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 2:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/home/rapids/entrypoint.sh
12/12/2024 2:48 PM UTC
sha256:43a57ec8e64e828201d17d30b01eff612aa8f035aa8ff1c410c06cd64adc28a9COPY
entrypoint.sh /home/rapids/entrypoint.sh
12/12/2024 2:48 PM UTC
sha256:86a0adb4753910c5ad5b37b0843e6f395bdc9dd0d1eac5d8679241a176b8a7f8RUN
RUN |3 CUDA_VER=11.8.0 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 2:48 PM UTC
sha256:c467d726dcc95e302f6e1fc3792ef73191524c3685e0b7da5862966f0831ceb4COPY
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:dc9983ca9abc32426f0a181231385342999bc4f48aa011fbaa382dfe6cfd4a65RUN
CUDA_VER=11.8.0 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