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
10/10/2024 2:46 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/home/rapids/entrypoint.sh
10/10/2024 2:46 PM UTC
sha256:a642d22f45ac4903897ddbbba597265b55b2e4386a9877e8824c97f666f658cfCOPY
entrypoint.sh /home/rapids/entrypoint.sh
10/10/2024 2:46 PM UTC
sha256:75d7478edd0f4c92009b776d50d86ddaaaa5ac11ebd1d90498b70122e7e62187RUN
RUN |3 CUDA_VER=11.8.0 PYTHON_VER=3.12 RAPIDS_VER=24.10 /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
10/10/2024 2:46 PM UTC
sha256:665ed9c22a049cd31b6458e940d6762c44feaea9eb6561947a4ac08da95aa77fCOPY
condarc /opt/conda/.condarc
10/10/2024 2:39 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
/home/rapids
10/10/2024 2:39 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
rapids
10/10/2024 2:39 PM UTC
sha256:e1c3747ce9cef6b583485f47d24965f87b2afb28ee9c9cc9c8bad95a7016a9f3RUN
CUDA_VER=11.8.0 PYTHON_VER=3.12 RAPIDS_VER=24.10 /bin/bash -euo pipefail -c useradd -rm -d /home/rapids -s /bin/bash -g conda -u 1001 rapids
10/10/2024 2:39 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4SHELL
[/bin/bash -euo pipefail -c]
10/10/2024 2:39 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
RAPIDS_VER=24.10
10/10/2024 2:39 PM UTC