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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
53e977269e8d7709c3410a2632337e7309838f62ad699931294cd24ab14e4d2fCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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a2e0b7000042b6074bf0904e325fec932ca296e6200ccab48ce620dd8c571377COPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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e877a1e0c7a7085aad85ae4d49dc0f18b8862d673d8e7f5ba43c37d765349565ENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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c0df0039bdbdf9d844d0c0831a816c30e55afe8fe434b36c17492e1568a7eb8aENV
HOLOSCAN_SDK_VERSION=3.8.0
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2cbae5978fa20a45c0086bd46e3f3b46b75c915e9f3d1de0e049e6ba7c4bb5c0ARG
HOLOSCAN_SDK_VERSION=3.8.0
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2c72207d512e0dd4648663ae6f8f54becede3930735409228039a4155913c4e4RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-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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8b4f0942c552db97788a30e3549b0121e52d0980380cc171e2b04c4f04489cb5RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-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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e9d8eb450c6a831495e7c005123a5781896c4ebe0310263ae9dab9655baa3038RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-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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9066066b147f790a6beca195499677439532ee860fbb062fcb8f32b72ad2c6c4WORKDIR
/opt/nvidia/cudss
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1de44ac2cd799ace3402bb936e0b1c2cded2b036e0ba2aad68f04efb47984690ARG
CUDA_MAJOR=12
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...

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