{"user":"rayproject","name":"ray","namespace":"rayproject","repository_type":"image","status":1,"status_description":"active","description":"Official Docker Images for Ray, the distributed computing API.","is_private":false,"is_automated":false,"star_count":67,"pull_count":22660122,"last_updated":"2026-09-29T05:58:47.370625Z","last_modified":"2025-06-09T17:58:26.823782Z","date_registered":"2020-07-27T22:50:59.506038Z","collaborator_count":0,"affiliation":null,"hub_user":"rayproject","has_starred":false,"full_description":"Container images for [Ray](https://github.com/ray-project/ray)! This includes\neverything needed to get started with running Ray! They work for both local development and with the [Ray Cluster Launcher](https://docs.ray.io/en/latest/cluster/vms/getting-started.html).\n\n\n\n\n## Tags\n* [`:latest`](https://hub.docker.com/repository/docker/rayproject/ray/tags?page=1\u0026name=latest) - The most recent Ray release.\n* `:2.x.x` - A specific release build. \n* [`:nightly`](https://hub.docker.com/repository/docker/rayproject/ray/tags?page=1\u0026name=nightly) - The most recent nightly build.\n\n### Suffixes\n* `-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.  \n* `-cpu`- These are based off of an `Ubuntu` image.\n* Tags without a suffix refer to `-cpu` images\n\n## Other Images\n* [`rayproject/ray-ml`](https://hub.docker.com/repository/docker/rayproject/ray-ml) - This image with common ML libraries to make development \u0026 deployment more smooth!\n\n## License\n\n[Apache-2.0](https://github.com/ray-project/ray/blob/master/LICENSE)","permissions":{"read":true,"write":false,"admin":false},"media_types":["application/vnd.docker.container.image.v1+json","application/vnd.oci.image.index.v1+json"],"content_types":["image"],"categories":[],"immutable_tags_settings":{"enabled":false,"rules":[".*"]},"storage_size":610901425010628,"source":null}