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rapidsai/ci-imgs

ci-imgs

This repository includes the following CI images for RAPIDS:

Tagging Strategy

All images are double-published with the following tags:

:{rapids_version}-cuda{cuda_version}-{operating_system}-py{python_version}
:cuda{cuda_version}-{operating_system}-py{python_version}

One particular combination is also chosen for latest tags like these:

:{rapids_version}-latest
:latest

For example, during the 25.10 release the following might all point to the same image:

rapidsai/ci-conda:25.10-cuda13.0.1-ubuntu24.04-py3.13
rapidsai/ci-conda:cuda13.0.1-ubuntu24.04-py3.13
rapidsai/ci-conda:25.10-latest
rapidsai/ci-conda:latest

But starting with the 25.12 release...

# these images are unchanged
rapidsai/ci-conda:25.10-cuda13.0.1-ubuntu24.04-py3.13
rapidsai/ci-conda:25.10-latest

# these now point to 25.12
rapidsai/ci-conda:cuda13.0.1-ubuntu24.04-py3.13
rapidsai/ci-conda:latest

RAPIDS projects and others tightly coupled to RAPIDS releases should use the images prefixed with {rapids_version}-.

Other projects that aren't as tightly coupled to RAPIDS may want to use those without {rapids_version}-, to automatically pull in bug fixes, new features, etc. without needing to manually update tags as frequently as RAPIDS releases.

latest tag

The latest image tags are controlled by the values in latest.yaml.

Building the dockerfiles locally

To build the dockerfiles locally, you may use the following snippets:

export LINUX_VER=ubuntu24.04
export CUDA_VER=13.0.1
export PYTHON_VER=3.13
export ARCH=amd64
export IMAGE_REPO=ci-conda
docker build $(ci/compute-build-args.sh) -f ci-conda.Dockerfile context/
export IMAGE_REPO=ci-wheel
docker build $(ci/compute-build-args.sh) -f ci-wheel.Dockerfile context/
export IMAGE_REPO=citestwheel
docker build $(ci/compute-build-args.sh) -f citestwheel.Dockerfile context/

Cleaning Up

Every build first writes images to the https://hub.docker.com/r/rapidsai/staging repo on DockerHub, then pushes them on to the individual repos like rapidsai/base, rapidsai/notebooks, etc.

A scheduled job regularly deletes old images from that rapidsai/staging repo. See https://github.com/rapidsai/workflows/blob/main/.github/workflows/cleanup_staging.yaml for details.

If you come back to a pull request here after more than a few days and find that jobs are failing with errors that suggest that some necessary images don't exist, re-run all of CI on that pull request to produce new images.

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