>> Narrator: From Denver, Colorado, it's theCUBE. Covering Super Computing '17, brought to you by Intel. Hey welcome back everybody, Jeff Frick here with theCUBE. We're at Super Computing 2017, Denver, Colorado, 12,000 people talking about big iron, big questions, big challenges. It's really an interesting take on computing, really out on the edge. The key note was, literally, light years out in space, talking about predicting the future with quirks and all kinds of things, a little over my head for sure. But we're excited to kind of get back to the ground and we have Ravi Pendekanti. He's the Senior Vice President of Product Management and Marketing, Server Platforms, Dell EMC. It's a mouthful, Ravi great to see you. Great to see you too Jeff and thanks for having me here. Absolutely, so we were talking before we turned the cameras on. One of your big themes, which I love, is kind of democratizing this whole concept of high performance computing, so it's not just the academics answering the really, really, really big questions. You're absolutely right. I mean think about it Jeff, 20 years ago, even 10 years ago, when people talk about high performance computing, it was what I call as being in the back alleys of research and development. There were a few research scientists working on it, but we're at a time in our journey towards helping humanity in a bigger way. The HPC has found it's way into almost every single mainstream industry you can think of. Whether it is fraud detection, you see MasterCard is using it for ensuring that they can see and detect any of the fraud that can be committed earlier than the perpetrators come in and actually hack the system. Or if you get into life sciences, if you talk about genomics. I mean this is what might be good for our next set of generations, where they can probably go out and tweak some of the things in a genome sequence so that we don't have the same issues that we have had in the past. Right. Right? So, likewise, you can pick any favorite industry. I mean we are coming up to the holiday seasons soon. I know a lot of our customers are looking at how do they come up with the right schema to ensure that they can stock the right product and ensure that it is available for everyone at the right time? 'Cause timing is important. I don't think any kid wants to go with no toy and have the product ship later. So bottom line is, yes, we are looking at ensuring the HPC reaches every single industry you can think of. So how do you guys parse HPC verses a really big virtualized cluster? I mean there's so many ways that compute and store has evolved, right? So now, with cloud and virtual cloud and private cloud and virtualization, you know, I can pull quite a bit of horsepower together to attack a problem. So how do you kind of cut the line between Navigate, yeah. big, big compute, verses true HPC? HPC. It's interesting you ask. I'm actually glad you asked because people think that it's just feeding CPU or additional CPU will do the trick, it doesn't. The simple fact is, if you look at the amount of data that is being created. I'll give you a simple example. I mean, we are talking to one of the airlines right now, and they're interested in capturing all the data that comes through their flights. And one of the things they're doing is capturing all the data from their engines. 'Cause end of the day, you want to make sure that your engines are pristine as they're flying. And every hour that an engine flies out, I mean as an airplane flies out, it creates about 20 terabytes of data. So, if you have a dual engine, which is what most flights are. In one hour they create about 40 terabytes of data. And there are supposedly about 38,000 flights taking off at any given time around the world. I mean, it's one huge data collection problem. Right? I mean, I'm told it's like a real Godzilla number, so I'll let you do the computation. My point is if you really look at the data, data has no value, right? What really is important is getting information out of it. The CPU on the other side has gone to a time and a phase where it is hitting the, what I call as the threshold of the Moore's law. Moore's law was all about performance doubles every two years. But today, that performance is not sufficient. Which is where auxiliary technologies need to be brought in. This is where the GPUs, the FBGAs. Right, right. Right. So when you think about these, that's where the HPC world takes off, is you're augmenting your CPUs and your processors with additional auxiliary technology such as the GPUs and FBGAs to ensure that you have more juice to go do this kind of analytics and the massive amounts of data that you and I and the rest of the humanity is creating. It's funny that you talk about that. We were just at a Western Digital event a little while ago, talking about the next generation of drives and it was the same thing where now it's this energy assist method to change really the molecular way that it saves information to get more out of it. So that's kind of how you parse it. If you've got to juice the CPU, and kind of juice the traditional standard architecture, then you're moving into the realm of high performance computing. Absolutely, I mean this is why, Jeff, yesterday we launched a new PowerEdge C4140, right? The first of it's kind in terms of the fact that it's got two Intel Xeon processors, but beyond that, it also can support four Nvidia GPUs. So now you're looking at a server that's got both the CPUs, to your earlier comment on processors, but is augmented by four of the GPUs, that gives immense capacity to do this kind of high performance computing. But as you said, it's not just compute, it's store, it's networking, it's services, and then hopefully you package something together in a solution so I don't have to build the whole thing from scratch, you guys are making moves, right? Oh, this is a perfect lead in, perfect lead in. I know, my colleague, Armagon will be talking to you guys shortly. What his team does, is it takes all the building blocks we provide, such as the servers, obviously looks at the networking, the storage elements, and then puts them together to create what are called solutions. So if you've got solutions, which enable our customers to go back in and easily deploy a machine-learning or a deep-learning solution. Where now our customers don't have to do what I call as the heavy lift. In trying to make sure that they understand how the different pieces integrate together. So the goal behind what we are doing at Dell EMC is to remove the guess work out so that our customers and partners can go out and spend their time deploying the solution. Whether it is for machine learning, deep learning or pick your favorite industry, we can also verticalize it. So that's the beauty of what we are doing at Dell EMC. So the other thing we were talking about before we turned turned the cameras on is, I call them the itys from my old Intel days, reliability, sustainability, serviceability, and you had a different phrase for it. >> Ravi: Oh yes, I know you're talking about the RAS. The RAS, right. Which is the reliability, availability, and serviceability. >> Jeff: But you've got a new twist on it. Oh we do. Adding something very important, and we were just at a security show early this week, CyberConnect, and security now cuts through everything. Because it's no longer a walled garden, 'cause there are no walls. There are no walls. It's really got to be baked in every layer of the solution. Absolutely right. The reason is, if you really look at security, it's not about, you know till a few years ago, people used to think it's all about protecting yourself from external forces, but today we know that 40% of the hacks happen because of the internal, you know, system processes that we don't have in place. Or we could have a person with an intent to break in for whatever reason, so the integrated security becomes part and parcel of what we do. This is where, with in part of a 14G family, one of the things we said is we need to have integrated security built in. And along with that, we want to have the scalability because no two workloads are the same and we all know that the amount of data that's being created today is twice what it was the last year for each of us. Forget about everything else we are collecting. So when you think about it, we need integrated security. We need to have the scalability feature set, also we want to make sure there is automation built in. These three main tenets that we talked about feed into what we call internally, the monic of a user's PARIS. And that's what I think, Jeff, to our earlier conversation, PARIS is all about, P is for best price performance. Anybody can choose to get the right performance or the best performance, but you don't want to shell out a ton of dollars. Likewise, you don't want to pay minimal dollars and try and get the best performance, that's not going to happen. I think there's a healthy balance between price performance, that's important. Availability is important. Interoperability, as much as everybody thinks that they can act on their own, it's nearly impossible, or it's impossible that you can do it on your own. >> Jeff: These are big customers, they've got a lot of systems. You are. You need to have an ecosystem of partners and technologies that come together and then, end of the day, you have to go out and have availability and serviceability, or security, to your point, security is important. So PARIS is about price performance, availability, interoperability, reliability, availability and security. I like it. That's the way we design it. It's much sexier than that. We drop in, like an Eiffel Tower picture right now. There you go, you should. So Ravi, hard to believe we're at the end of 2017, if we get together a year from now at Super Computing 2018, what are some of your goals, what are your some objectives for 2018? What are we going to be talking about a year from today? Oh, well looking into a crystal ball, as much as I can look into that, I thin that-- >> Jeff: As much as you can disclose. And as much as we can disclose, a few things I think are going to happen. >> Jeff: Okay. Number one, I think you will see people talk about to where we started this conversation. HPC has become mainstream, we talked about it, but the adoption of high performance computing, in my personal belief, is not still at a level that it needs to be. So, if you go down next 12 to 18 months, lets say, I do think the adoption rates will be much higher than where we are. And we talk about security now, because it's a very topical subject, but as much as we are trying to emphasize to our partners and customers that you've got to think about security from ground zero. We still see a number of customers who are not ready. You know, some of the analysis show there are nearly 40% of the CIOs are not ready in helping and they truly understand, I should say, what it takes to have a secure system and a secure infrastructure. It's my humble belief that people will pay attention to it and move the needle on it. And we talked about, you know, four GPUs in our C4140, do anticipate that there will be a lot more of auxiliary technology packed into it. Sure, sure. So that's essentially what I can say without spilling the beans too much. Okay, all right, super. Ravi, thanks for taking a couple of minutes out of your day, appreciate it. = Thank you. All right, he's Ravi, I'm Jeff Frick, you're watching theCUBE from Super Computing 2017 in Denver, Colorado. Thanks for watching. (techno music)