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Fix GPU pipeline failure in Kubernetes/GKE (libcuda.so.1 and nvidia-smi PATH) #2003

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Fix GPU pipeline failure in Kubernetes/GKE (libcuda.so.1 and nvidia-smi PATH) #2003

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89fcb78
Add nvidia paths in `gpu.Dockerfile` for k8s compatibility
Connah-rs Mar 11, 2026
1a0282e
Added comments re NVIDIA/GKE paths
Connah-rs Mar 16, 2026
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4 changes: 2 additions & 2 deletions gpu.Dockerfile
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Expand Up @@ -30,15 +30,15 @@ FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/local/lib/python3.12/dist-packages:/code/SuperBuild/install/lib/python3.12/dist-packages:/code/SuperBuild/install/bin/opensfm" \
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib" \
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib" \
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PDAL_DRIVER_PATH="/code/SuperBuild/install/bin"

WORKDIR /code

# Copy everything we built from the builder
COPY --from=builder /code /code

ENV PATH="/code/venv/bin:$PATH"
ENV PATH="/code/venv/bin:/usr/local/nvidia/bin:$PATH"

RUN apt-get update -y \
&& apt-get install -y ffmpeg libtbbmalloc2
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