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.

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Chatter of the week

Printer networking
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
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

Accelerators and GPUs at NVIDIA, with Pramod Ramarao

Kubernetes Podcast from Google