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nvidia-docker

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This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
  • Updated Nov 16, 2021
  • Python

MATE Desktop container for NVIDIA GPUs without using an X Server, directly accessing the GPU with EGL using VirtualGL, TurboVNC, and Guacamole. Does not require /tmp/.X11-unix host sockets. Designed for Kubernetes, also supporting audio forwarding.
  • Updated Sep 18, 2021
  • Dockerfile

MATE Desktop container supporting GLX/Vulkan for NVIDIA GPUs by spawning its own X Server and Guacamole interface instead of using the host X server. Does not require /tmp/.X11-unix host sockets or host configuration. Designed for Kubernetes, also supporting audio forwarding.
  • Updated Sep 18, 2021
  • Dockerfile

🐧 GPU Sku usage for Ubuntu 16.04-LTS and CentOS 7.3 , Standard Open Source Scheduler Deployments for HPC Skus for CentOS 7.1-HPC with OMS. This is presently on the GAed CentOS-HPC A9/H16R/H16MR and GPU NC6/NC12/NC24 to be expanded later for other Skus like NVs /NC24R on Linux. Latest Docker CE and nvidia-docker present in all.
  • Updated Mar 14, 2019
  • Shell

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