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

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