 It's theCUBE, here is your host, Jeff Crick. Hi, Jeff Crick here with theCUBE. We are on the ground at the San Jose Convention Center at the first ever Open Power Summit. It's a brand new federation. They are bringing openness to the long history of IBM power microprocessor, but now we're adding a little open source. So we're excited with our next guest, Sumit Gupta, GM, Product Leader, Enterprise Data Center for NVIDIA. Welcome. Thank you. So this is actually, this is a little show in the big show. That's right, we have a very big conference that we've been hosting for many years, and every year it gets bigger. It's called the GPU Technology Conference. This year we have around 4,000 people here, and it's mostly developers. That's really the focus of this conference. Developers and researchers and folks who appreciate computing and high performance computing in particular. And NVIDIA's got a long history. I think most people probably know you for the graphics chips, right? Because we see it at the store and all the gamers want it in their machines. But you guys have been applying that technology to more core computing problems for a very long time, right? That's right. So NVIDIA obviously is one of the leaders in gaming, right, leader in visual computing. And about seven years ago, we started doing data center products. And the focus of our data center products is to accelerate applications. So we attach to a CPU and we provide acceleration to applications that are compute intensive or take a long time to run. And many applications like that, there's technical computing, there's data analytics, there's deep learning and machine learning. So now you're a founding member of the Open Power Foundation. So how did you get involved in that and why did you get involved in that? Well, you know, when IBM came to us with this idea of opening up the power ecosystem, we were pretty excited about the opportunity to take this processor, which had obviously been extremely successful, has been very powerful and brings a lot of value into the data center and being able to connect that to a GPU. And also IBM is putting in a technology and interconnect called NVLink into their future CPUs. We're putting the same technology into our GPUs and that allows our CPUs and GPUs to communicate much faster. In effect for our customers, that means that applications run much faster because the interconnect in their server is so much faster. And so how long has this been going on? I know this is the first summit, but I believe the foundation's been at it for a while. Are you, you're obviously shipping products now that are integrating some of these new technologies? Yeah, you know, I think Open Power's two years young, one and a half to two years young. I don't remember the number anymore, but we have a huge membership, maybe close to a hundred members now. You know, there's a whole ecosystem that's forming around the power technology and providing a solution in the data center that offers a choice to customers. Excellent. And again, the types of workloads and applications that this most benefit are which kind? You know, power in general can benefit pretty much every data center workload. When you attach a GPU to power, then it's really workloads which are very high performance, which require a lot of performance. So technical computing, financial computing, scientific computing, medical imaging, deep learning, machine learning are great examples where GPUs and power play together really well. Awesome. Well, Summit, thanks for stopping by and congratulations on your event. We'll have to cover the big event here at some point in time, but you're here for Open Power and it's an exciting day for them, the very first summit. It absolutely is. Thank you for having us. All right, super. So I'm Jeff Frick. We're on the ground at the San Jose Convention Center. You're watching theCUBE. Thanks for watching.