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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
    sha256:440dd8e45911e84a13566fc6fde6b7ab63a14972f0e742dad8ba810047d096f5COPY
    entrypoint.sh /home/rapids/entrypoint.sh
    		12/12/2024 2:46 PM UTC
    sha256:e22b004bbbbf603c1ab7141ced93c1e25ee67aeb91e1c52a1b8fcd9cdd5b8ed1RUN
    RUN |3 CUDA_VER=12.5.1 PYTHON_VER=3.11 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
    sha256:4feec9dae9702b94928255f572da515e19852265a63156db1d6280e69b8f6979COPY
    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:d4bafbf6326c822a911ce0c2590d10f748730ca21deeeade1a62abc6f87a4f7dRUN
    CUDA_VER=12.5.1 PYTHON_VER=3.11 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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