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
Open Source
rapidsai/rapidsai-core
Container
Open Source
rapidsai/rapidsai-core

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

LayerLabelCreated
a440c0f5c3c4b4d415485da77c3158ee429925acce4ed536e2d4676b5ec084f5RUN
/bin/bash
06/23/2023 5:15 PM UTC
cd5fd152fb147187484833a769e54072fd5ba5ad89a5ac0f1345ea1cf9d0be1cRUN
/bin/bash -c #(nop) CMD ["/bin/bash"]
06/23/2023 5:14 PM UTC
ca5feb7c5f2f53d8bc0c7a0862c9db14ebcf48921149f6da04c3d249ac616c8cRUN
/bin/bash -c #(nop) ENTRYPOINT ["/opt/conda/bin/tini" "--" "/opt/docker/bin/entrypoint"]
06/23/2023 5:14 PM UTC
4fea576a0baebd2cfb5fae4341353c7e88c4b97e97d28c750c6a82815743925bRUN
/bin/bash -c #(nop) ENV PATH=/opt/conda/condabin:/opt/conda/envs/rapids/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
06/23/2023 5:14 PM UTC
86eb62c5dd8eb19986fb5f39666965180a91f7e340ab415a0d6725c039037bf2RUN
/bin/bash -c #(nop) COPY file:3dfa94e05f2807928cc98f7c4ef8e46cb9956e13d161c60bf41b6f5a0435b03d in /opt/docker/bin/entrypoint
06/23/2023 5:14 PM UTC
d3510da27f11198156161f236bbbc7cca1d620c0062ba2f355183fb412139c9dRUN
/bin/bash -c #(nop) COPY file:103ef27a9d046e24b11dad1e23900dc1b636f030cf8950ba73a5246811ee28e2 in /opt/docker/bin/entrypoint_source
06/23/2023 5:14 PM UTC
e795bbb9ba81926345512cb47a8da96c75b4dbb9f5bb1302379558a32f3e8cb5RUN
/bin/bash -c #(nop) COPY file:d69330b896afc9eb6b79d6454d0c7826422056a2612ccc1e4e7e3660b1facb7f in .
06/23/2023 5:13 PM UTC
47c0dc28e282be493dcb310df35663d6b65a66f1d5facfa0cd1a7fa6e0d09122RUN
BUILD_BRANCH=main CUDA_VER=11.8 DASK_XGBOOST_VER=0.2* LINUX_VER=ubuntu22.04 /bin/bash -c chmod -R ugo+w /opt/conda ${RAPIDS_DIR} &&
  conda clean -tipy &&
  chmod -R ugo+w /opt/conda ${RAPIDS_DIR}
06/23/2023 5:13 PM UTC
e56fff41d1ec086b91a6eff3838aa83844fb5e6fbeb907d82cf0a83e7f8147b7RUN
/bin/bash -c #(nop) COPY file:cedbdf8ac2e746a44fd3963ba09c5dc053e1fa852e47a8a0eec6c40cd7170787 in /opt/docker/bin/
06/23/2023 5:08 PM UTC
3da4ed84f92ca556cc4adabdc4517f3d4cd7d75deb595bd3eb19497d4269378fRUN
/bin/bash -c #(nop) EXPOSE 8786
06/23/2023 5:08 PM UTC
...