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About

This is an internal image, the rayproject/ray or rayproject/ray-ml should be used!

This image has the system-level dependencies for Ray and the Ray Autoscaler. The ray-deps image is built on top of this. This image is built periodically or when dependencies are added. Find the Dockerfile here.

Tags

Images are tagged with the format {Ray version}[-{Python version}][-{Platform}][-{Architecture}]. Ray version tag can be one of the following:

Ray version tag Description
latest The most recent Ray release.
x.y.z A specific Ray release, e.g. 1.12.1
nightly The most recent Ray development build (a recent commit from Github master)
6 character Git SHA prefix A specific development build (uses a SHA from the Github master, e.g. 8960af).

The optional Python version tag specifies the Python version in the image. All Python versions supported by Ray are available, e.g. py37, py38, py39 and py310. If unspecified, the tag points to an image using Python 3.7.

The optional Platform tag specifies the platform where the image is intended for:

Platform tag Description
-cpu These are based off of an Ubuntu image.
-cuXX These are based off of an NVIDIA CUDA image with the specified CUDA version xx. They require the Nvidia Docker Runtime.
-gpu Aliases to a specific -cuXX tagged image.
no tag Aliases to -cpu tagged images for ray, and aliases to -gpu tagged images for ray-ml.

The optional Architecture tag can be used to specify images for different CPU architectures. Currently, we support the x86_64 (amd64) and aarch64 (arm64) architectures.

Please note that suffixes are only used to specify aarch64 images. No suffix means x86_64/amd64-compatible images.

Platform tag Description
-aarch64 arm64-compatible images
no tag Defaults to amd64

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