>>The cube presents HPE discover 2022 brought to you by HPE. >>Hey everyone. Welcome back to the Cube's coverage of HPE. Discover 22 live from the Sans expo center in Las Vegas. Lisa Martin, here with Dave Velante. We've an alumni back joining us to talk about high performance computing and AI, Justin ARD, EVP, and general manager of HPC and AI at HPE. That's a mouthful. Welcome back. >>It is no, it's great to be back and wow, it's great to be back in person as well. >>It's it's life changing to be back in person. The keynote this morning was great. The Dave was saying the energy that he's seen is probably the most out of, of any discover that you've been at and we've been feeling that and it's only day one. >>Yeah, I, I, I agree. And I think it's a Testament to the places in the market that we're leading the innovation we're driving. I mean, obviously the leadership in HPE GreenLake and, and enabling as a service for, for every customer, not just those in the public cloud, providing that, that capability. And then obviously what we're doing at HPC and AI breaking, uh, you know, breaking records and, uh, advancing the industry. So >>I just saw the Q2 numbers, nice revenue growth there for HPC and AI. Talk to us about the lay of the land what's going on, what are customers excited about? >>Yeah. You know, it's, it's a, it's a really fascinating time in this, in this business because we're, you know, we just, we just delivered the first, the world's first exo scale system. Right. And that's, uh, you know, that's a huge milestone for our industry, a breakthrough, you know, 13 years ago, we did the first Petta scale system. Now we're doing the first exo scale system, huge advance forward. But what's exciting too, is these systems are enabling new applications, new workloads, breakthroughs in AI, the beginning of being able to do proper quantum simulations, which will lead us to a much, you know, brighter future with quantum and then actually better and more granular models, which have the ability to really change the world. >>I was telling Lisa that during the pandemic we did, uh, exo scale day, it was like this co yep. You know, produce event. And we weren't quite at exo scale yet, but we could see it coming. And so it was great to see in frontier and, and the keynote you guys broke through that, is that a natural evolution of HPC or is this we entering a new era? >>Yeah, I, I think it's a new era and I think it's a new era for a few reasons because that, that breakthrough really, it starts to enable a different class of use cases. And it's combined with the fact that I think, you know, you look at where the rest of the enterprises data set has gone, right? We've got a lot more data, a lot more visibility to data. Um, but we don't know how to use it. And now with this computing power, we can start to create new insights and new applications. And so I think this is gonna be a path to making HPC more broadly available. And of course it introduces AI models at scale. And that's, that's really critical cause AI is a buzzword. I mean, lots of people say they're doing AI, but when you know, to, to build true intelligence, not, not effectively, you know, a machine that learns data and then can only handle that data, but to build true intelligence where you've got something that can continue to learn and understand and grow and evolve, you need this class of system. And so I think we're at, we're at the forefront of a lot of exciting innovation. H how, >>In terms of innovation, how important is it that you're able to combine as a service and HPC? Uh, what does that mean for, for customers for experimentation and innovation? >>You know, a couple things I've been, I've actually been talking to customers about that over the last day and a half. And, you know, one is, um, you think about these, these systems are, they're very large and, and they're, they're pretty, you know, pretty big bets if you're a customer. So getting early access to them right, is, is really key, making sure that they're, they can migrate their software, their applications, again, in our space, most of our applications are custom built, whether you're a, you know, a government or a private sector company, that's using these systems, you're, you're doing these are pretty specialized. So getting that early access is important. And then actually what we're seeing is, uh, with the growth and explosion of insight that we can enable. And some of the diversity of, you know, new, um, accelerator partners and new processors that are on the market is actually the attraction of diversity. And so making things available where customers can use multimodal systems. And we've seen that in this era, like our customer Lumi and Finland number, the number three fastest system in the world actually has two sides to their system. So there's a compute side, dense compute side and a dense accelerator side. >>So Oak Ridge national labs was on stage with Antonio this morning, the, the talking about frontier, the frontier system, I thought what a great name, very apropo, but it was also just named the number one to the super computing, top 500. That's a pretty big accomplishment. Talk about the impact of what that really means. >>Yeah. I, I think a couple things, first of all, uh, anytime you have this breakthrough of number one, you see a massive acceleration of applications. And if you really, if you look at the applications that were built, because when the us department of energy funded these Exoscale products or platforms, they also funded app a set of applications. And so it's the ability to get more accurate earth models for long term climate science. It's the ability to model the electrical grid and understand better how to build resiliency into that grid. His ability is, um, Dr. Te Rossi talked about a progressing, you know, cancer research and cancer breakthroughs. I mean, there's so many benefits to the world that we can bring with these systems. That's one element. The other big part of this breakthrough is actually a list, a lesser known list from the top 500 called the green 500. >>And that's where we measure performance over power consumption. And what's a huge breakthrough in this system. Is that not only to frontier debut at number one on the top 500, it's actually got the top two spots, uh, because it's got a small test system that also is up there, but it's got the top two spots on the green 500 and that's actually a real huge breakthrough because now we're doing a ton more computation at far lesser power. And that's really important cuz you think about these systems, ultimately you can, you can't, you know, continue to consume power linearly with scaling up performance. There's I mean, there's a huge issue on our impact on our environment, but it's the impact to the power grid. It's the impact to heat dissipation. There's a lot of complexities. So this breakthrough with frontier also enables us no pun intended to really accelerate, you know, the, the capacity and scale of these systems and what we can deliver. >>It feels like we're entering a new Renaissance of HPC. I mean, I'm old enough to remember. I, it was, it wasn't until recently my wife, not recently, maybe five, six years ago, my wife threw out my, my green thinking machines. T-shirt that Danny Hillis gave you guys probably both too young to remember, but you had thinking machines, Ken to square research convex tried to mini build a mini computer HPC. Okay. And there was a lot of innovation going on around that time and then it just became too expensive and, and, and other things X 86 happened. And, and, but it feels like now we're entering a, a new era of, of HPC. Is that valid or is it true? What's that mean for HPC as an industry and for industry? >>Yeah, I think, I think it's a BR I think it's a breadth. Um, it's a market that's opening and getting much more broader the number of applications you can run, you know, and we've traditionally had, you know, scientific applications, obviously there's a ton in energy and, and you know, physics and some of the traditional areas that obviously the department of energy sponsor, but, you know, we saw this with, with even the COVID pandemic, right? Our, our supercomputers were used to identify the spike protein to, to help and validate and test these vaccines and bring them to market and record time. We saw some of the benefits of these breakthroughs. And I think it's this combination of that, that we actually have the data, you know, it's, it's digital, it's captured, um, we're capturing it at, you know, at the edge, we're capturing it and, and storing it obviously more broadly. So we have the access to the data and now we have the compute power to run it. And the other big thing is the techniques around artificial intelligence. I mean, what we're able to do with neural networks, computer vision, large language models, natural language processing. These are breakthroughs that, um, one require these large systems, but two, as you give them a large systems, you can actually really enable acceleration of how sophisticated these, these applications can get. >>Let's talk about the impact of the convergence of HPC and AI. What are some of the things that you're seeing now and what are some of the things that we're gonna see? >>Yeah. So, so I, one thing I like to talk about is it's, it's really, it's not a convergence. I think it's it. Sometimes it gets a little bit oversimplified. It's actually, it's traditional modeling and simulation leveraging machine learning to, to refine the simulation. And this is a, is one of the things we talk about a lot in AI, right? It's using machine learning to actually create code in real time, rather than humans doing it, that ability to refine the model as you're running. So we have an example. We did a, uh, we, we actually launched an open source solution called smart SIM. And the first application of that was climate science. And it's what it's doing is it's actually learning the data from the model as the simulation is running to provide more accurate climate prediction. But you think about that, that could be run for, you know, anything that has a complex model. >>You could run that for financial modeling, you can use AI. And so we're seeing things like that. And I think we'll continue to see that the other side of that is using modeling and simulation to actually represent what you see in AI. So we were talking about the grid. This is one of the Exoscale compute projects you could actually use once you actually get, get the data and you can start modeling the behavior of every electrical endpoint in a city. You know, the, the meter in your house, the substation, the, the transformers, you can start measuring the FX of that. You can then build equations. Well, once you build those equations, you can then take a model, cuz you've learned what actually happens in the real world, build the equation. And then you can provide that to someone who doesn't need a extra scale supercomputer to run it, but that, you know, your local energy company can better understand what's happening and they'll know, oh, there's a problem here. We need to shift the grid or respond more, more dynamically. And hopefully that avoids brownouts or, you know, some of the catastrophic outages we've >>Seen so they can deploy that model, which, which inherently has that intelligence on sort of more cost effective systems and then apply it to a much broader range. Do any of those, um, smart simulations on, on climate suggest that it's, it's all a hoax. You don't have to answer that question. <laugh> um, what, uh, >>The temperature outside Dave might, might give you a little bit of an argument to that. >>Tell us about quantum, what's your point of view there? Is it becoming more stable? What's H HPE doing there? >>Yeah. So, so look, I think there's, there's two things to understand with quantum there's quantum hardware, right? Fundamentally, um, how, um, how that runs very differently than, than how we run traditional computers. And then there's the applications. And ultimately a quantum application on quantum hardware will be far more efficient in the future than, than anything else. We, we see the opportunity for, uh, much like we see with, you know, with HPC and AI, we just talked about for quantum to be complimentary. It runs really well with certain applications that fabricate themselves as quantum problems and some great examples are, you know, the, the life sciences, obviously quantum chemistry, uh, you see some, actually some opportunities in, in, uh, in AI and in other areas where, uh, quantum has a very, very, it, it just lends itself more naturally to the behavior of the problem. And what we believe is that in the short term, we can actually model quantum effectively on these, on these super computers, because there's not a perfect quantum hardware replacement over time. You know, we would anticipate that will evolve and we'll see quantum accelerators much. Like we see, you know, AI accelerators today in this space. So we think it's gonna be a natural evolution in progression, but there's certain applications that are just gonna be solved better by quantum. And that's the, that's the future we'll we'll run into. And >>You're suggesting if I understood it correctly, you can start building those applications and, and at least modeling what those applications look like today with today's technology. That's interesting because I mean, I, I think it's something rudimentary compared to quantum as flash storage, right? When you got rid of the spinning disc, it changed the way in which people thought about writing applications. So if I understand it, new applications that can take advantage of quantum are gonna change the way in which developers write, not one or a zero it's one and virtually infinite <laugh> combinations. >>Yeah. And I actually, I think that's, what's compelling about the opportunity is that you can, if you think about a lot of traditional the traditional computing industry, you always had to kind of wait for the hardware to be there, to really write, write, and test the application. And we, you know, we even see that with our customers and HPC and, and AI, right? They, they build a model and then they, they actually have to optimize it across the hardware once they deploy it at scale. And with quantum what's interesting is you can actually, uh, you can actually model and, and, and make progress on the software. And then, and then as the hardware becomes available, optimize it. And that's, you know, that's why we see this. We talk about this concept of quantum accelerators as, as really interesting, >>What are the customer conversations these days as there's been so much evolution in HPC and AI and the technology so much change in the world in the last couple of years, is it elevating up the CS stack in terms of your conversations with customers wanting to become familiar with Exoscale computing? For example? >>Yeah. I, I think two things, uh, one, one is we see a real rise in digital sovereignty and Exoscale and HPC as a core fund, you know, fundamental foundation. So you see what, um, you know, what Europe is doing with the, the, the Euro HPC initiative, as one example, you know, we see the same kind of leadership coming out of the UK with the system. We deployed with them in Archer two, you know, we've got many customers across the globe deploying next generation weather forecasting systems, but everybody feels, they, they understand the foundation of having a strong supercomputing and HPC capability and competence and not just the hardware, the software development, the scientific research, the, the computational scientists to enable them to remain competitive economically. It's important for defense purposes. It's important for, you know, for helping their citizens, right. And providing, you know, providing services and, and betterment. >>So that's one, I'd say that's one big theme. The other one is something Dave touched on before around, you know, as a service and why we think HP GreenLake will be, uh, a beautiful marriage with our, with our HPC and AI systems over time, which is customers also, um, are going to scale up and build really complex models. And then they'll simplify them and deploy them in other places. And so there's a number of examples. We see them, you know, we see them in places like oil and gas. We see them in manufacturing where I've gotta build a really complex model, figure out what it looks like. Then I can reduce it to a, you know, to a, uh, certain equation or application that I can then deploy. So I understand what's happening and running because you, of course, as much as I would love it, you're not gonna have, uh, every enterprise around the world or every endpoint have an exit scale system. Right. So, so that ability to, to, to really provide an as a service element with HP GreenLake, we think is really compelling. >>HP's move into HPC, the acquisitions you've made it really have become a differentiator for the company. Hasn't it? >>Yeah. And I, and I think what's unique about us today. If you look at the landscape is we're, we're really the only system provider globally. Yeah. You know, there are, there are local players that we compete with. Um, but we are the one true global system provider. And we're also the only, I would say the only holistic innovator at the system level to, to, you know, to credit my team on the work they're doing. But, you know, we're, we're also very committed to open standards. We're investing in, um, you know, in a number of places where we contribute the dev the software assets to open source, we're doing work with standards bodies to progress and accelerate the industry and enable the ecosystem. And, uh, and I think that, you know, ultimately the, the, the last thing I'd say is we, we are so connected in, um, with, through our, through the legacy or the, the legend of H Hewlett Packard labs, which now also reports into me that we have these really tight ties into advanced research and that some of that advanced research, which isn't just, um, around kind of core processing Silicon is really critical to enabling better applications, better use cases and accelerating the outcomes we see in these systems going forward. >>Can >>You double click on that? I, I, I wasn't aware that kind of reported into your group. Yeah. So, you know, the roots of HP are invent, right? Yeah. HP labs are, are renowned. It kinda lost that formula for a while. And now it's sounds like it's coming back. What, what, what are some of the cool things that you guys are working on? Well, >>You know, let me, let me start with a little bit of recent history. So we just talked about the exo scale program. I mean, that was a, that's a great example of where we had a public private partnership with the department of energy and it, and it wasn't just that we, um, you know, we built a system and delivered it, but if you go back a decade ago, or five years ago, there were, there were innovations that were built, you know, to accelerate that system. One is our Slingshot fabric as an example, which is a core enable of, of acceler, you know, of, of this accelerated computing environment, but others in software applications and services that allowed us to, you know, to really deliver a, a complete solution into the market. Um, today we're looking at things around trustworthy and ethical AI, so trustworthy AI in the sense that, you know, the models are accurate, you know, and that's, that's a challenge on two dimensions, cuz one is the, model's only as good as the data it's studying. >>So you need to validate that the data's accurate and then you need to really study how, you know, how do I make sure that even if the data is accurate, I've got a model that then, you know, is gonna predict the right things and not call a, a dog, a cat, or a, you know, a, a cat, a mouse or whatever that is. But so that's important. And, uh, so that's one area. The other is future system architectures because, um, as we've talked about before, Dave, you have this constant tension between the fabric, uh, you know, the interconnect, the compute and the, and the storage and, you know, constant, constantly balancing it. And so we're really looking at that, how do we do more, you know, shared memory access? How do we, you know, how do we do more direct rights? Like, you know, looking at some future system architectures and thinking about that. And we, you know, we think that's really, really critical in this part of the business because these heterogeneous systems, and not saying I'm gonna have one monolithic application, but I'm gonna have applications that need to take advantage of different code, different technologies at different times. And being able to move that seamlessly across the architecture, uh, we think is gonna be the, you know, a part of the, the hallmark of the Exoscale era, including >>Edge, which is a completely different animal. I think that's where some disruption is gonna gonna bubble up here in the next decade. >>So, yeah know, and, and that's, you know, that's the last thing I'd say is, is we look at AI at scale, which is another core part of the business that can run on these large clusters. That means getting all the way down to the edge and doing inference at scale, right. And, and inference at scale is, you know, I, I was, um, about a month ago, I was at the world economic forum. We were talking about the space economy and it's a great, you know, to me, it's the perfect example of inference, because if you get a set of data that you know, is, is out at Mars, it doesn't matter whether, you know, whether you wanna push all that data back to, uh, to earth for processing or not. You don't really have a choice, cuz it's just gonna take too long. >>Don't have that time. Justin, thank you so much for spending some of your time with Dave and me talking about what's going on with HBC and AI. The frontier just seems endless and very exciting. We appreciate your time on your insights. >>Great. Thanks so much. Thanks. >>Yes. And don't call a dog, a cat that I thought I learned from you. A dog at no, Nope. <laugh> Nope. <laugh> for Justin and Dave ante. I'm Lisa Martin. You're watching the Cube's coverage of day one from HPE. Discover 22. The cube is, guess what? The leader, the leader in live tech coverage will be right back with our next guest.

>>from around >>the globe. It's >>the cube presenting future >>Cloud one >>event. A >>world of opportunities >>brought to you by Cisco. >>Okay. We're here with costume. Does, who is the Senior Vice President, General Manager of Cloud and compute at Cisco And VJ Venugopal, who is the Senior Director for Product management for Cloud, compute at Cisco. KTV J Good to see you guys welcome. >>Great to see you. Dave >>to be here. >>Katie. Let's talk about cloud. You. And I, last time we're face to face was in Barcelona where we love talking about cloud. And I always say to people look, Cisco is not a hyper scaler, but the big public cloud players, they're like giving you a gift. They spent almost actually over $100 billion last year on Capex. The big four. So you can build on that infrastructure. Cisco is all about hybrid cloud. So help us understand the strategy. There may be how you can leverage that build out and importantly what a customer is telling you they want out of hybrid cloud. >>Yeah, no, that's that's that's a perfect question to start with Dave. So yes, so the hybrid hyper scholars have invested heavily building out their assets. There's a great lot of innovation coming from that space. Um there's also a great innovation set of innovation coming from open source and and that's another source of uh a gift, in fact the I. T. Community. But when I look at my customers, they're saying, well how do I in the context of my business, implement a strategy that takes into consideration everything that I have to manage um in terms of my contemporary work clothes, in terms of my legacy, in terms of everything my developer community wants to do on devops and really harness that innovation that's built in the public cloud, that built an open source that built internally to me and that naturally leads them down the path of a hybrid cloud strategy. And Siskel's mission is to provide for that imperative, the simplest, more power, more powerful platform to deliver hybrid cloud. And that platform uh is inter site, we've been investing in Inner side, it's a it's a SAS um service um inner side delivers to them that bridge between their estates of today. There were clothes of today, the need for them to be guardians of enterprise grade resiliency with the agility uh that's needed for the future. The embracing of cloud, Native of new paradigms of deVOPS models, the embracing of innovation coming from public cloud and an open source and bridging those two is what inner side has been doing. That's kind of, that's kind of the crux of our strategy. Of course, we have the entire portfolio behind it to support any any version of that, Whether that is on prem in the cloud, hybrid, cloud, multi, cloud and so forth. >>But but if I understand it correctly from what I heard earlier today, the inter site is really a linchpin of that strategy, is it not? >>It really is and may take a second to uh to totally familiarize those who don't know inner side with what it is. We started building this platform quite a few years back and we we built a ground up to be an immensely scalable SAs super simple hybrid cloud platform and it's a platform that provides a slew of service is inherently. And then on top of that there are suites of services, the sweets of services that are tied to infrastructure, automation. Cisco, as well as Cisco partners, their suite of services that have nothing to do with Cisco um products from a hardware perspective and it's got to do with more cloud orchestration and cloud native and inner side and its suite of services um continue to kind of increase in pace and velocity of delivery video. It's just over the last two quarters we've announced a whole number of things will go a little bit deeper into some of those, but they span everything from infrastructure automation to kubernetes and delivering community than service to workload optimization and having visibility into your cloud estate. How much it's costing into your on premise state into your work clothes and how they're performing. It's got integrations with other tooling with both Cisco Abdi uh as well as non Cisco um, assets. And then and then it's got a whole slew of capabilities around orchestration because at the end of the day, the job of it is to deliver something that works and works at scale that you can monitor and make sure is resilient and that includes that. That includes a workflow and ability to say, you know, do this and do this and do this. Or it includes other ways of automation, like infrastructure as code and so forth. So it includes self service that so that expand that. But inside the world's simplest hybrid cloud platform, rapidly evolving rapidly delivering new services. And uh, we'll talk about some more of those days. >>Great. Thank you. Katie VJ Let's bring you into the discussion. You guys recently made an announcement with the ASCII corp. I was stoked because even though it seemed like a long time ago, pre covid, I mean in my predictions post, I said, ha she was a name to watch our data partners. Et are you look at the survey data and they really have become mainstream. You know, particularly we think very important in the whole multi cloud discussion. And as well, they're attractive to customers. They have open source offerings. You can very easily experiment, smaller organizations can take advantage, but if you want to upgrade to enterprise features like clustering or whatever, you can plug right in. Not a big complicated migration. So a very, very compelling story there. Why is this important? Why is this partnership important to Cisco's customers? >>Mhm. Absolutely. When the spot on every single thing that you said, let me just start by paraphrasing what ambition statement is in the cloud and compute group right ambition statement is to enable a cloud operating model for hybrid cloud. And what we mean by that is the ability to have extreme amounts of automation orchestration and observe ability across your hybrid cloud idea operations now. Uh So developers >>and applications >>team get a great amount of agility in public clouds and we're on a mission to bring that kind of agility and automation to the private cloud and to the data centers. And inter site is a quickie platform and lynchpin to enable that kind of operations. Uh, Cloud like operations in the in the private clouds and the key uh as you rightly said, harsher Carp is the, you know, they were the inventors of the concept of infrastructure at school and in terra form, they have the world's number one infrastructure as code platform. So it became a natural partnership for Cisco to enter into a technology partnership with Harsher Card to integrate inter site with hardship cops, terra form to bring the benefits of infrastructure as code to the to hybrid cloud operations. And we've entered into a very tight integration and uh partnership where we allow developers devops teams and infrastructure or administrators to allow the use of infrastructure as code in a SAS delivered manner for both public and private club. So it's a very unique partnership and a unique integration that allows the benefits of cloud managed. I see to be delivered to hybrid cloud operations and we've been very happy and proud to be partnering with Russia Carbonara. >>Yeah, telephone gets very high marks from customers. The a lot of value there, the inner side integration adds to that value. Let's stay on cloud Native for a minute. We all talk about cloud native cady was sort of mentioning before you got the the core apps uh you want to protect those, make sure their enterprise create but they gotta be cool as well for developers. You're connecting to other apps in the cloud or wherever. How are you guys thinking about this? Cloud native trend. What other movies are you making in this regard? >>I mean cloud Native is there is one of the paramount I. D. Trends of today and we're seeing massive amounts of adoption of cloud native architecture in all modern applications. Now. Cloud native has become synonymous with kubernetes these days and communities has emerged as a de facto cloud native platform for modern cloud native app development. Now, what Cisco has done is we have created a brand new SAs delivered kubernetes service that is integrated with inter site, we call it the inter site community service for a. Ks and this just gave a little over one month ago now, what interstate Kubernetes service does is it delivers a cloud managed and cloud delivered kubernetes service that can be deployed on any supportive target infrastructure. It could be a Cisco infrastructure, it could be a third party infrastructure or it could even be public club. But think of it as kubernetes anywhere delivered, as says, managed from inside. It's a very powerful capability that we've just released into inter site to enable the power of communities and cognitive to be used to be used anywhere. But today we made a very important aspect because we have today announced the brand new Cisco service mess manager. The Cisco service mesh manager, which is available as an extension to I K s are doing decide basically we see service measures as being the future of networking. Right in the past we had layer to networking and layer three networking and now with service measures, application networking and layer seven networking is the next frontier of of networking. But you need to think about networking for the application age very differently, how it is managed, how it is deployed, it needs to be ready, developer friendly and developer centric. And so what we have done is we've built out an application networking strategy and built out the service match manager as a very simple way to deliver application networking through the consumers, like like developers and application teams. This is built on an acquisition that Cisco made recently of Banzai Cloud. And we've taken the assets of Banzai Cloud and deliver the Cisco service mash Manager as an extension to KS. That brings the promise of future networking and modern networking to application and development gives >>God thank you BJ. And so Katie, let's let's let's wrap this up. I mean, there was a lot in this announcement today, a lot of themes around openness, heterogeneity and a lot of functionality and value. Give us your final thoughts. >>Absolutely. So couple of things to close on. First of all. Um, inner side is the simplest, most powerful hybrid cloud platform out there. It enables that that cloud operating model that VJ talked about but enables that across cloud. So it's sad, it's relatively easy to get into it and give it a spin so that I'd highly encouraged anybody who's not familiar with it to try it out and anybody who is familiar with it to look at it again, because they're probably services in there that you didn't notice or didn't know last time you looked at it because we're moving so fast. So that's the first thing, the second thing I close with is, um we've been talking about this bridge that's kind of bridging, bridging uh your your on prem your open source, your cloud estates. And it's so important to to make that mental leap because uh in past generation we used to talk about integrating technologies together and then with Public cloud, we started talking about move to public cloud, but it's really how do we integrate, how do we integrate all of that innovation that's coming from the hyper scale is everything they're doing to innovate superfast. All of that innovation is coming from open source, all of that innovation that's coming from from companies around the world including Cisco. How do we integrate that to deliver an outcome? Because at the end of the day, if you're a cloud of Steam, if you're an idea of Steam, your job is to deliver an outcome and our mission is to make it super simple for you to do that. That's the mission we're on and we're hoping that everybody that's excited as we are about how simple we made that. >>Great, thank you a lot in this announcement today, appreciate you guys coming back on and help us unpack you know, some of the details. Thanks so much. Great having you. >>Thank you. Dave. >>Thank you everyone for spending some time with us. This is Dave Volonte and you're watching the cube, the leader in tech event >>coverage. >>Mm mm.