Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
RAPIDS Base
Container
NVIDIA
RAPIDS Base

The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
ipython
10/08/2026 4:39 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/home/rapids/entrypoint.sh
10/08/2026 4:39 PM UTC
sha256:a2e36cda13ab11eb8968a86741c267e7ea0b7db9abeb67dde963fb5da85f030aCOPY
entrypoint.sh /home/rapids/entrypoint.sh
10/08/2026 4:39 PM UTC
sha256:e7c3444b9c0ac503abc50b37d6e050687f1063ab9e192b97e7f4801a3cd848a6RUN
RUN |5 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.11 DEBIAN_FRONTEND=noninteractive RAPIDS_VER=26.10 /bin/bash -euo pipefail -c # Include common diagnostic info conda info conda config --show-sources conda list --show-channel-urls # Install RAPIDS PACKAGES_TO_INSTALL=( "rapids=${RAPIDS_VER}.*" "python=${PYTHON_VER}.*" "cuda-version=${CUDA_VER%.*}.*" 'ipython>=8.37.0' 'rapids-cli==0.1.*' ) rapids-conda-retry install -y -n base \
"${PACKAGES_TO_INSTALL[@]}" conda clean -afy # buildkit
10/08/2026 4:39 PM UTC
sha256:e5d7467def219aad1c43244312b8db916d2e2d1cf13871a785ba5d8a586d8646COPY
condarc /opt/conda/.condarc
10/08/2026 4:27 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/home/rapids
10/08/2026 4:27 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
rapids
10/08/2026 4:27 PM UTC
sha256:c334ed9e82909aec97e1eb6d527b28d1305528a6b353d2865dfacc31bcfc382bRUN
CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.11 DEBIAN_FRONTEND=noninteractive RAPIDS_VER=26.10 /bin/bash -euo pipefail -c curl -sSL https://gist.githubusercontent.com/sethmlarson/1716ac5b82b73dbcbf23ad2eff8b33e1/raw/70aedc4e31f4785b537b026f903fafc758fb2c17/cve-2025-8194.py -o ${PYTHON_SITE_PKGS}/tarfile_patch.py &&
  echo "import tarfile_patch" > ${PYTHON_SITE_PKGS}/zzz_tar_patch.pth
10/08/2026 4:27 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHON_SITE_PKGS=/opt/conda/lib/python3.11/site-packages
10/08/2026 4:27 PM UTC
sha256:9b3d04c6e1588cdcd52016c7446a2ff39fb9a3b98b5f93bfa625927ae0157e9dRUN
CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.11 DEBIAN_FRONTEND=noninteractive RAPIDS_VER=26.10 /bin/bash -euo pipefail -c useradd -rm -d /home/rapids -s /bin/bash -g conda -u 1001 rapids
10/08/2026 4:27 PM UTC
1-10 of 47 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings