jassy to make an appearance, Amazon, the behemoth in the cloud, that's good. Look, getting Diane Greene here, I said number one, it gives Nutanix credibility, number two it really pokes at VMware a little bit, she's like, "Oh, I did this before." And everybody's like, "Well, she's here now at Nutanix." Nutanix wants to be, that they've compared themselves to both Amazon, I think we hear it was Sunil or Dheeraj in an analyst session said they "want to be like the A Block." Not the V Block that EMC did, but the Amazon Block for the enterprise, or the next VMware, they talked about the new operating system. It's funny, in a lot of my circles, we've been trying to kill the operating system for a while, I need just enough operating system, I want to serverless and containerize all of these things because we need to modernize, and the old general-purpose processor and general-purpose operating system has come and gone, it's seen its day, but Nutanix has a play there. When I look at some of the things going on, we're talking about microsegmentation Dave, we're talking about multi-cloud and some interesting pieces. I like the ecosystem, I like that balance of how do you keep growing and expand where they can go into, leading the customers, but they're delivering today, they've got real products, they've got real growth, sure they have some challenges as to that competitive back and forth, but you asked Chad Sakac if this reminded him of Dell EMC, and kind of that partnership that they had for years, reminded me a little bit of kind of EMC and VMware too, once EMC bought VMware, VMware, the relationship they had, HP, and IBM, and other companies that they needed to treat as good or better than EMC. They're some of those tough relationships, and Dell with Nutanix, their partner, not only do they do Dell XC, but now they're doing like Pivotal on top of it, they can do Hyper-V deployments, Lenovo's another partner, Nutanix is broadening their approach, there's a lot of options out there and a lot of things to dig into, interesting, they keep growing their customers, keep delighting their customers, it reminds me of other shows we go to, Dave, like Amazon re:Invent, customers are super excited, You tell me about the Splunk conference and the ServiceNow conference where those customers are in there, they're excited, and Nutanix is another one of those, that every year you come, there's good solid content, there's a customer base that is growing and exciting and sharing, and that's a fun one to be part of. >> So, I want to ask you about VMware, it's kind of a good reference model. EMC paid out, I don't know, $630 million for VMware, which was the greatest acquisition in enterprise IT history, no question about it in terms of return. A couple questions for you, you were there at the time, you signed the original NDA between EMC and VMware, kind of sniffed em out. Would VMware's ascendancy been as fast and as successful, or even more successful, without EMC? Would VMware have got there on its own? >> I don't think so Dave, because my information that I had, and some of it's piecing together after the fact is VMware was really looking for that company to help them get to the next state. The fundraising was a little bit different back in 2003 than it was later, but rumors were Semantic was going to buy them. Everybody I talked to, you'd know better than me Dave, if Semantic had bought them, they would have integrated into all their pieces, they would have squashed it, the original talent probably would have fled much sooner. EMC didn't really know what they had, I had worked on some of the due diligence for some of the product integration, which took years and years to deliver, and it was mostly we're going to buy them. Diane had a bit of a tense relationship with Joe Tucci kind of from day one, and it was like okay, you're out there in Palo Alto, we're on the other coast, you go and do your thing, and you grow, and by the time EMC had gotten into VMware a little bit more, they were much bigger. So I think as you said, they're one of the great success stories, EMC did best in a lot of its acquisitions where it either let it ran a division and go, or let it kind of sit on its own and just funded it more, so I think that was a-- >> Well, and the story was always that Diane was pissed because she sold out at such a low price, but that's sort of ancient history. The reason I brought that up is I want to try to draw the parallel with Nutanix today, and come back to what you were saying about the A Block. When you look at Amazon, we agree, they have a lead, whether that lead is five years, seven years, four years, probably more like five to seven, but whatever, whatever it is, it's a lead, it's substantive. Beyond the infrastructure, the storage and the compute, they're building out just all kinds of services, I mean just look at their website, whether it's messaging, on and on and on, there's database, there's AI, there's their version of VDI, there's all this big data stuff, with things like Kinesis, and on and on and on, so many services that are much, much larger than the entire Nutanix ecosystem. So the reason for all this background is does Nutanix need a bigger, can Nutanix become it's ambition, which is essentially to be the next VMware, without some kind of white knight? >> So my answer, Dave, is if you look at Nutanix's ambition, one of the challenges for every infrastructure company today, if you think okay, we've talked about True Private Cloud, Dave, what services can I run on that? How can I leverage that? Look at Amazon, y'know a thousand new services coming every year, look at Google, they've got TensorFlow, really cool stuff, they've got those brilliant people coming up with the next stuff, how do I get that in my environment? Well, Nutanix's answer, coming at the show was we're going to partner with Google, we're going to have that partnership, you're going to be able to plug in, and you want to do your analytics and everything, use GCP, they're great at that, we're not, we know that you need to be able to leverage Google services to do that. The Red Hat announcement that I mentioned before, another way how I can take OpenShift and bridge from my data center and my environment and get access to those services. The promise of VMware on Amazon, yeah we're going to have a similar stack that I can go there, but I want to be able to access those VMware servers. Now, could it suck them eventually into all of Amazon and leave VMware behind? Absolutely, it's tough to partner with Amazon. So, the thing I've been looking at at almost every show this year is how are you tying into and working with those public clouds, we talked about it at VMON, Dave, they have Microsoft up on stage, they have partnerships with the public cloud-- >> David: HPE was up there. >> But the public cloud players, if you're not allowing your customers and the infrastructure that you're building to find ways to leverage and access those public cloud services, which not only are they spending $10 billion a year for each one of the big guys on infrastructure to get all around the globe, but it's all of those new services ahead, moving up the stack. To stitch together that in your own environment is going to be really challenging, how many different software pieces, how do I license it? How do I get it on, as opposed to oh, I'm in the public cloud, it's a checkbox, okay I want to access that, and I consume it as I need it, that consumption model needs to change, so I think Nutanix understands that's directionally where they want to go, I look at the Calm software that they launched and say hey, you want to use TensorFlow? Oh, it's just a choice here, absolutely, go. Where is it and how do I use it? Well, some of these details need to be worked out, as Detu said, "it's not like it's one click for every application, any cloud, anywhere." But that's directionally where they're going to make it easy, so all that cool analytic stuff that we cover a lot on theCube, a lot of that is now happening in the cloud, and I should be able to access it whether I'm in my private cloud or public cloud, and it's just going to be consumption model, whether I have certain characteristics that make it that I'm going to want to have that infrastructure for whether that's governance or locality, we talked to Scholastic yesterday, and they said, "Well when you've got manufacturing "in books, I need things close "to where they're coming off the production line, "otherwise there's things that I'm doing "in the public cloud." So that's there we see, when I talk to companies like I do here, at the Vienna show last year, when I talk to Christian Reilly with Citrix, who had been at Bechtel for many years, there's reasons why things need to live close to what's happening, y'know we've talked a lot about Edge, and therefore public cloud doesn't win it all, I know we had one guest on this week that said, "Right, depending on what industry you're is, "is it a 30/70 mix or a 70/30 mix?" There's a lot of nuance to sort this out, and this is long game, Dave, there's this change of the way we do things is a journey, and Nutanix has positioned themselves to continue to grow, continue to expand, some good ambition to expand on, like the five vectors of support that they have, so I've liked what I've heard this week. >> So in thinking about what we're talking about VMware, the imperative for virtualization was so high in the early 2000's because we were coming out of the dot com bust, IT was out of favor, VMware was really the only game in town, there really wasn't a strong alternative, had by far the best product, Microsoft Hyper-V was sort of in-concept, and KVM and others were just really not there, so there really was no choice, it appealed to 100% of the IT shops, I mean essentially. So I wonder though, today, is the imperative for multi-cloud the same? The fundamental is yes, everybody has multiple clouds. But this industry has lived in stovepipes forever, and has figured out how to manage stovepipes, it manages them by fencing things off. So I wonder is the imperative as high, you could maybe make an argument that it's higher, but I'm still not quite getting it yet, as it was in the early 2000's, where the aspirin of virtualization to soothe the pain of do more with less was such an obvious and game changing paradigm shift. I don't see it as much here, I see people still trying to figure out okay, what is our cloud strategy? Number one, number two is the competition seems to be much more wide open, it's unclear at this time that any one company has a fast-track to multi-cloud. >> I think you've got some really good points there, Dave. A thing that I've pointed out a few times is that one of the things that bothered me from the early days with VMware is from an application standpoint, it tended to freeze my application. I didn't have a reason to kind of move forward and modernize my application. Back in 2002 it was like oh, I'm running Windows NT with a really old application, my operating system going to end of life, well maybe it's time to uplift. Oh wait, there's this great virtualization stuff, my hardware's going end of life too. No, shove it in a VM, let's keep it for another five years. Oh my god, that application sucked then, it's going to suck even more in five years, and workforce productivity was way down. So, the vision for Nutanix is they're going to be a platform that are going to be able to help you modernize your environment and how do we get beyond, is it virtualization, is it containerization, is it a lot of the cloud-native pieces, how does that fit in? Starting to hear a little bit more of it, a critique I'd have on HCI about two years ago was it was the same applications that were in my VMware SAN, not VSAN, but my just traditional storage area network was what was running on Nutanix. We're starting to see more interesting applications going on there, and look, Nutanix has a bullseye on them, there are all the HCI direct replacements, there is the threat of the cloud, and I haven't heard as many SAAS applications living on Nutanix as I do when we talk to all flash-array companies, Dave, every single on of them can roll out, here's all these SAAS deployments on our environment, just scalable environments that build that for the future. I haven't heard it as much from Nutanix. >> So VMware was aspirin , Nutanix originally started as aspirin, and now they're pivoting to vitamin. Who are they up against? Who do you like? Who are the horses on the track? Let's analyze the race and then wrap. >> Yeah, so when Nutanix got into this business, it was well, they're helping VMware environments, it was 100% VMware when they first started that relationship with VMware was really tough, they've lowered that too, they've now got what, 28% is running HV, they've got a little bit on Hyper-V, but they've still got about 60% of their customers are VMware. So VMware, y'know, huge challenge, VSAN has more customers than anyone in the hyper-convergent infrastructure space, easy, number of customers, but virtualization admin has taken that. Microsoft, huge potential threat, Azure Stack's coming this year, it's been coming, it's been coming, it's really close there, all the server guys are lining up. Microsoft's a huge player, Microsoft owns applications, they're pulling applications into their SAAS offerings, they're pulling applications into Azure, when they launch Azure Stack, even if the 1.0, if you looked at it on paper and say Nutanix is better, well, Microsoft's a huge threat to both VMware, which uses a lot of Microsoft apps, as well as Nutanix. So those are the two biggest threats, then of course, there's just the general trend of push to SAAS and push to public cloud where Nutanix is starting to play in the multi-cloud, as we talked about, and COM and the DR cloud services are good, but can Nutanix continue to stay ahead of their customers? They're ahead of the vast majority of enterprises, but can they convince them to come on board to them, rather than some of these big guys? Nutanix is a public company now, they're doing great, but yeah, it's a big TAM that they're going after, but that means they're going to have a tax from every side of the market. >> I see HCI as one where you got a leader, and that leader can make some good money. I don't see multi-cloud as a winner-take-all market because I think IBM's going to have its play in multi-cloud, HPE has its play in multi-cloud, Dell EMC is going to have its play in multi-cloud. You got guys coming out of different places like ServiceNow, who's got an IT operations management practice, builds business big, hundreds of millions of dollars of business there, coming at multi-cloud, so a lot of different competitors that are going to be going for it, and some of them with very large service organizations that I think are going to get there fair share, so I would predict, Stu, that this is going to continue to be, multi-cloud is going to be a multi-stovepipe cloud for a long, long time. Now, if Nutanix can come in and solve that control plane problem, and demonstrate substantial business value, and deliver competitive advantage, y'know that might change the game. It's difficult at this point in 2017 to see that Nutanix, over those other guys that I just mentioned, has an advantage, clear advantage, maybe from a product standpoint, maybe. But from a resource standpoint, a distribution channel, services organization, ecosystem, all those other things, they seem to me to be counterbalancing. Alright, I'll give you last thought. >> Yeah, so it's great to see Nutanix, they're aiming high, they're expanding into a couple of areas, and they keep listening, so I hope they keep listening to their customers, expand their partnerships, SAAS customers would be really interesting, service provider is something that they've gotten into little bit, but plenty more opportunity for them to go there. Dave, personally for me, to it have been a company I've watched since the earliest days, it's been a pleasure to watch, y'know I think back, right, VMware you said, I think it was a hundred person company when I first started talking to them and Diane Greene, and I look at where VMware went. I've been tracking VMware for now five years, and reminds me a lot of some of those trends, for a 20 person company, I said to hear almost 3000 boggles the mind, I've been to their headquarters a bunch. So it's been fun to watch the Newton army, and they've been loving watching it from our angles. >> Well and these events are very good events, and so there's a lot of passion here, and that's a great fundamental for this company. So I'm a fan, I think it may be undervalued, I think it very well may be undervalued. >> Wall Street definitely doesn't understand this stuff. >> Alright Stu, great working with you this year, (chuckles) this month, this quarter, this month, certainly this show, so great job. I really appreciate it >> Stu: Thanks, Dave. >> There's a big crew behind what Stu and I, and John Ferrier, and Jeff Frick, and others do here. Here today with us Ava, Patrick, Alex, Jay, you guys have had an awesome spring. Brendan is somewhere, I guess Brendan is doing the keynote right now. So, fantastic job, as always, Kristen Nicole and her team, writing up the articles. Jay Johanson back at the controls, Bert with the crowd shots. Everybody, really appreciate all your support, thanks for watching everybody. We'll see you, we got a little break, I think, in the action, cause it's July Fourth, well it's Canada year, or Canada week-- >> Canada Day and Independence Day next week. >> And Independence Day in the United States, and then we'll be at Infor Inforum, second week of July, I'll be there with Rebecca Knight and the crew, so watch for that, check out SiliconAngle.com for all the news, Wikibon.com for all the research, and theCube.net to find all these videos, Youtube.com/SiliconAngle, it's everywhere, if you can't find it, you're not on Twitter, you're not on social. Thanks for watching, everybody. This is Dave Vellante with Stu Miniman, we're out. (lo-fi synthesizer music)