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18 lines
1.1 KiB
Markdown
18 lines
1.1 KiB
Markdown
## About
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This image is an extension of the [`rayproject/ray`](https://hub.docker.com/repository/docker/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.](https://github.com/ray-project/ray/blob/master/docker/ray-ml/Dockerfile)
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## Tags
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* [`:latest`](https://hub.docker.com/repository/docker/rayproject/ray-ml/tags?page=1&name=latest) - The most recent Ray release.
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* `:1.x.x` - A specific release build.
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* [`:nightly`](https://hub.docker.com/repository/docker/rayproject/ray-ml/tags?page=1&name=nightly) - The most recent nightly build.
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* `:SHA` - A specific nightly build.
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### Suffixes
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* `-gpu` - These are based off of an `NVIDIA CUDA` image. They require the [Nvidia Docker Runtime](https://github.com/NVIDIA/nvidia-docker) to be installed on the host for the container to access GPUs.
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* Tags without a suffix refer to `-gpu` image
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## Other Images
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* [`rayproject/ray`](https://hub.docker.com/repository/docker/rayproject/ray) - Ray and all of its dependencies.
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