Skip to content

Fix cuvs-bench docker images in docs #2003

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
rapids-bot merged 2 commits into from
Apr 10, 2026
Merged

Fix cuvs-bench docker images in docs #2003

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1fe3bf9
Fix cuvs-bench docker images in docs
jrbourbeau Apr 9, 2026
d9717af
Merge branch 'main' of https://github.com/rapidsai/cuvs into cuvs-ben…
jrbourbeau Apr 10, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 5 additions & 5 deletions docs/source/cuvs_bench/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,7 @@ We provide images for GPU enabled systems, as well as systems without a GPU. The

Nightly images are located in `dockerhub <https://hub.docker.com/r/rapidsai/cuvs-bench/tags>`_.

The following command pulls the nightly container for Python version 3.13, CUDA version 12.9, and cuVS version 26.04:
The following command pulls the nightly container for Python version 3.13, CUDA version 12.9, and cuVS version 26.06:

.. code-block:: bash

Expand Down Expand Up @@ -289,7 +289,7 @@ For GPU-enabled systems, the `DATA_FOLDER` variable should be a local folder whe
export DATA_FOLDER=path/to/store/datasets/and/results
docker run --gpus all --rm -it -u $(id -u) \
-v $DATA_FOLDER:/data/benchmarks \
rapidsai/cuvs-bench:26.06-cuda12.9-py3.13 \
rapidsai/cuvs-bench:26.06a-cuda12-py3.13 \
"--dataset deep-image-96-angular" \
"--normalize" \
"--algorithms cuvs_cagra,cuvs_ivf_pq --batch-size 10 -k 10" \
Expand All @@ -302,7 +302,7 @@ Usage of the above command is as follows:
* - Argument
- Description

* - `rapidsai/cuvs-bench:26.06-cuda12.9-py3.13`
* - `rapidsai/cuvs-bench:26.06a-cuda12-py3.13`
- Image to use. See "Docker" section for links to lists of available tags.

* - `"--dataset deep-image-96-angular"`
Expand Down Expand Up @@ -331,7 +331,7 @@ The container arguments in the above section also be used for the CPU-only conta
export DATA_FOLDER=path/to/store/datasets/and/results
docker run --rm -it -u $(id -u) \
-v $DATA_FOLDER:/data/benchmarks \
rapidsai/cuvs-bench-cpu:26.04a-py3.13 \
rapidsai/cuvs-bench-cpu:26.06a-py3.13 \
Copy link
Copy Markdown
Member Author

@jrbourbeau jrbourbeau Apr 9, 2026

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This CPU image actually does exit, I just updated to 26.06a for consistency with the other tags being used in this doc

"--dataset deep-image-96-angular" \
"--normalize" \
"--algorithms hnswlib --batch-size 10 -k 10" \
Expand All @@ -349,7 +349,7 @@ All of the `cuvs-bench` images contain the Conda packages, so they can be used d
--entrypoint /bin/bash \
--workdir /data/benchmarks \
-v $DATA_FOLDER:/data/benchmarks \
rapidsai/cuvs-bench:26.06-cuda12.9-py3.13
rapidsai/cuvs-bench:26.06a-cuda12-py3.13

This will drop you into a command line in the container, with the `cuvs-bench` python package ready to use, as described in the `Running the benchmarks`_ section above:

Expand Down
Loading