Episode 92
Accelerators and GPUs at NVIDIA, with Pramod Ramarao
Kubernetes Podcast from Google · Kubernetes Podcast from Google
February 25, 202031m 1s
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Show Notes
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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- That discount code again again again: KCEUGKP15
- 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