Accelerators and GPUs at NVIDIA, with Pramod Ramarao
Episode 92 of the Kubernetes Podcast from Google podcast, hosted by Abdel Sghiouar, Kaslin Fields, titled "Accelerators and GPUs at NVIDIA, with Pramod Ramarao" was published on February 25, 2020 and runs 31 minutes.
February 25, 2020 ·31m · Kubernetes Podcast from Google
Episode Description
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
- StackRox's State of Container and Kubernetes Security report
- Cilium 1.7
- Convox launches multi-cloud
- Pangolin, an experimental Kubernetes autoscaler by Damian Peckett
- Dell/EMC rack-in-a-box
- Platform9 now distributed by Promark
- 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
- OpenGL and Vulkan, with a K
- Kubernetes on NVIDIA GPUs
- Device plugins for Kubernetes and scheduling GPUs
- NDC Hub for drivers and containers
- NVIDIA EGX for Edge computing with Kubernetes
- Deep Learning Training vs Inferencing
- NVIDIA GPU operator
- Pramod Ramarao
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