Accelerators and GPUs at NVIDIA, with Pramod Ramarao

Kubernetes Podcast from Google

Episode | Podcast

Date: Tue, 25 Feb 2020 23:03:32 +0000

<p>GPUs do more than move shapes on a gamer’s screen - they increasingly move self-driving cars and 5G packets, running on Kubernetes. <a href="">Pramod Ramarao</a> is a Product Manager at NVIDIA, and joins <a href="">your hosts</a> to talk about accelerators, containers, drivers, machine learning and more.</p> <p>Do you have something cool to share? Some questions? Let us know:</p> <ul> <li>web: <a href=""></a></li> <li>mail: <a href=""></a></li> <li>twitter: <a href="">@kubernetespod</a></li> </ul> <h3 id="chatter-of-the-week">Chatter of the week</h3> <ul> <li>Printer networking <ul> <li><a href="">HP JetDirect</a></li> <li><a href="">USB Type B</a></li> <li><a href="">The mess that is USB Type-C</a></li> <li><a href="">The solution</a></li> </ul> </li> <li>Adam wants software-defined faucets <ul> <li><a href="">Glowing LED faucet</a> - where does the electricity come from?</li> <li><a href="">Faucet, a SDN controller</a></li> </ul> </li> </ul> <h3 id="news-of-the-week">News of the week</h3> <ul> <li><a href=""> Google Cloud launches Application Manager for GKE in Beta</a></li> <li><a href=""> GKE Surge Upgrades GA</a></li> <li><a href=""> GKE Node Locations GA</a></li> <li><a href=""> Anthos Ready Storage qualification</a></li> <li><a href="">Kafka disaster recovery with Supertubes</a> from Banzai Cloud <ul> <li><a href="">Episode 59, with Janos Matyas</a></li> </ul> </li> <li><a href=""> StackRox’s State of Container and Kubernetes Security report</a></li> <li><a href="">Cilium 1.7</a> <ul> <li><a href="">Last week’s ode to eBPF, with Leonardo Di Donato</a></li> </ul> </li> <li><a href="">Convox launches multi-cloud</a></li> <li><a href="">Pangolin</a>, an experimental Kubernetes autoscaler by Damian Peckett <ul> <li><a href=""> Damian’s Reddit post</a></li> <li><a href="">Bang-bang control theory</a></li> <li><a href="">Bang-bang chicken</a></li> </ul> </li> <li><a href=""> Dell/EMC rack-in-a-box</a> <ul> <li><a href="">Jack-in-the-box</a></li> <li><a href="">The Hooli Box</a></li> </ul> </li> <li><a href=""> Platform9 now distributed by Promark</a> <ul> <li>But not <a href="">Primark</a></li> <li><a href=""> Episode 88, with Madhura Maskasky</a></li> </ul> </li> <li><a href=""> GKE security updates & defense-in-depth strategies</a></li> <li><a href=""> Best practices for enterprise multi-tenancy with GKE</a></li> <li><a href="">Andrew Allbright contributes to Minikube</a></li> <li><a href=""> Kubernetes Contributor Summit schedule announced</a></li> <li>That discount code again again again: <strong><a href=""> KCEUGKP15</a></strong></li> </ul> <h3 id="links-from-the-interview">Links from the interview</h3> <ul> <li><a href="">NVIDIA</a></li> <li><a href="">Graphics Processing Unit</a> (GPU)</li> <li><a href=""> Differences between CPU and GPU</a></li> <li><a href="">The math co-processor</a></li> <li><a href=""> General-purpose computing on GPUs</a> (commonly known as GPGPU)</li> <li><a href="">CUDA</a>, with a C <ul> <li><a href="">NVIDIA CUDA Zone</a></li> <li><a href="">CUDA C++</a></li> </ul> </li> <li><a href="">OpenGL</a> and <a href="">Vulkan</a>, with a K</li> <li><a href="">Kubernetes on NVIDIA GPUs</a> <ul> <li><a href="">NVIDIA on Google Cloud Platform</a></li> </ul> </li> <li><a href=""> Device plugins for Kubernetes</a> and <a href="">scheduling GPUs</a> <ul> <li><a href="">NVIDIA device plugin</a></li> <li><a href="">Kubernetes on NVIDIA GPU documentation</a></li> </ul> </li> <li><a href="">NDC Hub</a> for drivers and containers</li> <li><a href=""> NVIDIA EGX</a> for Edge computing with Kubernetes <ul> <li><a href=""> Pramod’s announcement blog</a></li> </ul> </li> <li><a href=""> Deep Learning Training vs Inferencing</a></li> <li><a href=""> NVIDIA GPU operator</a></li> <li><a href="">Pramod Ramarao</a></li> </ul>