wehub-resource-syncOfficial container images for Ray. These images contains working Python virtual environments and required dependencies to run launche Ray nodes and form Ray clusters. everything needed to get started with running Ray. One can use the images for local development, or launch clusters with Ray VM launcher, KubeRay, or running them on Anyscale.
Source that builds the images are 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 version, e.g. 2.53.0 |
nightly |
The most recent Ray development build (a recent commit from GitHub master) |
The optional Python version tag specifies the Python version in the image.
All Python versions supported by Ray are available, e.g. py310, py311, and
py312. If unspecified, the tag points to an image using Python 3.10.
The optional Platform tag specifies the platform where the image is intended
for:
| Platform tag | Description |
|---|---|
-cpu |
Based off of an Ubuntu image. |
-cuXX |
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. |
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 that it is a multi-platform image index.
| Platform tag | Description |
|---|---|
| no tag | Multi-platform image index. |
-aarch64 |
arm64-compatible images |