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NVIDIA
Holoscan Container
Container
NVIDIA
NVIDIA
Holoscan Container

The Holoscan container includes the Holoscan libraries, GXF extensions, headers, example source code, and sample datasets. It is the recommended way to run the Holoscan examples or build your own applications.

NVIDIA AI Enterprise Supported
LayerLabelCreated
24ddef3c99d8e453e20da16d5a8a5793d0a597076fe64ba1a93d4d89ddff2211CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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d76db2ad6a8cacb7dfa3a7afe9032ceb991cc25de3110d2a2b99371e345070d5COPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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e430d5637fb10c6220dd0149e21d9e7ab91978c68815d203bae7888bc9ae0666ENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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e52d2cabc2f1d8487c3149c849bee95222aa1adfd1577fbd074a62060d00a9e5ENV
HOLOSCAN_SDK_VERSION=3.8.0
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27820436383a107c66bbd8349cf83738c287bb355566fa8ef83837bd95f3847fARG
HOLOSCAN_SDK_VERSION=3.8.0
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57581c574914a409b3856cb89668b8a7e7e39179e8544895a8dcc51c6d0bdf3eRUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.1.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=13 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu13-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 mkdir /opt/nvidia/legal &&
  mv /opt/nvidia/entrypoint.d/13-tensorrt-copyright.txt /opt/nvidia/entrypoint.d/30-container-license.txt /opt/nvidia/legal/ ||
  true
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e8e543d9581ad56968977e4c6f4ddcb67c3d2d6d38e034f1518b3c2a78219c73RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.1.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=13 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu13-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 rm -f /opt/nvidia/entrypoint.d/40-tensorrt-samples-info.txt /opt/nvidia/entrypoint.d/29-tensorrt-url.txt /opt/nvidia/entrypoint.d/12-banner.sh ||
  true
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918afdafa85c4818b90d02926bf07fd9918d20e54b9b307a90f7190a00e5a14eRUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.1.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=13 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu13-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 if find ${LIBTORCH} -name libtorch.so | xargs -I {} ldd {} | grep -q "libcudss.so"; then curl -S -# -o cudss.tar.xz "https://developer.download.nvidia.com/compute/cudss/redist/libcudss/linux-$(uname -m)/libcudss-linux-$(uname -m)-${CUDSS_VERSION}_cuda${CUDA_MAJOR}-archive.tar.xz" &&
  tar xJf cudss.tar.xz --strip-components 1 --no-same-owner --no-same-permissions &&
  rm -f cudss.tar.xz &&
  echo "/opt/nvidia/cudss/lib" >> /etc/ld.so.conf.d/cudss.conf &&
  ldconfig &&
  ldconfig -p | grep -q cudss; fi
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90ce609c0f1edae2578537dbe9e1524d5138c861cdaa1396990b1b231d6db387WORKDIR
/opt/nvidia/cudss
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8c81581ed85c670de93b247b40be118b6aa33387fd86d9b9944ebfc34a410becARG
CUDA_MAJOR=13
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...

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