(lively music) >> Narrator: Live, from San Francisco, celebrating 10 years of high tech coverage, it's theCUBE, covering VMworld 2019! Brought to you by VMware and its ecosystem partners. >> Okay, welcome back to theCUBE's live coverage in VMworld 2019. We're in San Francisco. We're in Moscone North Lobby. I'm John Frer, my co Stu Miniman, here covering all the action of VMworld, two sets for theCUBE, our tenth year, Stu. Keeping it going. Two great guests, John Fanelli, CUBE Alumni, Vice President of Product, Virtual GPUs at NVIDIA Kevin Gray, Director of Product Marketing, Dell EMC. Thanks for coming back on. Good to see you. >> Awesome. >> Good to see you guys, too. >> NVIDIA, big news, we saw your CEO up on the keynote videoing in. Two big announcements. You got some stats on some Windows stats to talk about. Let's talk about the news first, get the news out of the way. >> Sure, at this show, NVIDIA announced our new product called NVIDIA Virtual Compute Server. So for the very first time anywhere, we're able to virtualize artificial intelligence, deep learning, machine learning, and data analytics. Of course, we did that in conjunction with our partner, VMware. This runs on top of vSphere and also in conjunction with our partner at Dell. All of this Virtual Compute Server runs on Dell VxRail, as well. >> What's the impact going to be for that? What does that mean for the customers? >> For customers, it's really going to be the on-ramp for Enterprise AI. A lot of customers, let's say they have a team of maybe eight data scientists are doing data analytics, if they want to move through GPU today, they have to buy eight GPUs. However, with our new solution, maybe they start with two GPUs and put four users on a GPU. Then as their models get bigger and their data gets bigger, they move to one user per GPU. Then ultimately, because we support multiple GPUs now as part of this, they move to a VM that has maybe four GPUs in it. We allow the enterprise to start to move on to AI and deep learning, in particular, machine learning for data analytics very easily. >> GPUs are in high demand. My son always wants the next NVIDIA, in part told me to get some GPUs from you when you came on. Ask the NVIDIA guy to get some for his gaming rig. Kidding aside, now in the enterprise, really important around some of the data crunching, this has really been a great use case. Talk about how that's changed, how people think about it, and how it's impacted traditional enterprise. >> From a data analytics perspective, the data scientists will ingest data, they'll run some machine learning on it, they'll create an inference model that they run to drive predictive business decisions. What we've done is we've GPU-accelerated the key libraries, the technologies, like PyTorch, XGBoost to use a GPU. The first announcement is about how they can now use Virtual Compute Server to do that. The second announcement is that workflow is, as I mentioned, they'll start small, and then they'll do bigger models, and eventually they want to train that scale. So what they want to do is they want to move to the cloud so they can have hundreds or thousands of GPUs. The second announcement is that NVIDIA and VMware are bringing Virtual Compute Server to VMware Cloud running on AWS with our T4 GPUs. So now I can scale virtually starting with fractional GPU to single GPU to multi GPU, and push a button with HCX and move it directly into AWS T4 accelerated cloud. >> That's the roadmap so you can get in, get the work done, scale up, that's the benefit of that. Availability, timing, when all of this is going to hit in-- >> So Virtual Compute Server is available on Friday, the 29th. We're looking at mid next year for the full suite of VMware Cloud on top of Aws T4. >> Kevin, you guys are supplier here at Dell EMC. What's the positioning there with you guys? >> We're working very closely with NVIDIA in general on all of their efforts around both AI as well as VDI too. We'll work quite a bit, most recently on the VDI front as well. We look to drive things like qualifying the devices. There's both VDI or analytics applications. >> Kevin, bring us up-to-date 'cause it's funny we were talking about this is our 10th year here at the show. I remember sitting across Howard Street here in 2010 and Dell, and HP, and IBM all claiming who had the lowest dollar per desktop as to what they were doing in VDI. It's a way different discussion here in 2019. >> Absolutely. Go ahead. >> One of the things that we've learned with NVIDIA is that it's really about the user experience. It's funny we're at a transition point now from Windows 7 to Windows 10. The last transition was Windows XP to Windows 7. What we did then is we took Windows 7, we tore everything out of it we possibly could, we made it look like XP, and we shoved it out. 10 years later, that doesn't work. Everyone's got their iPhones, their iOS devices, their Android devices. Microsoft's done a great job on Windows 10 being immersive. Now we're focused on user experience. When the VDI environment, as you move to Windows 10, you may not be aware of this, but from Windows 7 to Windows 10, it uses 50% more CPU, and you don't even get that great of a user experience. You pop a GPU in there, and you're good. Most of our customers together are working on a five-year life cycle. That means over the next five years, they're going to get 10 updates of Windows 10, and they're going to get like 60 updates of their Office applications. That means that they want to be future-proof now by putting the GPUs in to guarantee a great user experience. >> On the performance side too, obviously. In auto updates, this is the push notification world we live in. This has to built in from day one. >> Absolutely, and if you look at what Dell's doing, we really built this into both our VxRails and our VxBlocks. GPUs are just now part of it. We do these fully qualified. It stacks specifically for VDI environments as well. We're working a lot with the n-vector tools from VM which makes sure we're-- >> VDI finally made it! >> qualifying user experience. >> All these years. >> Yes, yes. In fact, we have this user experience tool called n-vector, which actually, without getting super technical for the audience, it allows you to look at the user experience based on frame-rate, latency, and image quality. We put this tool together, but Dell has really been taking a lead on testing it and promoting it to the users to really drive the cost-effectiveness. It still is about the dollar per desktop, but it's the dollar per dazzling desktop. (laughing) >> Kevin, I hear the frame-rate in there, and I've got all the remote workers, and you're saying how do I make sure that's not the gaming platform they're using because I know how important that is. >> Absolutely. There's a ton of customers that are out there that we're using. We look at folks like Guillevin as like the example of a company that's worked with us and NVIDIA to truly drive types of applications that are essential to VDI. These types of power workers doing applications like Autodesk, that user experience and that ability to support multiple users. If you look at Pat, he talked a little bit about any cloud, any application, any device. In VDI, that's really what it's about, allowing those workers to come together. >> I think the thing that the two of you mentioned, and Stu you pointed out brilliantly was that VDI is not just an IT thing anymore. It really is the expectation now that my rig, if I'm a gamer, or a young person, the younger kids, if you're under 25, if you don't have a kick-ass rig, (laughs) that's what they call it. Multiple monitors, that's the expectation, again, mobility. Work experience, workspace. >> Exactly, along those same lines, by the way. >> This is the whole category. It's not just like a VDI, this thing over here that used to be talked about as an IT thing. >> It's about the workflow. So it's how do I get my job done. We used to use words like "business worker" and "knowledge worker." It's just I'm a worker. Everybody today uses their phone that's mobile. They use their computer at home, they use their computer at work. They're all running with dual monitors. Dual monitors, sometimes dual 4K monitors. That really benefits as well from having a GPU. I know we're on TV so hopefully some of you guys are watching VDI on your GPU-accelerated. It's things like Skype, WebEX, Zoom, all the collaboration to 'em, Microsoft Teams, they all benefit from our joint solution, like the GPU. >> These new subsystems like GPUs become so critical. They're not just subsystem, they are the main part because the offload is now part of the new operating environment. >> We optimized together jointly using the n-vector tool. We optimized the server and operating environment, so that if you run into GPU, you can right-size your CPU in terms of cores, speed, etc., so that you get the best user experience at a most cost effective way. >> Also, the gaming world helps bring in the new kind of cool visualization. That's going to move into just the workflow of workers. You start to see this immersive experience, VR, ARs obviously around the corner. It's only going to get more complex, more needs for GPUs. >> Yes, in fact, we're seeing more, I think, requirements for AR and VR from business than we are actually for gaming. Don't you want to go into your auto showroom at your house and feel the fine Corinthian leather? >> We got to upgrade our CUBE game, get more GPU focused and get some tracing in there. >> Kevin, I know I've seen things from the Dell family on levering VR in the enterprise space. >> Oh, absolutely. If you look at a lot of the things that we're doing with some of the telcos around 5G. They're very interested in VR and AR. Those are areas that'll continue to use things like GPUs to help accelerate those types of applications. It really does come down to having that scalable infrastructure that's easy to manage and easy to operate. That's where I think the partnership with NVIDIA really comes together. >> Deep learning and all this stuff around data. Michael Dell always comes on theCUBE, talks about it. He sees data as the biggest opportunity and challenge. In whatever applications coming in, you got to be able to pound into that data. That's where AI's really shown... Machine learning has kind of shown that that's helping heavy lifting a lot of things that were either manual. >> Exactly. The one thing that's really great about data analytics that are GPU-accelerated is we can take a job that used to take days and bring it down to hours. Obviously, doing something faster is great, but if I take a job that used to take a week and I can do it in one day, that means I have four more days to do other things. It's almost like I'm hiring people for free because I get four more extra work days. The other thing that's really interesting as our joint solution is you can leverage that same virtual GPU technology. You can do VDI by day and at night, you run Compute. So when your users aren't at work, you migrate them off, you spin up your VMs that are doing your data analytics using our RAPIDS technology, and then you're able to get that platform running 24 by seven. >> Productivity gains just from an infrastructure. Even the user too, up and down, the productivity gains are significant. So I'll get three monitors now. I'm going to get one of those Alienware curved monitors. >> Just the difference we had, we have a suite here at the show, and just the difference, you can see such a difference when you insert the GPUs into the platform. It's just makes all the difference. >> John, I got to ask you a personal question. How many times have people asked you for a GPU? You must get that all the time? >> We do. I have a NVIDIA backpack. When I walk around, there's a lot of people that only know NVIDIA for games. So random people will always ask for that. >> I've got two sons and two daughters and they just nerd out on the GPUs. >> I think he's trying to get me to commit on camera on giving him a GPU. (laughing) I think I'm in trouble here. >> Yeah, they get the latest and greatest. Any new stuff, they're going to be happy to be the first on the block to get the GPU. It's certainly impacted on the infrastructure side, the components, the operating environment, Windows 10. Any other data you guys have to share that you think is notable around how all this is coming together working from user experience around Windows and VDI? >> I think one piece of data, again, going back to your first comment about cost per desktop. We're seeing a lot of migration to Windows 10. Customers are buying our joint solution from Dell which includes our hardware and software. They're buying that five-year life cycle, so we actually put a program in place to really drive down the cost. It's literally like $3 per month to have a GPU-accelerated virtual desktop. It's really great Value for the customers besides the great productivity. >> If you look at doing some of these workloads on premises, some of the costs can come down. We had a recent study around the VxBlock as an example. We showed that running GPUs and VDI can be up as much as 45% less on a VxBlock at scale. When you talk about the whole hybrid cloud, multi-cloud strategy, there's pluses and minuses to both. Certainly, if we look at some of the ability to start small and scale out, whether you're going HCI or you're going CI, I think there's a VDI solution there that can really drive the economics. >> The intense workloads. Is there any industries that are key for you guys in terms of verticals? >> Absolutely. So we're definitely looking at a lot of the CAD/CAM industries. We just did a certification on our platforms with Dassault's CATIA system. That's an area that we'll continue to explore as we move forward. >> I think in the workstation side of things, it's all the standard, it's automotive, it's manufacturing. Architecture is interesting. Architecture is one of those companies that has kind of an S and B profile. They have lots of offices, but they have enterprise requirements for all the hard work that they do. Then with VDI, we're very strong in financial services as well as healthcare. In fact, if you haven't seen, you should come by. We have a Bloomberg demo for financial services about the impact for traders. I have a virtualized GPU desktop. >> The speed is critical for them. Final question. Take-aways from the show this year, 2019 VMworld, Stu, we got 10 years to look back, but guys, take-aways from the show that you're going to take back from this week. >> I think there's still a lot of interest and enthusiasm. Surprisingly, there's still a lot of customers that haven't finished there migration to Windows 10 and they're coming to us saying, Oh my gosh, I only have until January, what can you do to help me? (laughing) >> Get some GPUs. Thoughts from the show. >> The multi-cloud world continues to evolve, the continued partnerships that emerge as part of this is just pretty amazing in how that's changing in things like virtual GPUs and accelerators. That experience that people have come to expect from the cloud is something, for me is a take-away. >> John Fanelli, NVIDIA, thanks for coming on. Congratulations on all the success. Kevin, Dell EMC, thanks for coming on. >> Thank you. >> Thanks for the insights. Here on theCUBE, Vmworld 2019. John Furrier, Stu Miniman, stay with us for more live coverage after this short break. (lively music)

>> Live from Las Vegas. It's theCUBE covering VMworld 2017. Brought to you by VMware and its ecosystem partners. >> Good night everybody, this is Dave Vellante with Peter Burris and we are live here at VMworld 2017. This is theCUBE, the leader in live tech coverage. Kevin Gray is here as the director of product marketing for hybrid cloud platforms at Dell EMC. Welcome to theCUBE. >> Thanks. >> OK, so, we're here talking cloud, everybody's cloud crazy, but it seems like, as Peter said, the technology has matured. >> Kevin: Yeah. >> And we're actually at a point where we can deliver what we've been talking about for the past five or six years. So how does that relate to what you guys have, what are you showing here at the event, and what are customers saying? >> Peter: Yeah, what are the announcements? What's happening? >> Well, one of the things we're announcing is enhancements to Enterprise Hybrid Cloud. You've heard a lot at VMware about VMware Cloud Foundation with added support for the extract SDDC, which is our turnkey VMware cloud foundation platform. We've also enhanced support for VxRail, so we've added multi-site capabilities, so we now support up to four data center sites, and we've also added support for disaster recovery through Recover Point VM. We're also added support for native hybrid cloud, so with native hybrid cloud we now have a support for... we have a new turnkey platform for VxRail, and we're supporting our new access testing tool, which is really focused on helping developers, right? So what the access testing tool does is it really focuses on when companies are going through and really looking at re-factoring applications for things like when they're going to microservices, it has that ability to really go out and test to make sure the dependencies and services are still there. We also have a capability around called our Application Deployment Tool, which really pushes, as you look to push an application out to multiple instances of foundations of Pivotal Cloud Foundry, you can actually help, it does that in one push. So if you look at PCF, you can use a CF pushkim, and push it out to multiple instances, and in this case, it'll do that in one step. >> So that's all the things that you've done on an individual announcements basis in the tools, but Kevin, let's step back. Let's take the customer's perspective for a second. When you summarize all this-- >> Right. >> So you're standing in front of a customer and you're saying to the customer, "We are pointing towards this vision." >> Right. >> "We want you to be here with us." What is that here? Where do you want them to be as you start to think about designing and priority for this broad portfolio that you have? >> So you heard Bob talk a little bit about sort of customers buying more outcomes, per se, and one of the things you'll see, with for instance our native hybrid cloud, is that ability to really get a repeatable process with Pivotal Cloud Foundry. So if you look at Pivotal Cloud Foundry, they're moving real fast, right? They have a release every 90 days, pretty much, and you need to be on the latest release within nine months-- >> Let me make sure that I understand this. >> When you say "repeatable process "with Pivotal Cloud Foundry," what you're talking about is that the organization, the shop, can think about developing an application in Pivotal, deploying it out on Cloud Foundry, and then running it on whatever underlying hybrid or conversion for structure that they might want and being able to do that over and over and over, so they can increase their focus on the application function that they're generatng. Is that basically what you mean? >> Absolutely, and-- >> So it's that level of repeatability. Focus on the business problem, build it, and then take the pain and suffering out of deploying it wherever it needs to be. >> Absolutely, and maintaining it. So if we look at large customers, as I mentioned, one large financial institution was looking at how do they do this repeatably across multiple data center sites, right? And how do they keep pace with that change over time, you know? That's not an easy process when you're moving really fast, and it's just one of those things where they tried to do it themselves for a while and realized it's better to buy that outcome than to try and create it on their own. >> You know, Dave, I was talking to a large user here on the show floor not too long ago, yesterday, in fact, about the fact that DevOps is not taking the world by storm the way that many people thought it might, and he identified specifically, one of the reasons is because there's not enough support from the technology companies to start packaging and organizing their capabilities, their technology set, their product sets, to support a DevOps mentality. It almost sounds, you haven't said this, Kevin, I don't want to put words in your mouth, but it almost sounds as if what you guys are saying is, we're going to start designing and packaging and organizing our systems to support that sort of DevOps orientation so the system administrators can evolve in the way that they need to evolve as the business demands new change. >> Yeah, so if you look at our hybrid cloud platforms, they're really intended to be that easy button for deploying either a full vRealize Suite, vRealize Suites stacked in our Enterprise Hybrid Cloud, or Pivotal Cloud Foundry for native hybrid cloud. Another thing we introduced this week was our ready systems. We have ready systems for VMware and we have ready systems for Pivotal. If you look at the VMware ready system, one of the things we found, for VMware, one of the things we found was that many customers, if you look at Enterprise Hybrid Cloud, it gives you a lot of benefits that a lot of our large enterprise customers are looking for, so, it supports multiple sites, it supports disaster protection, and it supports a turnkey platform where it's an engineered system, but for a lot of customers, it meant that you were always a couple of releases behind. So we give them that experience, right? And we make it a little bit, we give them an opportunity with the ready system to get that support from VMware, where we'll take on the HCI piece and support it. Same thing with native hybrid cloud and our Pivotal Cloud Foundry, Pivotal ready system, you know, they'll get their support from PCF, from Pivotal, but they'll build it on HCI. And we're also introducing a Pivotal ready system based on PKS. And I think PKS is interesting, simply because if you look at the Kubernetes environment and the work that's been done with Kubo, it's really a platform that's more likely where people are going to want to build, right? If you look at those people that are doing it, they want more control over, you know, their build process and their pipeline, and therefore they're more likely to build, and with the PKS system, the ready system based on Pivotal, Pivotal ready system, they can get that outcome. >> So at the end of the day it's all about changing the operating model, >> Kevin: Absolutely. >> And having a business impact. Peter, we were in our Palo Alto studio, and one of our clients was in, very prominent end user and market practitioner, saying if you can't change the operating model, you know, you might get a little bit of business benefit, but if you're a large company, you're never going to take a billion dollars of cost out. So my question is, what are you guys seeing, are you being able to affect the operating model, and can you share any of your favorite examples or even generic sort of proof points? >> Sure, absolutely. We had one customer, CICC, they're a large HR outsourcer in China, and by implementing Enterprise Hybrid Cloud, they were able to accelerate the time it took to get new application services by 60%. This is simply a means of taking IT out of the middle and really being able to accelerate delivery of-- >> Peter: We're taking certain tasks-- >> Exactly. >> Peter: That IT performs. It's not necessarily taking IT out, it's taking those low-value tasks out, right? >> Kevin: Absolutely. You know, self-service portal pieces, exactly, so-- >> Dave: And then maybe re-deploying those resources to higher-value activities. >> Kevin: Absolutely. Right. So those are the types of outcomes. We also see, if you look at Pivotal and some of the capabilities they have, if you look at sort of traditional IT infrastructure we see many customers moving to, you know, daily, weekly releases, as opposed to, if you think of a traditional model, it would be a much longer process, so that's the type of outcome we see as well. >> Dave: Well, one of the things you've been saying for years, I think Benioff stole it from you, is there's going to be way more SAAS companies coming out of non-tech companies than tech companies to your point, everybody's now a software company, and they're releasing code on a constant basis, but they're not technology companies, so they need help, right? >> He might not have stolen it from me, but it's a nice validation point. And I think we said it before he did. >> Just kidding, Marc. Alright, Kevin, hey thanks very much for coming on theCUBE. We really appreciate having you. >> Appreciate it. Thanks. >> Alright, keep right there everybody, we'll be back with our next guest. This is theCUBE, we're live from Las Vegas Mandalay Bay. Day three, VMworld 2017. We'll be right back. >> Thank you.