Skip to main content
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
    sha256:54789a81a5626a15d0e6b999f3a7e04f1c24ed3b1cccf820b2a25968d08c3092COPY
    entrypoint.sh /home/rapids/entrypoint.sh
    12/17/2025 10:54 PM UTC
    sha256:1ce8fc3a6b6c0152fa4eccc4447faf5aa1278b165a72e1a2913daaf5b5679fb6RUN
    RUN |3 CUDA_VER=13.0.2 PYTHON_VER=3.10 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:d432c291456a71518eb528d9ebbc88ed61dbc124e1b961ee7a97d87d5d78143bCOPY
    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:d3e95132011758384ea9068994564ace42ec66a0816288325c933c31ff671590RUN
    CUDA_VER=13.0.2 PYTHON_VER=3.10 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/python3.10/site-packages
    12/17/2025 10:52 PM UTC
    sha256:3a262ceea289570fb97a85dcfa6cbef9bfd017d1214fbdad92dc9bf57ed4c097RUN
    CUDA_VER=13.0.2 PYTHON_VER=3.10 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.