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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
7a03e775b4dc2436afa02c178d545d7f769a7e1b8a6908262d3c14521c094ad3CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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0459e162cc02f3802a800c892643188e5e341377fa913b0f924c12e33cac1601COPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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bb547ad1bd42523143b4fbd5fff265c8a97a4888e0607327679102b7e4967924ENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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be92a44d1de372199972af32d8f912b503a2dd29a99fda06b0789d879598b370ENV
HOLOSCAN_SDK_VERSION=3.7.0
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b0513904c494d6197bb3fd2711eb54e05650697d4855cdd4790762e3ebd3b772ARG
HOLOSCAN_SDK_VERSION=3.7.0
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0e36238afd8467a9e2b7255a00c14b5efe37ff4bbc7920e842e61b08ad8306d5RUN
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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de632b4f45559edceffcb041c8baf269fb5a9b5117c40585a7ae9139fc44ddc7RUN
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
09/30/2025 11:13 AM UTC
8f8be7fe83cd6455e31a2d073378f99440478299094cf6dc22234dab26f15f99RUN
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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1fb765a4ef1c669af65552db503cc3fa1fb9583da80fe0453f55db07c28bd677WORKDIR
/opt/nvidia/cudss
09/30/2025 11:13 AM UTC
b36c7793bacbbb2a26ec6cf6a3f976752554cb9b2cbf3bfc522480d4263fd3a0ARG
CUDA_MAJOR=13
09/30/2025 11:13 AM UTC
...

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