>>Welcome back to The Cube's coverage of Supercomputing Conference 2022, otherwise known as SC 22 here in Dallas, Texas. This is day three of our coverage, the final day of coverage here on the exhibition floor. I'm Dave Nicholson, and I'm here with my co-host, tech journalist extraordinaire, Paul Gillum. How's it going, >>Paul? Hi, Dave. It's going good. >>And we have a wonderful guest with us this morning, Dr. Panda from the Ohio State University. Welcome Dr. Panda to the Cube. >>Thanks a lot. Thanks a lot to >>Paul. I know you're, you're chopping at >>The bit, you have incredible credentials, over 500 papers published. The, the impact that you've had on HPC is truly remarkable. But I wanted to talk to you specifically about a product project you've been working on for over 20 years now called mva, high Performance Computing platform that's used by more than 32 organ, 3,200 organizations across 90 countries. You've shepherded this from, its, its infancy. What is the vision for what MVA will be and and how is it a proof of concept that others can learn from? >>Yeah, Paul, that's a great question to start with. I mean, I, I started with this conference in 2001. That was the first time I came. It's very coincidental. If you remember the Finman Networking Technology, it was introduced in October of 2000. Okay. So in my group, we were working on NPI for Marinette Quadrics. Those are the old technology, if you can recollect when Finman was there, we were the very first one in the world to really jump in. Nobody knew how to use Infin van in an HPC system. So that's how the Happy Project was born. And in fact, in super computing 2002 on this exhibition floor in Baltimore, we had the first demonstration, the open source happy, actually is running on an eight node infinite van clusters, eight no zeros. And that was a big challenge. But now over the years, I means we have continuously worked with all infinite van vendors, MPI Forum. >>We are a member of the MPI Forum and also all other network interconnect. So we have steadily evolved this project over the last 21 years. I'm very proud of my team members working nonstop, continuously bringing not only performance, but scalability. If you see now INFIN event are being deployed in 8,000, 10,000 node clusters, and many of these clusters actually use our software, stack them rapid. So, so we have done a lot of, like our focuses, like we first do research because we are in academia. We come up with good designs, we publish, and in six to nine months, we actually bring it to the open source version and people can just download and then use it. And that's how currently it's been used by more than 3000 orange in 90 countries. And, but the interesting thing is happening, your second part of the question. Now, as you know, the field is moving into not just hvc, but ai, big data, and we have those support. This is where like we look at the vision for the next 20 years, we want to design this MPI library so that not only HPC but also all other workloads can take advantage of it. >>Oh, we have seen libraries that become a critical develop platform supporting ai, TensorFlow, and, and the pie torch and, and the emergence of, of, of some sort of default languages that are, that are driving the community. How, how important are these frameworks to the, the development of the progress making progress in the HPC world? >>Yeah, no, those are great. I mean, spite our stencil flow, I mean, those are the, the now the bread and butter of deep learning machine learning. Am I right? But the challenge is that people use these frameworks, but continuously models are becoming larger. You need very first turnaround time. So how do you train faster? How do you do influencing faster? So this is where HPC comes in and what exactly what we have done is actually we have linked floor fighters to our happy page because now you see the MPI library is running on a million core system. Now your fighters and tenor four clan also be scaled to to, to those number of, large number of course and gps. So we have actually done that kind of a tight coupling and that helps the research to really take advantage of hpc. >>So if, if a high school student is thinking in terms of interesting computer science, looking for a place, looking for a university, Ohio State University, bruns, world renowned, widely known, but talk about what that looks like from a day on a day to day basis in terms of the opportunity for undergrad and graduate students to participate in, in the kind of work that you do. What is, what does that look like? And is, and is that, and is that a good pitch to for, for people to consider the university? >>Yes. I mean, we continuously, from a university perspective, by the way, the Ohio State University is one of the largest single campus in, in us, one of the top three, top four. We have 65,000 students. Wow. It's one of the very largest campus. And especially within computer science where I am located, high performance computing is a very big focus. And we are one of the, again, the top schools all over the world for high performance computing. And we also have very strength in ai. So we always encourage, like the new students who like to really work on top of the art solutions, get exposed to the concepts, principles, and also practice. Okay. So, so we encourage those people that wish you can really bring you those kind of experience. And many of my past students, staff, they're all in top companies now, have become all big managers. >>How, how long, how long did you say you've been >>At 31 >>Years? 31 years. 31 years. So, so you, you've had people who weren't alive when you were already doing this stuff? That's correct. They then were born. Yes. They then grew up, yes. Went to university graduate school, and now they're on, >>Now they're in many top companies, national labs, all over the universities, all over the world. So they have been trained very well. Well, >>You've, you've touched a lot of lives, sir. >>Yes, thank you. Thank >>You. We've seen really a, a burgeoning of AI specific hardware emerge over the last five years or so. And, and architectures going beyond just CPUs and GPUs, but to Asics and f PGAs and, and accelerators, does this excite you? I mean, are there innovations that you're seeing in this area that you think have, have great promise? >>Yeah, there is a lot of promise. I think every time you see now supercomputing technology, you see there is sometime a big barrier comes barrier jump. Rather I'll say, new technology comes some disruptive technology, then you move to the next level. So that's what we are seeing now. A lot of these AI chips and AI systems are coming up, which takes you to the next level. But the bigger challenge is whether it is cost effective or not, can that be sustained longer? And this is where commodity technology comes in, which commodity technology tries to take you far longer. So we might see like all these likes, Gaudi, a lot of new chips are coming up, can they really bring down the cost? If that cost can be reduced, you will see a much more bigger push for AI solutions, which are cost effective. >>What, what about on the interconnect side of things, obvi, you, you, your, your start sort of coincided with the initial standards for Infin band, you know, Intel was very, very, was really big in that, in that architecture originally. Do you see interconnects like RDMA over converged ethernet playing a part in that sort of democratization or commoditization of things? Yes. Yes. What, what are your thoughts >>There for internet? No, this is a great thing. So, so we saw the infinite man coming. Of course, infinite Man is, commod is available. But then over the years people have been trying to see how those RDMA mechanisms can be used for ethernet. And then Rocky has been born. So Rocky has been also being deployed. But besides these, I mean now you talk about Slingshot, the gray slingshot, it is also an ethernet based systems. And a lot of those RMA principles are actually being used under the hood. Okay. So any modern networks you see, whether it is a Infin and Rocky Links art network, rock board network, you name any of these networks, they are using all the very latest principles. And of course everybody wants to make it commodity. And this is what you see on the, on the slow floor. Everybody's trying to compete against each other to give you the best performance with the lowest cost, and we'll see whoever wins over the years. >>Sort of a macroeconomic question, Japan, the US and China have been leapfrogging each other for a number of years in terms of the fastest supercomputer performance. How important do you think it is for the US to maintain leadership in this area? >>Big, big thing, significantly, right? We are saying that I think for the last five to seven years, I think we lost that lead. But now with the frontier being the number one, starting from the June ranking, I think we are getting that leadership back. And I think it is very critical not only for fundamental research, but for national security trying to really move the US to the leading edge. So I hope us will continue to lead the trend for the next few years until another new system comes out. >>And one of the gating factors, there is a shortage of people with data science skills. Obviously you're doing what you can at the university level. What do you think can change at the secondary school level to prepare students better to, for data science careers? >>Yeah, I mean that is also very important. I mean, we, we always call like a pipeline, you know, that means when PhD levels we are expecting like this even we want to students to get exposed to, to, to many of these concerts from the high school level. And, and things are actually changing. I mean, these days I see a lot of high school students, they, they know Python, how to program in Python, how to program in sea object oriented things. Even they're being exposed to AI at that level. So I think that is a very healthy sign. And in fact we, even from Ohio State side, we are always engaged with all this K to 12 in many different programs and then gradually trying to take them to the next level. And I think we need to accelerate also that in a very significant manner because we need those kind of a workforce. It is not just like a building a system number one, but how do we really utilize it? How do we utilize that science? How do we propagate that to the community? Then we need all these trained personal. So in fact in my group, we are also involved in a lot of cyber training activities for HPC professionals. So in fact, today there is a bar at 1 1 15 I, yeah, I think 1215 to one 15. We'll be talking more about that. >>About education. >>Yeah. Cyber training, how do we do for professionals? So we had a funding together with my co-pi, Dr. Karen Tom Cook from Ohio Super Center. We have a grant from NASA Science Foundation to really educate HPT professionals about cyber infrastructure and ai. Even though they work on some of these things, they don't have the complete knowledge. They don't get the time to, to learn. And the field is moving so fast. So this is how it has been. We got the initial funding, and in fact, the first time we advertised in 24 hours, we got 120 application, 24 hours. We couldn't even take all of them. So, so we are trying to offer that in multiple phases. So, so there is a big need for those kind of training sessions to take place. I also offer a lot of tutorials at all. Different conference. We had a high performance networking tutorial. Here we have a high performance deep learning tutorial, high performance, big data tutorial. So I've been offering tutorials at, even at this conference since 2001. Good. So, >>So in the last 31 years, the Ohio State University, as my friends remind me, it is properly >>Called, >>You've seen the world get a lot smaller. Yes. Because 31 years ago, Ohio, in this, you know, of roughly in the, in the middle of North America and the United States was not as connected as it was to everywhere else in the globe. So that's, that's pro that's, I i it kind of boggles the mind when you think of that progression over 31 years, but globally, and we talk about the world getting smaller, we're sort of in the thick of, of the celebratory seasons where, where many, many groups of people exchange gifts for varieties of reasons. If I were to offer you a holiday gift, that is the result of what AI can deliver the world. Yes. What would that be? What would, what would, what would the first thing be? This is, this is, this is like, it's, it's like the genie, but you only get one wish. >>I know, I know. >>So what would the first one be? >>Yeah, it's very hard to answer one way, but let me bring a little bit different context and I can answer this. I, I talked about the happy project and all, but recently last year actually we got awarded an S f I institute award. It's a 20 million award. I am the overall pi, but there are 14 universities involved. >>And who is that in that institute? >>What does that Oh, the I ici. C e. Okay. I cycle. You can just do I cycle.ai. Okay. And that lies with what exactly what you are trying to do, how to bring lot of AI for masses, democratizing ai. That's what is the overall goal of this, this institute, think of like a, we have three verticals we are working think of like one is digital agriculture. So I'll be, that will be my like the first ways. How do you take HPC and AI to agriculture the world as though we just crossed 8 billion people. Yeah, that's right. We need continuous food and food security. How do we grow food with the lowest cost and with the highest yield? >>Water >>Consumption. Water consumption. Can we minimize or minimize the water consumption or the fertilization? Don't do blindly. Technologies are out there. Like, let's say there is a weak field, A traditional farmer see that, yeah, there is some disease, they will just go and spray pesticides. It is not good for the environment. Now I can fly it drone, get images of the field in the real time, check it against the models, and then it'll tell that, okay, this part of the field has disease. One, this part of the field has disease. Two, I indicate to the, to the tractor or the sprayer saying, okay, spray only pesticide one, you have pesticide two here. That has a big impact. So this is what we are developing in that NSF A I institute I cycle ai. We also have, we have chosen two additional verticals. One is animal ecology, because that is very much related to wildlife conservation, climate change, how do you understand how the animals move? Can we learn from them? And then see how human beings need to act in future. And the third one is the food insecurity and logistics. Smart food distribution. So these are our three broad goals in that institute. How do we develop cyber infrastructure from below? Combining HP c AI security? We have, we have a large team, like as I said, there are 40 PIs there, 60 students. We are a hundred members team. We are working together. So, so that will be my wish. How do we really democratize ai? >>Fantastic. I think that's a great place to wrap the conversation here On day three at Supercomputing conference 2022 on the cube, it was an honor, Dr. Panda working tirelessly at the Ohio State University with his team for 31 years toiling in the field of computer science and the end result, improving the lives of everyone on Earth. That's not a stretch. If you're in high school thinking about a career in computer science, keep that in mind. It isn't just about the bits and the bobs and the speeds and the feeds. It's about serving humanity. Maybe, maybe a little, little, little too profound a statement, I would argue not even close. I'm Dave Nicholson with the Queue, with my cohost Paul Gillin. Thank you again, Dr. Panda. Stay tuned for more coverage from the Cube at Super Compute 2022 coming up shortly. >>Thanks a lot.

(tech music) >> Announcer: Live from Madrid, Spain, it's the CUBE, covering HPE Discover Madrid 2017 brought to you by Hewlett Packard Enterprise. >> Welcome back to Madrid everybody this is the CUBE. The leader in live tech coverage. This is day one of our coverage of HPE Discover 2017. I'm Dave Vollante with my co-host Peter Burris. Jim Jackson is here, he's the senior vice president of the Enterprise Group at Hewlett Packard Enterprise. >> Happy to be here. Good to see you again and Jason Newton, vice president of global marketing at Hewlett Packard Enterprise. Guys, it wouldn't be a Discover without some big news, transitioning to Antonio. We're about to hear the key note but Jim, set up the week for us. The big news that we can expect. Show us a little leg. >> Yeah well first of all, thanks for having us here guys. We're really excited for this week. It's gonna be probably one of our biggest weeks of innovation. We've got a pretty amazing Discover lined up. So you're gonna see us talk about AI in the data center, so bringing predictive analytics from our Nimble acquisition it's called info site. We're extending that to three par so that really helps our customers predict and anticipate problems and solve them in advance. So that's really software-based leading with that. Another area is we're bringing consumption-based capabilities. A whole new suite of consumption offerings. We're branding it HPE Green Lake and it's really, think of purpose-built solutions for things like backup, SAP, data like environments but it's really outcomes as a service. So we're not able to give our customers the ability to have infrastructure as a service, and now outcomes as a service. And the other part of making hybrid IT simple that you're gonna hear about is how we're really helping our customers unify and manage that multi cloud environment. So applications are sitting in public clouds, private clouds, what we're hearing from our customers is, hey we need to be able to manage this a lot easier and have holistic ability to see all of that. So you're gonna see us talk about that on main stage as well. So new brands, a lot of innovation. We've also got some partnerships that we'll be rolling out later today. So a lot happening. >> Jason, you've spent a lot of time, sweat, toil, blood on branding. Obviously you're a big part of the branding exercise. Up leveling the messaging, we had you on two or three years ago, and you said, look, we're gonna change things. We're gonna shift the focus from product and widgets and really talk about what customers care about. How has that gone? Where are you at with that? It resonates extremely well with customers. In fact we just got out of a panel where we had four of our top customers, ABV, Dreamworks, IKEA and Nokia. And we just spent an hour just talking about their digital transformation journey and what they're all about. The room was packed. I think we had over 400 people who were in there. That's showing that we can be an innovation partner to those customers enabling them to share their stories at a venue like this is really powerful. >> We're becoming much more software and services led and it's really all about experiences. Providing that experience that our customers are looking for. >> Just follow up to that, so a lot of people think oh well HP, spun merge it's software business but you're leading with services and software. So help us clear that. >> We're doing a ton in software today. So if you just think of our software portfolio. We have HP 1V to manage our customers complete infrastructure estate, service storage and networking. We extended that last year with composability so HP and Synergy, we have over a thousand new customers since we announced that last year actually at this event. So we're seeing a lot of progress. Synergy enables our customers to really have one environment that can flex to the needs of multiple different applications so reduces over provisioning. AI, I talked about AI in the data center. So what we're doing with info site, that's software based, we're extending that to 3PAR and you'll see us extend that to other parts of the portfolio going forward. Nyara, and on the Aruba side of the house, software based. Aruba is very software centric and then of course, we'll be announcing this afternoon our code name project new stack, really about helping to manage that multi cloud environment. A lot happening in the software space and an area that we're very focused on. >> One of the things... By the way, we think that those three things that you mentioned, automation in the data center, on-premise capabilities and a cross multi cloud approach to management and managing your assets, absolutely spot-on. And we think ultimately and here's a question, we think that what's going to drive the determination is what does the data need? So talk to us a little bit about how you are articulating the idea of data as the new value source, the new value and hardware infrastructure and software and these capabilities, making it possible for the work to exist where the data requires. >> Yeah and I'll start maybe you can pile on a little bit. Our conversation starts with apps and data so we're starting the dialogue there and you know what we're seeing is you know really moving from large data centers, or only large data centers to centers of data that are really everywhere, right? So we're starting to see that edge really starting to proliferate and drive a lot more change, and what our customers are saying is wherever might, regardless of where my data sits, I need to manage it, I need to secure it, I need to process it, I need to be able to translate it into insight and that's really what our strategy is all about. We've been talking for the last couple of years about making hybrid IT simple. and we're really doing a lot in that space. So for example, we announced the acquisition of cloud technology partners and really what we're trying to do there it's the foremost authority really in helping customers understand how to migrate applications to to AWS or even to Google or Azure, and when you combine that with our on-prem capabilities, it really now starts to talk about data, we want to say your data is what matters and we want to help you manage that holistically. The software investments that we're doing enable you to have that complete view. And then from a consumption perspective, some of the things I talked about earlier, rolling that out right, making it easier to consume this as a service and only pay for what I use. So, we are in alignment. It all starts with data and wherever that data sits, it's how do I manage it? >> And that's why Aruba is such a great asset for us, because a lot of people think about Aruba as you know, you just replace copper wire and WiFi ... And hey, don't get me wrong, it's a money-making great business, but if you'd asked Kierty, he'd probably say we're a data business, right? >> Peter: We did ask him, and that is what he said. >> Is that what he said? Well, good, we're on message then. We're on message today, alright, yeah. I mean, because that's where the action is happening, that's where the data is being created, and so everything that they're doing around the the security 360 platform, the mobile first platform, everything is centered around, how do I draw a value in context from that data? >> Well I want to ask you about Aruba, because when you acquired Aruba, we said wow, this is a great business, it's gonna be a growth business, but is it a strategic weapon for HPE? Is it a strategic infrastructure component? From a messaging standpoint, It's all about the intelligent edge, that you've up-leveled that. Where'd that come from? Maybe take us through sort of the anatomy of-- >> Well I mean, the message is just exactly what we were saying. That if if value is gonna be created at the edge, if the data's gonna be coming from the edge, we have to drive a whole lot more intelligence into that edge in order to collect, process, analyze, secure the data that's coming in and make use of it, right? So I mean, that's where the genesis of the intelligent edge came from. >> Yeah, I mean I would say the other thing about Aruba that we're really seeing is all about experiences. So when we talk to our customers about Aruba, they're looking to deliver a different experience. Whether it's in retail, whether it's in stadiums, whether it's in the campus space. It's all about delivering a better experience. And that's really the value prop behind Aruba. Very software centric, open software, mobile solution. The other thing is, it's enabling us to engage more and more with parts of the company, customers that we might not have had as much engagement before. You know, the c-suite, you know, talking more with the line of business. because what they're focused on is how do I deliver that better experience? And Aruba's really playing a key role in doing that. We also have the view that ultimately, and you started the conversation about data, and we totally agree. But it has to be thought of from the edge, to the core, to the cloud. So whether we engage with Aruba, whether we engage with our core data center, capabilities, and our strengths there, or with services ... That's enabling us to holistically have a much more strategic conversation with our customers. So we're excited about that. >> I'd like to dig a little bit on this notion of AI for the data center, or AI for managing IT (mumbles). We'd like to talk about the difference between a breadth-first, which is I'm gonna do this, like in this big broad way, and we'll figure out how we're gonna get the components to participate, versus a depth-first. Which is, let's lean on suppliers, who know that hardware, know the software best, and ask them to create simulacrums, you know, digital representations that then will allow me to apply AI machine learning, et cetera. We like the depth-first approach, but customers ultimately want to see this bloom into a breadth approach. Talk to us a little bit about how individual elements are being represented, but in a coherent consistent way, so that you can get to a broader, overall set of automation across entire infrastructure. >> Well, I mean, I think that you're seeing the paradigm shift now. I mean for decades we've been chasing this idea that we can make the one tool to rule them all, this sort of magic management environment, one single pane of glass, everyone says that right? >> I've written a lot of research papers that suggested that, right? >> Right? And look, I think that's, we're done, alright? And the only thing we can do now is, how do we embed intelligence to make the infrastructure so smart it can take care of itself? And that's ultimately the experience that our customers are telling us that they want, right? Is, I don't want to be an expert on IT anymore. I don't wanna touch this stuff, I don't want to deal with it. >> Peter: Not just want, need. >> Right? I can't handle it, right? I mean, the scale and speed of everything is beyond the capacity ... I can't hire enough people to take care of it. So you know, I think starting there and saying, okay we're gonna start embedding that type of intelligence. Right now it's mostly predictive analytics type of stuff, but increasingly you're gonna see more true AI come in not just in the data center, with what we're doing with Nimble, right? But also with Nyara. Now we call it introspect, right at the edge. How do we start weaving that across to do a variety of things? Whether it's maintenance or performance optimization, or security. I think thinking of it like a continuous platform across the infrastructure is gonna give you that depth and kind of breadth of control that you're looking for. >> So that leads to kind of an ecosystem question, and I liked your comments on that. Because the question of breadth or depth, the answer is yes, you got to have both. The ecosystem posture has totally changed in the last year or so, subsequent. Because we had PWC on today. We've had Veam on earlier. These are-- >> Jason: They love us. Partners that you're putting forth, yeah. >> Jason: We're making them money. >> For sure, right. But they are partners that previously, you know, you wouldn't have profiled. Whether on stage, on the Cube, wherever. >> Jason: Yeah. >> How has the ecosystem evolved? >> I mean it's opening up a whole new set of opportunities for us. You know, if you think of when we had ES, a lot of people just felt like, hey we were gonna compete with them, right? Now that ES has spun out, we actually created another great partner in ES, but we've got a whole host of other SIs that want to engage with us. They want to take our capabilities in IT systems. Our consumption capabilities, and then align it with a value prop that they'll bring. So you talked about Veam for example, right? Data availability is really, really important for customers. So taking HPE and Veam together, we're able to deliver a great solution from data protection to recovery. Really powerful stuff, and we're seeing some great opportunities out there in the marketplace, and a very strong ROI. I mean, we have some data that says, hey over five years, is a 200% ROI. Another area, when you think of just partnering, right? Is what we're doing with our channel partners. So we're giving them more solutions that are channel centric, that we're driving through our channel organization, yeah. And then, we just announced a relationship a couple weeks ago with Rackspace. It's a managed private cloud, open source solution. We're using our consumption capabilities, combined with with Rackspace, their environment. And this is giving our customers the flexibility to now spin up very quickly, a private cloud environment that they're looking for with a lot of the public cloud capabilities. Very strong economics behind it. And then the edge, that's the other area we're seeing lots of new partnering opportunities as the edge continues to expand. So we believe that innovation is a team sport, and we're leaning in really hard, and I know you know the Gartner's and the IDCs don't track who are the best partners, but I think if they did, we would be at the top of the list. >> Well, probably a lot of this activity was going on previously, so it's not like you're starting from ground zero. >> Jim: Correct. >> But you just, from a marketing standpoint, you really didn't talk about it, because you had colleagues, whether it was from EDS or the software division that's saying, hey, don't talk about that, help us out here. So, how has that changed the way in which you market? One of the big values is your go-to-market. I mean, people are drooling to now partner with HPE. >> Yeah, and one of the big reasons is honestly, is point next. Because they see the value in what Accenture or PwC, or Wipro can bring from understanding a business, or whatever, versus the deep technical knowledge of a point next to come in, and what they really love is the consumption model stuff that we've been able to wrap around it. They see that customers want, that in order to move fast with less risk, right? You've gotta have some sort of financial lever that says, okay, I can start small and I can grow over time. I'm not putting all my money out in one place and we've been building that with flex capacity over the last several years. You're gonna see, well, I guess we announced yesterday, a new Green Lake ... Making that even simpler to consume. Every one of our partner says, I wanna take your IT expertise in that consumption based model and wrap it around a total solution. And that's what's like white-hot right now, and there's unlimited opportunity right now from ... As Jim said, edge to core to cloud. >> And we have another one we're gonna announce on stage in a couple of hours, so we're pretty excited about that as well. >> Well, you see that in the numbers too, yeah. >> Jason: I think we might have a clue what that is. >> We're excited about that. >> Yeah, I know, it is. Well, look, and you kind of you kind of gave something of a preview when you talked about the three things that you want to be able to do. Because there's one brand that hasn't been mentioned yet. But ultimately the business is recognizing that the technology questions that we're raising here are crucial to their future success, but they don't want them to be a continuous source of antagonism. >> Group: Right. >> So they recognize that they need the capability, but they want to dramatically simplify the degree to which it's evasive. I once had a CIO tell me that the value of my infrastructure is adversely proportional to the degree to which anybody in my business knows anything about it. So how do you then take steps to ensure that your customers don't know anything about the infrastructure, even though they have the infrastructure where the data demands, which is gonna be at the edge, and on premise? >> I think that's some of the things we're focused on now. So software to make infrastructure much more frictionless. And you're not really worrying about managing that infrastructure, it's just there to power the business, to deliver the business. Consumption-based offerings with Green Lake, this is truly purpose-built stacks for specific things, because our customers are telling us, I don't want to have to set all that up and manage it, but I want that outcome, and I only want to pay for what I use. So those are just a couple of examples of how we're trying to simplify it. Because ultimately it's all about the experience and the outcome and being able to translate all that data into insight. >> Well, when you're simplifying your face to the world, we heard in the last earnings call, new reporting structure going forward. Hybrid IT ... intelligent edge, and financial services, which is exploding, the consumption base modeling 22% growth last quarter. So organizationally, presumably, you've started to take that shape, and that's how you're presenting your face to the world. Is that right? >> Yeah, and that's helping us to really break down some of the silos, that has existed in this company for a while. And you're seeing that really, really becoming much more unified in terms of how we go to market, and how we think about engaging with our partners how we engage with our customers. >> Are your customers breaking down those silos at a consistent rate? Are you a little bit ahead, a little bit behind? How would you evaluate that? I think it's a transition, it depends on which customer, which sector. We still see some of some of them that are maybe a little behind. Some that are a little bit ahead, but really everybody wants to start the conversation much more about, how do I move faster? How do I accelerate my business? It's all focused on outcomes starting at that data level, and then how can you help me? And this is where I think some of the acquisitions that we've made, like CTP are very empowerful, and then all the software capabilities that we're bringing as well. So we're leading the dialogue much more around that. >> And the only way they're gonna get there is to break down those silos. >> Jim: Absolutely, absolutely. And we have to help them do that, right? We have to help them do that and give them the solutions to do this. >> So Jim, I want to go back to a point that you made about those other two research firms, Gartner and IDC I think it was. But you said that if they were measuring the value, or if there was a magic quadrant for who is the best partner, you guys would be up in the upper right hand quadrant? But partners in this world, especially here in Europe, are more than just the big guys. >> Jim: Yes. >> How are you taking steps to ensure that that large mass of crucially important companies out there, that still where a lot of that innovation, a lot of that excitement really is, are coming with you, are able to move with you? Because your ability to certainly provide them with financial support is important, but your ability to show them the future, and have them see their business in the future, is going to be crucial to whether or not they stay with you. >> And I think we're doing a couple of things. We created our Pathfinder program, I'm sure you guys are aware of that, right? So these are some of the newer partners coming up, we're actually investing in them, helping to scale them, because we think it's going to be unique innovation. Another area is this program that we have called Cloud 28 Plus, where we have a whole network of providers, service providers, ISVs, SPs, that's part of a network that we're able to grow and kind of scale that ecosystem, so I don't know if you want to comment anything more on that, but-- >> Jason: Up to 700 now (mumbles). >> Yeah, so Saviea is very passionate about this obviously, but he's done some some really good things-- >> Peter: And he should be passionate about it. >> But that gives us an ecosystem now of partners who are part of that HPE ecosystem, but different use cases, different compliance needs, they sit in different regions, so we're able to give our customers a lot of that flexibility. >> Alright, gotta give us something on the key note. Just a tidbit. What can you share? A little nugget? >> I mean, you know-- >> Dave: Teaser. >> Some themes we've talked about. You'll hear the word friction free a lot, how do we make things invisible? And really demonstrating how with services and software, and consumption-based service models, can we do that for customers? You'll hear a lot of those themes. We'll highlight some of the things we've announced over the last 24 hours, a few weeks. So we'll emphasize what we've done around Nimble and info site, and the importance of AI in the data center. We'll obviously spotlight point next, and Anna and her energy, she's gonna be out there and really firing people up. And a few surprises in the software space that will come today, that it'll probably cause the market to do a bit of a double take and say who is that that's doing this again? Yeah, it's us, it's HPE doing that. >> And you'll see us also talk about a little bit of a vision in terms of how we see the market starting more at the edge, bringing in AI, composing for different kinds of environments, and then how HPE has really been able to invest, so we're gonna start to show that over the last couple years, we have had a very clear agenda where we want it to go, and now that's all coming to fruition, so we'll start to show all that holistically in terms of our technology vision. So that's another thing that we're gonna be highlighting. >> Great. Perfect timing, we can hear the announcement. Keynotes are coming up, we'll be broadcasting those on our twitch channel. Siliconangle.com/twitch You can go to HPE.com and see the keynotes as well. Gents, great energy, awesome to see you. >> It's great to see you guys, thank you. >> We'll be watching the college football ranks. You guys have a fun little rivalry of Ohio State here. >> The Ohio State. >> Dave: ... Yale, but nobody cares. >> Baker for Heisman. >> Dave: Gents, thanks very much for coming. >> Thanks guys, appreciate it. >> Keep right there everybody, we'll be back with our next guest right after this short break. (soft tech music)