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Use CUDA 12.9 in Conda, Devcontainers, Spark, GHA, etc. #1063

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Merged
rapids-bot merged 4 commits into from
Jun 30, 2025
Merged

Use CUDA 12.9 in Conda, Devcontainers, Spark, GHA, etc. #1063

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186b71c
Update devcontainers to CUDA 12.9
jakirkham Jun 27, 2025
658b421
Use CUDA 12.9 in Conda envs
jakirkham Jun 27, 2025
a328376
Use CUDA 12.9 in GHA
jakirkham Jun 27, 2025
2d752d6
Use CUDA 12.9 in docs
jakirkham Jun 30, 2025
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8 changes: 4 additions & 4 deletions ...ontainer/cuda12.8-conda/devcontainer.json → ...ontainer/cuda12.9-conda/devcontainer.json
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Expand Up @@ -3,15 +3,15 @@
"context": "${localWorkspaceFolder}/.devcontainer",
"dockerfile": "${localWorkspaceFolder}/.devcontainer/Dockerfile",
"args": {
"CUDA": "12.8",
"CUDA": "12.9",
"PYTHON_PACKAGE_MANAGER": "conda",
"BASE": "rapidsai/devcontainers:25.08-cpp-mambaforge-ubuntu22.04"
}
},
"runArgs": [
"--rm",
"--name",
"${localEnv:USER:anon}-rapids-${localWorkspaceFolderBasename}-25.08-cuda12.8-conda"
"${localEnv:USER:anon}-rapids-${localWorkspaceFolderBasename}-25.08-cuda12.9-conda"
],
"hostRequirements": {"gpu": "optional"},
"features": {
Expand All @@ -20,7 +20,7 @@
"overrideFeatureInstallOrder": [
"ghcr.io/rapidsai/devcontainers/features/rapids-build-utils"
],
"initializeCommand": ["/bin/bash", "-c", "mkdir -m 0755 -p ${localWorkspaceFolder}/../.{aws,cache,config,conda/pkgs,conda/${localWorkspaceFolderBasename}-cuda12.8-envs}"],
"initializeCommand": ["/bin/bash", "-c", "mkdir -m 0755 -p ${localWorkspaceFolder}/../.{aws,cache,config,conda/pkgs,conda/${localWorkspaceFolderBasename}-cuda12.9-envs}"],
"postAttachCommand": ["/bin/bash", "-c", "if [ ${CODESPACES:-false} = 'true' ]; then . devcontainer-utils-post-attach-command; . rapids-post-attach-command; fi"],
"workspaceFolder": "/home/coder",
"workspaceMount": "source=${localWorkspaceFolder},target=/home/coder/cuvs,type=bind,consistency=consistent",
Expand All @@ -29,7 +29,7 @@
"source=${localWorkspaceFolder}/../.cache,target=/home/coder/.cache,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.config,target=/home/coder/.config,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.conda/pkgs,target=/home/coder/.conda/pkgs,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.conda/${localWorkspaceFolderBasename}-cuda12.8-envs,target=/home/coder/.conda/envs,type=bind,consistency=consistent"
"source=${localWorkspaceFolder}/../.conda/${localWorkspaceFolderBasename}-cuda12.9-envs,target=/home/coder/.conda/envs,type=bind,consistency=consistent"
],
"customizations": {
"vscode": {
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12 changes: 6 additions & 6 deletions .devcontainer/cuda12.8-pip/devcontainer.json → .devcontainer/cuda12.9-pip/devcontainer.json
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Expand Up @@ -3,20 +3,20 @@
"context": "${localWorkspaceFolder}/.devcontainer",
"dockerfile": "${localWorkspaceFolder}/.devcontainer/Dockerfile",
"args": {
"CUDA": "12.8",
"CUDA": "12.9",
"PYTHON_PACKAGE_MANAGER": "pip",
"BASE": "rapidsai/devcontainers:25.08-cpp-cuda12.8-ucx1.18.0-openmpi-ubuntu22.04"
"BASE": "rapidsai/devcontainers:25.08-cpp-cuda12.9-ucx1.18.0-openmpi-ubuntu22.04"
}
},
"runArgs": [
"--rm",
"--name",
"${localEnv:USER:anon}-rapids-${localWorkspaceFolderBasename}-25.08-cuda12.8-pip"
"${localEnv:USER:anon}-rapids-${localWorkspaceFolderBasename}-25.08-cuda12.9-pip"
],
"hostRequirements": {"gpu": "optional"},
"features": {
"ghcr.io/rapidsai/devcontainers/features/cuda:25.8": {
"version": "12.8",
"version": "12.9",
"installcuBLAS": true,
"installcuSOLVER": true,
"installcuRAND": true,
Expand All @@ -29,15 +29,15 @@
"ghcr.io/rapidsai/devcontainers/features/cuda",
"ghcr.io/rapidsai/devcontainers/features/rapids-build-utils"
],
"initializeCommand": ["/bin/bash", "-c", "mkdir -m 0755 -p ${localWorkspaceFolder}/../.{aws,cache,config/pip,local/share/${localWorkspaceFolderBasename}-cuda12.8-venvs}"],
"initializeCommand": ["/bin/bash", "-c", "mkdir -m 0755 -p ${localWorkspaceFolder}/../.{aws,cache,config/pip,local/share/${localWorkspaceFolderBasename}-cuda12.9-venvs}"],
"postAttachCommand": ["/bin/bash", "-c", "if [ ${CODESPACES:-false} = 'true' ]; then . devcontainer-utils-post-attach-command; . rapids-post-attach-command; fi"],
"workspaceFolder": "/home/coder",
"workspaceMount": "source=${localWorkspaceFolder},target=/home/coder/cuvs,type=bind,consistency=consistent",
"mounts": [
"source=${localWorkspaceFolder}/../.aws,target=/home/coder/.aws,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.cache,target=/home/coder/.cache,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.config,target=/home/coder/.config,type=bind,consistency=consistent",
"source=${localWorkspaceFolder}/../.local/share/${localWorkspaceFolderBasename}-cuda12.8-venvs,target=/home/coder/.local/share/venvs,type=bind,consistency=consistent"
"source=${localWorkspaceFolder}/../.local/share/${localWorkspaceFolderBasename}-cuda12.9-venvs,target=/home/coder/.local/share/venvs,type=bind,consistency=consistent"
],
"customizations": {
"vscode": {
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2 changes: 1 addition & 1 deletion .github/workflows/pr.yaml
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Expand Up @@ -228,7 +228,7 @@ jobs:
uses: rapidsai/shared-workflows/.github/workflows/build-in-devcontainer.yaml@branch-25.08
with:
arch: '["amd64"]'
cuda: '["12.8"]'
cuda: '["12.9"]'
build_command: |
sccache -z;
build-all --verbose;
Expand Down
4 changes: 2 additions & 2 deletions ...vironments/all_cuda-128_arch-aarch64.yaml → ...vironments/all_cuda-129_arch-aarch64.yaml
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Expand Up @@ -15,7 +15,7 @@ dependencies:
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-python>=12.6.2,<13.0a0
- cuda-version=12.8
- cuda-version=12.9
- cupy>=12.0.0
- cxx-compiler
- cython>=3.0.0
Expand Down Expand Up @@ -52,4 +52,4 @@ dependencies:
- sysroot_linux-aarch64==2.28
- pip:
- nvidia-sphinx-theme
name: all_cuda-128_arch-aarch64
name: all_cuda-129_arch-aarch64
4 changes: 2 additions & 2 deletions ...nvironments/all_cuda-128_arch-x86_64.yaml → ...nvironments/all_cuda-129_arch-x86_64.yaml
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Expand Up @@ -15,7 +15,7 @@ dependencies:
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-python>=12.6.2,<13.0a0
- cuda-version=12.8
- cuda-version=12.9
- cupy>=12.0.0
- cxx-compiler
- cython>=3.0.0
Expand Down Expand Up @@ -52,4 +52,4 @@ dependencies:
- sysroot_linux-64==2.28
- pip:
- nvidia-sphinx-theme
name: all_cuda-128_arch-x86_64
name: all_cuda-129_arch-x86_64
4 changes: 2 additions & 2 deletions ...ents/bench_ann_cuda-128_arch-aarch64.yaml → ...ents/bench_ann_cuda-129_arch-aarch64.yaml
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Expand Up @@ -16,7 +16,7 @@ dependencies:
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-python>=12.6.2,<13.0a0
- cuda-version=12.8
- cuda-version=12.9
- cupy>=12.0.0
- cuvs==25.8.*,>=0.0.0a0
- cxx-compiler
Expand Down Expand Up @@ -46,4 +46,4 @@ dependencies:
- setuptools
- sysroot_linux-aarch64==2.28
- wheel
name: bench_ann_cuda-128_arch-aarch64
name: bench_ann_cuda-129_arch-aarch64
4 changes: 2 additions & 2 deletions ...ments/bench_ann_cuda-128_arch-x86_64.yaml → ...ments/bench_ann_cuda-129_arch-x86_64.yaml
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Expand Up @@ -16,7 +16,7 @@ dependencies:
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-python>=12.6.2,<13.0a0
- cuda-version=12.8
- cuda-version=12.9
- cupy>=12.0.0
- cuvs==25.8.*,>=0.0.0a0
- cxx-compiler
Expand Down Expand Up @@ -49,4 +49,4 @@ dependencies:
- setuptools
- sysroot_linux-64==2.28
- wheel
name: bench_ann_cuda-128_arch-x86_64
name: bench_ann_cuda-129_arch-x86_64
4 changes: 2 additions & 2 deletions ...nvironments/go_cuda-128_arch-aarch64.yaml → ...nvironments/go_cuda-129_arch-aarch64.yaml
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Expand Up @@ -13,7 +13,7 @@ dependencies:
- cuda-nvcc
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-version=12.8
- cuda-version=12.9
- cxx-compiler
- dlpack>=0.8,<1.0
- gcc_linux-aarch64=13.*
Expand All @@ -28,4 +28,4 @@ dependencies:
- nccl>=2.19
- ninja
- sysroot_linux-aarch64==2.28
name: go_cuda-128_arch-aarch64
name: go_cuda-129_arch-aarch64
4 changes: 2 additions & 2 deletions ...environments/go_cuda-128_arch-x86_64.yaml → ...environments/go_cuda-129_arch-x86_64.yaml
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Expand Up @@ -13,7 +13,7 @@ dependencies:
- cuda-nvcc
- cuda-nvtx-dev
- cuda-profiler-api
- cuda-version=12.8
- cuda-version=12.9
- cxx-compiler
- dlpack>=0.8,<1.0
- gcc_linux-64=13.*
Expand All @@ -28,4 +28,4 @@ dependencies:
- nccl>=2.19
- ninja
- sysroot_linux-64==2.28
name: go_cuda-128_arch-x86_64
name: go_cuda-129_arch-x86_64
6 changes: 3 additions & 3 deletions dependencies.yaml
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Expand Up @@ -3,7 +3,7 @@ files:
all:
output: conda
matrix:
cuda: ["12.8"]
cuda: ["12.9"]
arch: [x86_64, aarch64]
includes:
- build
Expand All @@ -29,7 +29,7 @@ files:
bench_ann:
output: conda
matrix:
cuda: ["12.8"]
cuda: ["12.9"]
arch: [x86_64, aarch64]
includes:
- bench
Expand Down Expand Up @@ -100,7 +100,7 @@ files:
go:
output: conda
matrix:
cuda: ["12.8"]
cuda: ["12.9"]
arch: [x86_64, aarch64]
includes:
- clang
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4 changes: 2 additions & 2 deletions docs/source/build.rst
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Expand Up @@ -43,14 +43,14 @@ C/C++ Package

.. code-block:: bash

conda install -c rapidsai -c conda-forge libcuvs cuda-version=12.8
conda install -c rapidsai -c conda-forge libcuvs cuda-version=12.9

Python Package
~~~~~~~~~~~~~~

.. code-block:: bash

conda install -c rapidsai -c conda-forge cuvs cuda-version=12.8
conda install -c rapidsai -c conda-forge cuvs cuda-version=12.9

Python through Pip
^^^^^^^^^^^^^^^^^^
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6 changes: 3 additions & 3 deletions docs/source/cuvs_bench/index.rst
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Expand Up @@ -236,7 +236,7 @@ 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:25.06-cuda12.8-py3.13 \
rapidsai/cuvs-bench:25.08-cuda12.9-py3.13 \
"--dataset deep-image-96-angular" \
"--normalize" \
"--algorithms cuvs_cagra,cuvs_ivf_pq --batch-size 10 -k 10" \
Expand All @@ -249,7 +249,7 @@ Usage of the above command is as follows:
* - Argument
- Description

* - `rapidsai/cuvs-bench:25.06-cuda12.8-py3.13`
* - `rapidsai/cuvs-bench:25.08-cuda12.9-py3.13`
- Image to use. Can be either `cuvs-bench` or `cuvs-bench-datasets`

* - `"--dataset deep-image-96-angular"`
Expand Down Expand Up @@ -296,7 +296,7 @@ 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:25.06-cuda12.8-py3.13
rapidsai/cuvs-bench:25.08-cuda12.9-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](#running-the-benchmarks) section above:

Expand Down