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
    		12/17/2025 10:56 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /home/rapids/entrypoint.sh
    		12/17/2025 10:56 PM UTC
    sha256:aca1b81d475d50927151e09e40ba0cba081884d2b0ca9ab458411de2e45644feCOPY
    entrypoint.sh /home/rapids/entrypoint.sh
    		12/17/2025 10:56 PM UTC
    sha256:1ce2a484318b4384151abde7443e552430fc62b684134d88a6c2c0e9ee539facRUN
    RUN |3 CUDA_VER=12.9.1 PYTHON_VER=3.12 RAPIDS_VER=25.12 /bin/bash -euo pipefail -c # Include common diagnostic info conda info conda config --show-sources conda list --show-channel-urls # Install RAPIDS rapids-mamba-retry install -y -n base \
"rapids=${RAPIDS_VER}.*" \
"python=${PYTHON_VER}.*" \
"cuda-version=${CUDA_VER%.*}.*" \
ipython \
'rapids-cli==0.1.*' \
'openssl==3.6.0' conda clean -afy # buildkit
    		12/17/2025 10:56 PM UTC
    sha256:0f50ad7bf6c7833ae8a9e424e13bf138ae81e6f9bc961630f4bd78ddd815ba1aCOPY
    condarc /opt/conda/.condarc
    		12/17/2025 10:53 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
    /home/rapids
    		12/17/2025 10:53 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
    rapids
    		12/17/2025 10:53 PM UTC
    sha256:935bd9de4aede1f33d195b010f78f5b1ade8787f4fb1245461c8038307255335RUN
    CUDA_VER=12.9.1 PYTHON_VER=3.12 RAPIDS_VER=25.12 /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
    		12/17/2025 10:53 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHON_SITE_PKGS=/opt/conda/lib/python3.12/site-packages
    		12/17/2025 10:53 PM UTC
    sha256:4bbac55165e7dcd3f3351a19aabd96ef7f79cbfd8b48ee10abed7e3c43922969RUN
    CUDA_VER=12.9.1 PYTHON_VER=3.12 RAPIDS_VER=25.12 /bin/bash -euo pipefail -c useradd -rm -d /home/rapids -s /bin/bash -g conda -u 1001 rapids
    		12/17/2025 10:53 PM UTC

    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.