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 10:54 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /home/rapids/entrypoint.sh
    		12/17/2025 10:54 PM UTC
    sha256:d08068aad9ea4905183b35460e3f1ba28b218fbad2805e53363e72e9c64ded96COPY
    entrypoint.sh /home/rapids/entrypoint.sh
    		12/17/2025 10:54 PM UTC
    sha256:b92385ade81feda0d7bce4b2f3dd1d90ba23aee27509dd07b5a643756783a45eRUN
    RUN |3 CUDA_VER=13.0.2 PYTHON_VER=3.11 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 10:54 PM UTC
    sha256:a597c70ae37e9a18a1e1f4e46ab6cc400a75b79f615b1cd8e058fae02c2bcf90COPY
    condarc /opt/conda/.condarc
    		12/17/2025 10:52 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
    /home/rapids
    		12/17/2025 10:52 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
    rapids
    		12/17/2025 10:52 PM UTC
    sha256:affacbcf998b82f3795d7edd3c4eea35282a8dbbf596573dcac59a96fa2683b8RUN
    CUDA_VER=13.0.2 PYTHON_VER=3.11 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 10:52 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHON_SITE_PKGS=/opt/conda/lib/python3.11/site-packages
    		12/17/2025 10:52 PM UTC
    sha256:4ad4249d5d3d2db832775a2db8a962cccf4c20bc020e6058e6ccc2571a0b25d3RUN
    CUDA_VER=13.0.2 PYTHON_VER=3.11 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 10:52 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.