rapidsai/notebooks:26.08a-cuda12-py3.12-amd64

Manifest digest

sha256:ca9cedc5b09c93f65c4e1616c89fb511f5e693e038e5925094cd27e4dbf309dd

OS/ARCH

linux/amd64

Compressed size

5.89 GB

Last pushed

about 23 hours by gpucibot

Type

Image

Manifest digest

sha256:ca9cedc5b09c93f65c4e1616c89fb511f5e693e038e5925094cd27e4dbf309dd

Image Layers

Image Layers

1ARG RELEASE0 B

2ARG LAUNCHPAD_BUILD_ARCH0 B

3LABEL org.opencontainers.image.ref.name=ubuntu0 B

4LABEL org.opencontainers.image.version=24.040 B

5ADD file ... in / 28.34 MB

6CMD ["/bin/bash"]0 B

7ENV NVARCH=x86_640 B

8

ENV NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536

0 B

9ENV NV_CUDA_CUDART_VERSION=12.9.79-10 B

10ARG TARGETARCH0 B

11LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B

12RUN |1 TARGETARCH=amd64 /bin/sh -c4.34 MB

13ENV CUDA_VERSION=12.9.10 B

14RUN |1 TARGETARCH=amd64 /bin/sh -c98.72 MB

15RUN |1 TARGETARCH=amd64 /bin/sh -c182 B

16ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

17ENV LD_LIBRARY_PATH=/usr/local/cuda/lib640 B

18COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.72 KB

19ENV NVIDIA_VISIBLE_DEVICES=all0 B

20ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B

21ARG CUDA_VER=12.9.10 B

22ARG LINUX_VER=ubuntu24.040 B

23ARG PYTHON_VER=3.120 B

24ARG DEBIAN_FRONTEND=noninteractive0 B

25ENV PATH=/opt/conda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

26ENV CONDA_PREFIX=/opt/conda0 B

27ENV PYTHON_VERSION=3.120 B

28SHELL [/bin/bash -euo pipefail -c]0 B

29RUN |4 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.122.53 KB

30COPY --chown=root:conda --chmod=770 /opt/conda /opt/conda139.27 MB

31COPY pinned /opt/conda/conda-meta/pinned # buildkit213 B

32RUN |4 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.12128.9 MB

33ARG CUDA_VER=12.9.10 B

34ARG PYTHON_VER=3.120 B

35ARG RAPIDS_VER=26.080 B

36SHELL [/bin/bash -euo pipefail -c]0 B

37RUN |5 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.1222.24 MB

38RUN |5 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.122.9 KB

39ENV PYTHON_SITE_PKGS=/opt/conda/lib/python3.12/site-packages0 B

40RUN |5 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.12413 B

41USER rapids0 B

42WORKDIR /home/rapids32 B

43COPY condarc /opt/conda/.condarc # buildkit225 B

44RUN |5 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.125.33 GB

45COPY entrypoint.sh /home/rapids/entrypoint.sh # buildkit936 B

46ENTRYPOINT ["/home/rapids/entrypoint.sh"]0 B

47CMD ["ipython"]0 B

48ARG CUDA_VER=12.9.10 B

49ARG LINUX_DISTRO=ubuntu0 B

50ARG LINUX_DISTRO_VER=24.040 B

51SHELL [/bin/bash -euo pipefail -c]0 B

52USER rapids0 B

53WORKDIR /home/rapids32 B

54COPY --chown=rapids /test_notebooks_dependencies.yaml test_notebooks_dependencies.yaml #538 B

55COPY --chown=rapids /notebooks /home/rapids/notebooks #46.38 MB

56RUN |7 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.1298.13 MB

57RUN |7 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.12363.62 KB

58RUN |7 CUDA_VER=12.9.1 LINUX_VER=ubuntu24.04 PYTHON_VER=3.12315.49 KB

59ENV DASK_LABEXTENSION__FACTORY__MODULE=dask_cuda0 B

60ENV DASK_LABEXTENSION__FACTORY__CLASS=LocalCUDACluster0 B

61COPY test_notebooks.py /home/rapids/ # buildkit2.09 KB

62EXPOSE [8888/tcp]0 B

63ENTRYPOINT ["/home/rapids/entrypoint.sh"]0 B

64CMD ["sh" "-c" "jupyter-lab --notebook-dir=/home/rapids/notebooks0 B

65LABEL com.nvidia.workbench.application.jupyterlab.class=webapp0 B

66LABEL com.nvidia.workbench.application.jupyterlab.health-check-cmd=[ \$(echo url=\$(jupyter lab0 B

67LABEL com.nvidia.workbench.application.jupyterlab.start-cmd=jupyter lab --allow-root --port0 B

68LABEL com.nvidia.workbench.application.jupyterlab.stop-cmd=jupyter lab stop 88880 B

69LABEL com.nvidia.workbench.application.jupyterlab.type=jupyterlab0 B

70LABEL com.nvidia.workbench.application.jupyterlab.webapp.autolaunch=true0 B

71LABEL com.nvidia.workbench.application.jupyterlab.webapp.port=88880 B

72LABEL com.nvidia.workbench.application.jupyterlab.webapp.url-cmd=jupyter lab list |0 B

73LABEL com.nvidia.workbench.cuda-version=12.9.10 B

74LABEL com.nvidia.workbench.description=RAPIDS with CUDA 12.9.10 B

75LABEL com.nvidia.workbench.entrypoint-script=/home/rapids/entrypoint.sh0 B

76LABEL com.nvidia.workbench.image-version=26.08.000 B

77LABEL com.nvidia.workbench.labels=cuda12.9.10 B

78LABEL com.nvidia.workbench.name=RAPIDS with CUDA 12.9.10 B

79LABEL com.nvidia.workbench.os-distro-release=24.040 B

80LABEL com.nvidia.workbench.os-distro=ubuntu0 B

81LABEL com.nvidia.workbench.os=linux0 B

82LABEL com.nvidia.workbench.package-manager-environment.target=/opt/conda0 B

83LABEL com.nvidia.workbench.package-manager-environment.type=conda0 B

84LABEL com.nvidia.workbench.package-manager.apt.binary=/usr/bin/apt0 B

85LABEL com.nvidia.workbench.package-manager.apt.installed-packages=0 B

86LABEL com.nvidia.workbench.package-manager.conda3.binary=/opt/conda/bin/conda0 B

87LABEL com.nvidia.workbench.package-manager.conda3.installed-packages=rapids cudf cuml cugraph0 B

88LABEL com.nvidia.workbench.package-manager.pip.binary=/opt/conda/bin/pip0 B

89LABEL com.nvidia.workbench.package-manager.pip.installed-packages=jupyterlab-nvdashboard0 B

90LABEL com.nvidia.workbench.programming-languages=python30 B

91LABEL com.nvidia.workbench.schema-version=v20 B

92LABEL com.nvidia.workbench.user.gid=10000 B

93LABEL com.nvidia.workbench.user.uid=10010 B

94LABEL com.nvidia.workbench.user.username=rapids0 B

Command

 ARG RELEASE