What's up, everybody? I'm EvilRabbit. As you can see, there was a big torque drift update giving us three new pro cars that are driven by some amazing female drivers. That of Kelsey Rollins S14, Jody Donovan's Supra BRZ front car. Torque drift. Big thank you to the guys at Torque Drift, as you can see, shooting me a direct message. And that of Miki Tagai. I think I said that wrong. I do apologize if I mispronounced that. But three amazing pro cars by three amazing female drivers are now in the game. And like I said, big thank you to Torque Drift for making this episode possible, for hooking me up with two of the three new cars so that we can throw them around, see how they handle, and have a little fun with them today. We're going to take a look at those cars today. And some other things came into the game, such as, you know, better engines for smoke and stuff like that, to make it run smoother. And if you can see right back there, that car right there is that of one of the cars at Torque Drift hooking me up with big thank you to them. Big thank you to the devs at Torque Drift for hooking me up that right there, that purple and pink S13. So can't wait to get my hands on this car and drive it. It is in my garage, but we're not going to drive that car yet. The other car that we get to shred here today is that of Jody's car. And that is the BRZ front Toyota Supra rear Toyota Supra with the BRZ front. And definitely excited to get this car sideways as well because well, 852 horsepower.  So this is definitely going to be interesting, a lot of camera in that car. And the other new car that came to the game is that of Kelsey Rollins S14. Her galaxy wrapped top one oil Achilles radial S14. Definitely a amazing female driver and pro two stepping up their game and getting better and better with every season and every run. Definitely keep an eye on her her climb in the series as well as all the other pro two drivers and stuff like that. So we're going to go out and shred some of these new cars and see what we can get into with these cars. Once again, a big thank you to torture for making this episode possible, hooking me up with some cars so that we can have a little fun with the new cars and give you guys a little bit of a lowdown on them, give you my impressions on them. So that way, if you want to go purchase them for yourself, you kind of have a little bit of insight on the car and you get a chance to see the car in action before you make that purchase. If you don't want it or maybe you do want it, you see it and you're like, I'm going to buy that right now. So we're going to get my impressions on a couple of these cars. So looks like we have Ocean Drive FD specials, Skyline and the slab. So we're just going to go right into the slab. We're going to take the S13 out, go into the slab race and, well, see how it works. We got 458 horsepower underneath this S15. I'm missing a headlight, but it looks like it's got one little headlight bulb there. Definitely like a team burst style paint. I definitely love this car. I love the two-toned wheels. So looks like we're going up against a stock S13 with 739 horsepower. That's not stock at all. So we're going to see how this car handles. Not sure what gear I'm going to have to be in, so I feel like it's fourth. Fourth looks good. Oh, this car is, uh, oh man. So this car is one of those nice, uh, slow, flowy drift cars. What are all, oh, it looks like they got a little tally going up now. A fire points now. That's a little different. So definitely got to get used to this. I think maybe she's going to fifth. A little extra speed. Fifth was not, maybe fifth was the right, oh, they changed the track. Some barrels and stuff now. So this is definitely a lower-end car. So lower power car. So it's definitely meant for lower-speed tracks because if you guys know Japan drifting is very low speed, no handbrake, a lot of weight transfer. That car looks sick, though, just sliding. So Japan drifting is a lot different than, like, American drifting and UK drifting. Japan drifting is basically designed to be very slow, very flowy, and very artsy, whereas, you know, FD is just all about sheer power and muscle. So we can see if we can't get a good chase. We are kind of outmatched in power, so we're going to have to cut this line a little bit. This car does handle so nice and you guys know the love of S13s for me. Oh god, one of my favorite S chassis, so super excited to have this car added to my garage here on Tour of Drift. These guys are just updating the game more and more every day, throwing out new content, new cars. I know they're looking for new tracks and stuff. We're just being in all Japan-style door dies right now. Super close, super tight, nice and fun. This car is a lot of fun to drive. I like the little cheetah print on the B pillar. That's kind of sick. We did take the win though with our chase, so we were able that little door-to-door dive on the chase that definitely got it for us. I definitely want to check this out because I like how they went straight into the cinematic replay. Instead of going into behind you, it's cool. They're straight in the cinema. It's got a lot of camber in the front. Cinematic view, very cool right there. A little door-dive, a little door-love action right there. A little S13 on S13. We did take the win on that one. Super excited about that. We're going to go to another track with this car and then we're going to switch up and try the other car that Tour of Drift hooked us up with. See how that one, that's more of a high-powered drift car. Kind of more my cup of tea. I do like my low-powered cars. You guys know 602 and 437. This is right around the same horsepower as my BRZ that I run, which I do love running. Just to go to show you don't need incredible amounts of power to have fun. We're going to go to the skyline. Mountain Road, Japan Drift car. It's going to happen. I do love the look of that car. Tour of Drift is doing a lot of good things. A lot of amazing things with all these updates coming. We got Ma here in 705 horsepower S14. So let's see what this little S13 that could can do here on the mountain roads. This is probably where this car is most comfortable in the mountain roads and the nice twisty tracks that don't require super amount of speed. I think I actually hit that. That's a little rude. So the car doesn't have as much lock as I would like it to right now. And this is a bit of a bad run so don't don't judge me on this run. We'll try and catch it up in the chase. So not my smoothest lead run by any means. That was a terrible lead run. Didn't do this car justice at all. So we're gonna see what we're gonna have to do in our chase. Looks like he messed up too. Looks like we both made mistakes. So we'll have to get another good run with this car. And then of course you know we're gonna have to take this car to Cali Banks before we end this episode off. Because you know we have tested all these cars on these tracks and of course we got to hit up my favorite track that of Cali Banks with these cars and see how they ride on the banks.  So that's what happened to him. So this car is very nice, very flowy. Nice and smooth but it doesn't really have as much power as it I feel a lot of cars are running but it is a super fun car to have for sure. I like the slow speed drifting because you can get closer indoors. So definitely gonna want to be bringing this car to some online sessions against some of my some of my regulars to my online torque drift battles.  Panda as well nice slow smooth driver as well as fast drivers too. They can they can you know go both opposite ends of the spectrum which is a good thing to have be able to do both. So before we switch cars we're gonna go to Cali Banks of this car. We're gonna run the beginning. We're gonna see how it rides on the bank and we'll see what we can do with the points total of this car on the bank. Switches up to, no not speedway, beginning. Nope I want to go back to the beginning. Okay we did select it. Okay we're good. So now let's see what we can do here before we switch up to that Supra. This car just lights the tires up though. Initiate in. Okay we're in sideways. So we can handle the wall and handle the bank nice and smooth on that wall. We'll flick there. We'll flick back. I do love the two-tone wheels. Torque drift. Can you give us the ability to paint wheels? That will be sweet. That will be epic. Give us the ability to maybe change the rim color. That'd be definitely a fun thing to be able to do. So torque drift listing. So maybe they'll give us that. Give us the ability to paint wheels. That'd be sweet. Just saying. I actually don't know how hard that would be. So we're gonna throw a chase on this car. We're gonna have to chase ourselves before we switch up to that Supra. So this S13 definitely a nice slow smooth drift car. So if you like the smooth slow driving the Japanese style driving this car is definitely for you. And if you just want to have a piece of Japanese. Oh my as I say that I was not paying attention and totally lost my my angle there.  A lot of fun. I believe this car is $4.99 US. Don't correct me if I'm wrong. I'm maybe maybe nine but I believe it's four. So now we're gonna switch up car. I'm gonna get an 800 horsepower Supra. And well bang some red lines in that in a 2J. It should be a 2J. I think it's a 2J. Could be mistaken though. So we're going to go switch up cars. We're gonna probably head to the slab and then Hakone. Maybe the FD Special with this Supra. Now I got two Supras in the fleet. We got red Dan Burkets. And now we got this other Supra in the mix right there.  Zestino tires. Okay it's a new tire brand for here. Zestinos. And we're going against Jake Rohr here and down. Well see how this works. Feel like Granthia 4th Gear. Drive like a girl. That's definitely kind of cool to see. It's very cool to see these drift cars in the game. You know three amazing female drivers of the sport. Just as Joe drifting is not just for guys. While you break grab this car. See this car handles so much different than that S13. This car is more of a red line bang. High power. High angle. Very quick transition car. Kind of handles like red Dan Burkets in a sense. But it's this is definitely a very awesome car. And a little bit twitchy on that. You see what we can do in the chase then we'll go to Skyline with it. So once again a big thank you to TurfDrift for hooking me up with these two cars. Three new cars for us. TurfDrift keeps bringing us out. Fanger pro cars. So it just goes to show that they're going to continue to bring us content in the game. Because I feel like they want to just keep bringing content out regularly. Giving us more and more to do. So that we're not getting bored of it. I don't know what line that guy is running. We're going to try and get trying. Little door tap. Little door love. Try and get up there. So these cars are definitely a great add-on to the game. And would obviously recommend picking up at least one or two of them for sure. Oh if you like Supras here's a Supra with a different front end.  It looks amazing and it handles just as good. Like I said it handles a little bit like Red Danberkets. It's a very solid car. Every pro car that they have in this game handles amazingly.  We got Mad Mike the Dead, Alcona Dale, Red Danberket. And then we have you know a couple pro two cars and another Japanese style car. So we got them all here. And you know it just shows how diverse TurfDrift is now. It's just becoming more and more around the world. When I do my live stream it's definitely crazy to see where all you guys are coming from when you guys are hanging out. You know Netherlands, New Zealand, Sweden, Russia. Like you guys are from all over in my stream. And it's amazing to see that. It's great to see the community coming together from all over the world just for the love of drifting. And TurfDrift has done an amazing job with this game. And I'm not just saying that because you know my sponsors in the game and TurfDrift hooked me up with cars. I'm saying it because I enjoy playing the game. I enjoy playing it and doing live battles with you guys. And so like that. And it's not just because I'm part of it. I'm saying this because it's genuinely an amazingly fun game. So let's see how we do here at Skyline. And see what we can pull off. Very twitchy wall tap. I mean that's... I'll take that. I'll take that wall tap too. Didn't have it hard enough to lose our points. A little feather off the throttle so it'll smack into the wall. That was gonna be too hard. I saw that coming. I should have got off the gas. So the improvements that they made with the smoke and particles and all that make the game seem to run a little bit smoother. I am running pretty much max graphics and my phone is able to... my phone is able to handle it. Look at that wall drag though. So we're gonna go chase this down. Hopefully we don't get framerate glitch. Everything seems to be running a lot smoother. So they did a very good job with their update and you know they're constantly trying to make the game smoother. So you know we're gonna take this to Cali Banks. So two totally different style cars. Two totally different driving cars. This car is all... is very fast. Quick transition. Just like that. Quick snappy transition. A lot of power. And then you have the S13 which is very slow, meticulous, and more about finesse and the basically art form that is Japanese drifting. And then you have this car which is just like snap angle to angle real quick and just a blast to drive. So we did take the win there. So we're doing pretty good. We're... we won every single one of our battles for today's episode. So make sure you follow me on Twitter and Instagram. I'll try on the description box below as well as if you aren't following Torch Drift. Make sure you come out from underneath the rock and follow Torch Drift. Follow their Instagram, follow the game, get on the game, play it, you know get on the hub and you know chit-chat with some people and just have a lot of fun. It's definitely a all-around world game. Like I said before, excuse me. So now we're gonna take it to the banks and we'll see how it does on the bank. Once again a big thank you to Torch Drift and the Game Devs for hooking me up these cars so I could show you guys these cars and the different styles that is these two cars because they're totally two different animals, two different styles of driving, two different types of cars. I'm gonna bang this thing up fourth gear. Probably should shift to the fifth but I like how it handles in fourth. Like I said this car is very quick flicking, quick transitions and definitely gonna be using these cars in the live stream. So make sure you guys come up to the next live stream. Hopefully the next live stream will be either Monday or Wednesday. Gotta throw off the gas and smack in the wall. Make sure you guys stay on my Twitch or not Twitch. My Twitter and my Instagram for the next live stream battle that I'll be hosting. Hopefully it'll be next week as long as everything goes good. Hopefully Monday or Wednesday or both. Let me know in the comment section down below. You know what you guys think of these new cars? Did you pick one up yourself? Are you gonna pick one up?  Little door love on ourselves. That was a quick e-brake grab to not smack into ourselves. So definitely some amazing cars in the game now and a lot of fun driving these cars. Oh I forgot I got off the gas there. So as always make sure you guys follow me on all social media and as always I thank you guys for watching. I hope you guys enjoyed this episode. I will see you guys on the next one.


Welcome back to theCUBE's coverage of HPE's GreenLake announcements. You know, we're seeing the transition of Hewlett Packard Enterprise as a company. Yes, they're going all in for as a service, but we're also seeing a transition from a hardware company to what I look at, increasingly, as a data management company. We're going to talk today to Vishal Lal, who's GreenLake Cloud Services Solutions at HPE and Matt McCow, who's a global field CTO at Esmeral Software at HPE. Gents, welcome back to theCUBE. Good to see you again. Thank you for having us here. Thanks, Dave. Vishal, let's start with you. What are the big mega trends that you're seeing in data? When you talk to customers, when you talk to partners, what are they telling you? What's your optics say? Yeah, I mean, I would say the first thing is data is getting even more important. It's not that data hasn't been important for enterprises. But as you look at the last, you know, I would say 24 to 36 months has become really important, right? And it's becoming important because customers look at data and they're trying to stitch data together across different sources, whether it's marketing data, it's supply chain data, it's financial data. And they are looking at that as a source of competitive advantage. So customers who are able to make sense out of the data, enterprises that are able to make sense out of that data really do have a competitive advantage, right? And they actually get better business outcomes. So that's really important, right? If you start looking at kind of the, where we are from an analytics perspective, I would argue we are in maybe the third generation of data analytics. Kind of the first one was in the 80s and 90s with data warehousing, kind of EDWs. A lot of companies still have that, I think of Teradata, right? The second generation more in the 2000s was around data lakes, right? And that was all about Hadoop and others. And really kind of, you know, the difference between the first and the second generation was the first generation was more around structured data, right? Second became more about unstructured data, but you really couldn't run transactions on that data. And I would say now we are entering this third generation which is about data lake houses, right? So this is what, you know, customers, what they want really is, or enterprises, what they want really is, they want structured data, they want unstructured data all together. They want to run transactions on them, right? They want to use the data to mine it for machine learning purposes, right? Use it for SQL as well as non-SQL, right? And that's kind of where we are today. So that's really what we are hearing from our customers in terms of at least the top trends. And that's how we are thinking about our strategy in context of those trends. So lake house, use that term. It's an increasing popular term, it connotes, okay, I've got the best of data warehouse and I've got the best of data lake. I'm going to try to simplify the data warehouse and I'm going to try to clean up the data swamp if you will, Matt. So talk a little bit more about what you guys are doing specifically and what that means for your customers. Well, what we think is important is that there has to be a hybrid solution that organizations are going to build their analytics, they're going to deploy their algorithms, where the data either is being produced or where it's going to be stored. And that could be anywhere. That could be in the trunk of a vehicle. It could be in a public cloud or in many cases it's on premises in the data center. And where organizations struggle is they feel like they have to make a choice and a trade-off going from one to the other. And so what HPE is offering is a way to unify the experiences of these different applications, workloads and algorithms, while connecting them together through a fabric so that the experience is tied together with consistent security policies, not having to refactor your applications and deploying tools like Delta Lake to ensure that the organization that needs to build a data product in one cloud or deploy another data product in the trunk of an automobile can do so. So Vishal, I wonder if you could talk about some of the patterns that you're seeing with customers as you go out and deploy solutions. Are there industry patterns? Are there any sort of things you can share that you're discerning? Yeah, absolutely. As we kind of hear back from our customers across industries, I think the problem sets are very similar, right? Whether you look at healthcare customers, right? You look at telco customers, you look at consumer goods, financial services, they're all quite similar. I mean, what are they looking for? They're looking for making business value from the data, breaking down the silos that I think Matt spoke about just now, right? How do I stitch intelligence across my data silos to get more business intelligence out of it? They're looking for openness, right? I think the problem that's happened is over time people have realized that they're locked in with certain vendors or certain technologies. So they're looking for openness and choice, right? So that's an important one that we've at least heard back from our customers. The other one is just being able to run machine learning on algorithms on the data. I think that's another important one for them as well. And I think the last one I would say is, you know, TCO is important. As customers over the last few years have realized going to public cloud is starting to become quite expensive to run really large workloads on public cloud, especially as they want to address data. So cost performance trade-offs have started to become really important and starting to enter the conversation now. So I would say those are some of the key things and themes that we are hearing from customers cutting across industries. And you talked, Matt, about basically being able to essentially leave the data where it belongs, bring the compute to data. We talk about that all the time. And so that has to include on-prem. It's got to include the cloud. And I'm kind of curious on the edge, you know, where you see that? Because is that an eventual piece? Is that something that's actually moving in parallel? Is a lot of fuzziness as an observer in the edge? I think the edge is driving the most interesting use cases. The challenge up until recently has been, well, I think it's always been connectivity, right? Whether we have poor connection, little connection or no connection, being able to asynchronously deploy machine learning jobs into some sort of remote location, whether it's a very tiny edge or it's a very large edge like a factory floor, the challenge, as Vishal mentioned, is that if we're going to deploy machine learning, we need some sort of consistency of runtime to be able to execute those machine learning models. Yes, we need consistent access to data, but consistent access in terms of runtime is so important. And I think Hadoop got us started down this path, the ability to very efficiently and cost effectively run large data jobs against large data sets. And it attempted to work into the open source ecosystem, but because of the monolithic deployment, the tightly coupling of the compute and the data, it never achieved that cloud native vision. And so what Ezraal and HPE through GreenLake Services is delivering with open source-based Kubernetes, open source Apache Spark, open source Delta Lake Libraries, those same cloud native services that you can develop on your workstation, deploying your data center in the same way you deploy through automation out at the edge. And I think that is what's so critical about what we're gonna see over the next couple of years. The edge is driving these use cases, but it's consistency to build and deploy those machine learning models and connect it consistently with data. That's what's gonna drive organizations to success. So you're saying you're able to decouple compute from the storage? Absolutely, that you wouldn't have a cloud if you didn't decouple compute from storage. And so, and I think this is sort of the demise of Hadoop was forcing that coupling. We have high speed networks now, whether I'm in a cloud or in my data center, even at the edge, I have high performance networks. I can now do distributed computing and separate compute from storage. And so if I want to, I can have high performance compute for my really data intensive applications. And I can have cost effective storage where I need to. And by separating that off, I can now innovate at the pace of those individual tools in that open source ecosystem. So can I stay on this for a second? Because you certainly saw Snowflake popularize that. They were kind of early on, I don't know if they're the first, but they certainly one of the most successful. Then you saw Amazon Redshift copied it. And Redshift was kind of a bolt-on. What essentially they did is they tiered off. You could never turn off the compute. You still had to pay for a little bit compute. You know, that's kind of interesting. Snowflake's got the T-shirt sizes, so there's trade-offs there. There's a lot of ways to skin the cat. How did you guys skin the cat? What we believe we're doing is we're taking the best of those worlds. Through greenlight cloud services, the ability to pay for and provision on demand, the computational services you need. So if someone needs to spin up a Delta Lake job to execute a machine learning model, you spin up that. We're, of course, spinning that up behind the scenes. The job executes, it spins down and you only pay for what you need. And we've got reserve capacity there. So you, of course, just like you would in the public cloud. But more importantly, be able to then extend that through a fabric across clouds and edge locations so that if a customer wants to deploy in some public cloud service, like we know we're going to, again, we're giving that consistency across that and exposing it through an S3 API. So Vishal, at the end of the day, I mean, I'd love to talk about the plumbing and the tech, but the customer doesn't care, right? They want the lowest cost. They want the fastest outcome. They want the greatest value. My question is, how are you seeing data organizations evolve to sort of accommodate this third era of this next generation? Yeah, I mean, the way at least, you know, kind of look at from a customer perspective, what they're trying to do is, first of all, I think Matt addressed it somewhat. They're looking at a consistent experience across the different groups of people within the company that do something with data, right? It could be SQL users, right? People who are just writing SQL code. It could be people who are writing machine learning models and running them. It could be people who are writing code in Spark, right? Right now, they are, you know, the experience is completely disjointed across them, across the three types of users or more. And so that's one thing that they're trying to do is just try to get that consistency, right? We spoke about performance. I mean, the disjointedness between compute and storage does provide agility because their customers are looking for elasticity, right? How can I have an elastic environment? So that's kind of the other thing they're looking at. And performance and TCO, I think a big deal now, right? So I think that's definitely on customer's mind. So as enterprises are looking at their data journey, those are at least the attributes that they are trying to hit as they organize themselves to make the most out of the data. Matt, you and I have talked about this sort of trend to the decentralized future. We're sort of hitting on that. And whether it's a first gen data warehouse, second gen data lake, data hub, bucket, whatever, that essentially should ideally stay where it is, wherever it should be from a performance standpoint, from a governance standpoint and a cost perspective. And just be a node on this, you know I like the term data mesh, but be a node on that. And essentially allow the business owners, those with domain context to, you've mentioned data products before, to actually build data products, maybe air quotes, but a data product is something that can be monetized, maybe it cuts costs, maybe it adds value in other ways. How do you see HPE fitting into that long-term vision, which we know is going to take some time to play out? I think what's important for organizations to realize is that they don't have to go to the public cloud to get that experience they're looking for. Many organizations are still reluctant to push all of their data. They're critical data that is going to be the next way to monetize their business into the public cloud. And so what HPE's doing is bringing the cloud to them, bringing that cloud from the infrastructure, the virtualization, the containerization, and most importantly those cloud native services. So they can do that development rapidly, test it using those open source tools and frameworks we spoke about. And if that model ends up being deployed on a factory floor on some common x86 infrastructure, that's okay, because the lingua franca is Kubernetes. And as Vishal mentioned, Apache Spark, these are the common tools and frameworks. And so I want organizations to think about this unified analytics experience where they don't have to trade off security for cost, efficiency for reliability. HPE through GreenLake cloud services is delivering all of that where they need to do it. What about the speed to quality trade off? Have you seen that pop up in customer conversations and how are organizations dealing with that? Well, I guess it depends on what you mean by speed. Do you mean computational speed? No, accelerating the time to insights, if you will. We got to go faster, faster, agile to the data. And it's like, well, move fast, break things. Whoa, whoa, what about data quality and governance? They seem to be at odds. Yeah, well, because the processes are fundamentally broken. You've got a developer who maybe is able to spin up an instance in the public cloud to do their development. But then to actually do model training, they bring it back on premises. But they're waiting for a data engineer to get them the data available. And then the tools to be provisioned, which is some esoteric stack and then runtime is somewhere else. The entire process is broken. So again, by using consistent frameworks and tools and bringing that computation to where the data is and sort of blowing this construct of pipelines out of the water, I think is what is going to drive that success in the future. A lot of organizations are not there yet, but that's, I think, aspirationally where they want to be. Yeah, I think you're right. I think that is potentially an answer as to how you, not incrementally, but revolutionize sort of the data business. Last question is to talk about GreenLake, how this all fits in. Why GreenLake? Why do you guys feel as though it's differentiable in the marketplace? So, I mean, something that you asked earlier as well, time to value, right? I think that's a very important attribute and kind of design factor as we look at GreenLake. If you look at GreenLake overall, right, kind of what does it stand for, right? It stands for experience, right? How do we make sure that we have the right experience for the users, right? We spoke about it in context of data. How do we have a similar experience for different users of data, but just broadly across the enterprise. So it's all about experience, how do you automate it, right? How do you automate the workloads? How do you provision fast, right? How do you give folks a cloud, an experience that they have been used to in the public cloud on using an Apple iPhone, right? So it's all about experience. I think that's number one. Number two is about choice and openness, right? I mean, as we look at GreenLake, it's not a proprietary platform. We are very, very clear that the design, one of the important design principles is about choice and openness. And that's the reason you hear us talk about Kubernetes, about Patchespark, about Delta Lake, et cetera, et cetera, right? We're using kind of those open source models where customers have a choice, right? If they don't want to be on GreenLake, they can go to public cloud tomorrow, right? Or they can run in our colos if they want to do it. That way, or in their colos if they want to do it, right? So they should have the choice. Third is about performance. I mean, what we've done is it's not just about the software, but we as a company have a know-how to configure infrastructure for that workload, right? And that's an important part of it, right? I mean, if you think about the machine learning workloads, we have the right Nvidia chips that accelerate those transactions, right? So that's kind of the last, the third one. And the last one I think, you know, as I spoke about earlier is cost. We are very focused on TCO. But from a customer perspective, we want to make sure that we are giving a value proposition, which is just not about experience and performance and openness, but also about cost. So if you think about GreenLake, that's kind of the value proposition that we bring to our customers across those four dimensions. Guys, great conversation. Thanks so much. Really appreciate your time and insights. Thanks for having us here, David. All right, you're welcome. And thank you for watching everybody. Keep it right there for more great content from HPE's GreenLake announcements. You're watching theCUBE.