NVIDIA
NVIDIA
RAPIDS Base
Container
NVIDIA
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