Accelerators and GPUs at NVIDIA, with Pramod Ramarao - a podcast by Adam Glick and Craig Box

GPUs do more than move shapes on a gamer’s screen - they increasingly move self-driving cars and 5G packets, running on Kubernetes. Pramod Ramarao is a Product Manager at NVIDIA, and joins your hosts to talk about accelerators, containers, drivers, machine learning and more.

Do you have something cool to share? Some questions? Let us know:

• web: kubernetespodcast.com


• mail: kubernetespodcast@google.com


• twitter: @kubernetespod

Chatter of the week

• Printer networking
  
  
  
  • HP JetDirect
  
  
  • USB Type B
  
  
  • The mess that is USB Type-C
  
  
  • The solution
  
  
  
  


• Adam wants software-defined faucets
  
  
  
  • Glowing LED faucet - where does the electricity come from?
  
  
  • Faucet, a SDN controller
  
  
  
  

News of the week

• Google Cloud launches Application Manager for GKE in Beta


• GKE Surge Upgrades GA


• GKE Node Locations GA


• Anthos Ready Storage qualification


• Kafka disaster recovery with Supertubes from Banzai Cloud
  
  
  
  • Episode 59, with Janos Matyas
  
  
  
  


• StackRox’s State of Container and Kubernetes Security report


• Cilium 1.7
  
  
  
  • Last week’s ode to eBPF, with Leonardo Di Donato
  
  
  
  


• Convox launches multi-cloud


• Pangolin, an experimental Kubernetes autoscaler by Damian Peckett
  
  
  
  • Damian’s Reddit post
  
  
  • Bang-bang control theory
  
  
  • Bang-bang chicken
  
  
  
  


• Dell/EMC rack-in-a-box
  
  
  
  • Jack-in-the-box
  
  
  • The Hooli Box
  
  
  
  


• Platform9 now distributed by Promark
  
  
  
  • But not Primark
  
  
  • Episode 88, with Madhura Maskasky
  
  
  
  


• GKE security updates & defense-in-depth strategies


• Best practices for enterprise multi-tenancy with GKE


• Andrew Allbright contributes to Minikube


• Kubernetes Contributor Summit schedule announced


• That discount code again again again: KCEUGKP15

Links from the interview

• NVIDIA


• Graphics Processing Unit (GPU)


• Differences between CPU and GPU


• The math co-processor


• General-purpose computing on GPUs (commonly known as GPGPU)


• CUDA, with a C
  
  
  
  • NVIDIA CUDA Zone
  
  
  • CUDA C++
  
  
  
  


• OpenGL and Vulkan, with a K


• Kubernetes on NVIDIA GPUs
  
  
  
  • NVIDIA on Google Cloud Platform
  
  
  
  


• Device plugins for Kubernetes and scheduling GPUs
  
  
  
  • NVIDIA device plugin
  
  
  • Kubernetes on NVIDIA GPU documentation
  
  
  
  


• NDC Hub for drivers and containers


• NVIDIA EGX for Edge computing with Kubernetes
  
  
  
  • Pramod’s announcement blog
  
  
  
  


• Deep Learning Training vs Inferencing


• NVIDIA GPU operator


• Pramod Ramarao

Further episodes of Kubernetes Podcast from Google

Further podcasts by Adam Glick and Craig Box

Website of Adam Glick and Craig Box