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ray/docker/ray-ml
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Kai Fricke 6282090401
[ci] Fix GPU docker builds (#24336) 
NVIDIA Docker builds are currently broken, e.g.: https://buildkite.com/ray-project/ray-builders-branch/builds/7239#e9dea1d6-7dea-4323-801c-b7efe917be03

Following this workaround: https://forums.developer.nvidia.com/t/invalid-public-key-for-cuda-apt-repository/212901/11
to hopefully fix this for now.
2022-04-29 17:10:18 +01:00
..
Dockerfile [ci] Fix GPU docker builds (#24336) 2022-04-29 17:10:18 +01:00
README.md [Docker] Start building ray-ml CPU Docker image again (#24266) 2022-04-28 15:29:23 -07:00

README.md

About

This image is an extension of the rayproject/ray image. It includes all extended requirements of RLlib, Serve and Tune. It is a well-provisioned starting point for trying out the Ray ecosystem. Find the Dockerfile here.

Tags

  • :latest - The most recent Ray release.
  • :1.x.x - A specific release build.
  • :nightly - The most recent nightly build.
  • :SHA - A specific nightly build.

Suffixes

  • -cpu - These are based off of a Ubuntu image.
  • -gpu - These are based off of an NVIDIA CUDA image. They require the Nvidia Docker Runtime to be installed on the host for the container to access GPUs.
  • Tags without a suffix refer to -gpu image

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