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 4:29 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/home/rapids/entrypoint.sh
10/08/2026 4:29 PM UTC
sha256:49c539a8f2b2efddef8edf2038b2891c8384f5b6f1d9d4e1da8ffb786478c067COPY
entrypoint.sh /home/rapids/entrypoint.sh
10/08/2026 4:29 PM UTC
sha256:beaae1ab5bb56c7af7303642262177060c1caa628a5298bea8c293901ae47097RUN
RUN |5 CUDA_VER=13.3.0 LINUX_VER=ubuntu24.04 PYTHON_VER=3.14 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 4:29 PM UTC
sha256:53a87b54daefe5220a0ad1f53f17f054789b2bc9454d874ae24bb0d8753e4181COPY
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:b1fa644c0cd78991d902af40d1ff1ad7eb09ae23d4fe62dade87ef9af46a7808RUN
CUDA_VER=13.3.0 LINUX_VER=ubuntu24.04 PYTHON_VER=3.14 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/python3.14/site-packages
10/08/2026 4:27 PM UTC
sha256:b5f029b80ded5ee4237362955f7bebcaacb2061ae5bbc15f606a4d02e0e1bc59RUN
CUDA_VER=13.3.0 LINUX_VER=ubuntu24.04 PYTHON_VER=3.14 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 49 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