## About This is an internal image, the [`rayproject/ray`](https://hub.docker.com/repository/docker/rayproject/ray) or [`rayproject/ray-ml`](https://hub.docker.com/repository/docker/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.](https://github.com/ray-project/ray/blob/master/docker/base-deps/Dockerfile) ## 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. 2.9.3 | | `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. `py39`, `py310` and `py311`. If unspecified, the tag points to an image using `Python 3.9`. 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` | ---- See [`rayproject/ray`](https://hub.docker.com/repository/docker/rayproject/ray) for Ray and all of its dependencies.