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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
77d86f752f51ac4ca6a5d2269b83a0e902d960162e400b2fa2656cbb57f237f3CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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10a261bb5fd23371c52c2fab8ea0f59d4cec49cf31801c5b6a0f3aba62fc5aa3COPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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ef1f7aadf8e38d91460bdc3225f3f131a1ccfe4d53ce9b1c6ac1a6231f67faf0ENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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c476d769d38fe9ff5f38214843f46eba7bb10f777a70b77195b13f31bfd30af0ENV
HOLOSCAN_SDK_VERSION=3.9.0
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c439408e0d98da552e0f8277670380edd4f20b6b67a54616f952f003b7ea3e89ARG
HOLOSCAN_SDK_VERSION=3.9.0
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acf4690632e24770b1db512105d501378a80764b07a22a0949e2f4b871aa0230RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 GPU_TYPE=igpu 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-aarch64-igpu 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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7f84d55af146cb222254fa39545882fff245dd95783e4561c747bbc7103042f5RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 GPU_TYPE=igpu 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-aarch64-igpu 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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3ab4b73111e0eb463334c3b1503497e6fcd5a7d7c83aa7167e09ebe495b32ee0RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 GPU_TYPE=igpu 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-aarch64-igpu 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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e2c879dd2be5c84d79f21ae5dd5c39aa3732faf25cf5bb4eac52de4b09d5ba95WORKDIR
/opt/nvidia/cudss
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2bbea50b5ec619926c8c4d1183f5aebbde6cf1c1d0284002a00a3dda1e2bb030ARG
CUDA_MAJOR=12
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...

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