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  • 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
    		12/12/2024 2:46 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
    /home/rapids/entrypoint.sh
    		12/12/2024 2:46 PM UTC
    sha256:ecae8dc989a5e6686434752831bf310e8ce5e2936e3dcc980924647782bd4b84COPY
    entrypoint.sh /home/rapids/entrypoint.sh
    		12/12/2024 2:46 PM UTC
    sha256:94588fd89a029bdbeb8b3bfa8a09f73384cd9d358abaa266621a6611dabb51ddRUN
    RUN |3 CUDA_VER=12.0.1 PYTHON_VER=3.12 RAPIDS_VER=24.12 /bin/bash -euo pipefail -c # Include common diagnostic info conda info conda config --show-sources conda list --show-channel-urls # Install RAPIDS mamba install -y -n base \
"rapids=${RAPIDS_VER}.*" \
"python=${PYTHON_VER}.*" \
"cuda-version=${CUDA_VER%.*}.*" \
ipython conda clean -afy # buildkit
    		12/12/2024 2:46 PM UTC
    sha256:b6e345d3d7349fc536a4871de5dcb91737db1905d6d730359d179a8dc053f52eCOPY
    condarc /opt/conda/.condarc
    		12/12/2024 2:43 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
    /home/rapids
    		12/12/2024 2:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
    rapids
    		12/12/2024 2:43 PM UTC
    sha256:96f595d759d5a13bc88d6d8e9a32bc2704028823206821d69b08df94b8e593c8RUN
    CUDA_VER=12.0.1 PYTHON_VER=3.12 RAPIDS_VER=24.12 /bin/bash -euo pipefail -c useradd -rm -d /home/rapids -s /bin/bash -g conda -u 1001 rapids
    		12/12/2024 2:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4SHELL
    [/bin/bash -euo pipefail -c]
    		12/12/2024 2:43 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    RAPIDS_VER=24.12
    		12/12/2024 2:43 PM UTC

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