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4 changes: 2 additions & 2 deletions docker/Dockerfile.gb200
Original file line number Diff line number Diff line change
Expand Up @@ -140,8 +140,8 @@ RUN apt-get update && apt-get install -y \

RUN apt update -y \
&& apt install -y --no-install-recommends gnupg \
&& echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2204/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) /" | tee /etc/apt/sources.list.d/nvidia-devtools.list \
&& apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/$(if [ "$(uname -m)" = "aarch64" ]; then echo "sbsa"; else echo "x86_64"; fi)/3bf863cc.pub \
&& echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "amd64"; fi) /" | tee /etc/apt/sources.list.d/nvidia-devtools.list \
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medium

The change reverts to using the Ubuntu 20.04 repository for NVIDIA devtools. While this resolves the immediate issue, using repositories from older Ubuntu versions on a newer base image (Ubuntu 22.04) can lead to potential dependency conflicts and instability in the long term. Consider if there's a more targeted fix or a way to use a repository that aligns with the base OS version.

&& apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/$(if [ "$(uname -m)" = "aarch64" ]; then echo "arm64"; else echo "x86_64"; fi)/7fa2af80.pub \
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medium

The change reverts to using a GPG key from the Ubuntu 18.04 CUDA repository. Similar to the repository concern, using keys from older Ubuntu versions may introduce compatibility issues or unexpected behavior. Verify that this key is fully compatible with the packages being installed and consider updating to a key that matches the Ubuntu 22.04 base image if possible.

&& apt update -y \
&& apt install nsight-systems-cli -y

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