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  • NVIDIA
    NVIDIA
    Holoscan Container
    Container
    NVIDIA
    NVIDIA
    Holoscan Container

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

  • LayerLabelCreated
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
    /opt/nvidia/holoscan
    		09/30/2025 11:13 AM UTC
    sha256:b3cc9f2bf7bfbbf623c3c2630aadee90d617e014374f0a750c14310ba95a9466COPY
    docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
    		09/30/2025 11:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
    		09/30/2025 11:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    HOLOSCAN_SDK_VERSION=3.7.0
    		09/30/2025 11:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HOLOSCAN_SDK_VERSION=3.7.0
    		09/30/2025 11:13 AM UTC
    sha256:37039e01a457f66f7853b6e65251ccc77f69449b6859ff7f772c625813fc4ef3RUN
    ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 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-aarch64-dgpu 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
    		09/30/2025 11:13 AM UTC
    sha256:553efc994c7d95bb004d95072af642cb4af6601950319374ebbb505bcdff8839RUN
    ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 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-aarch64-dgpu 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
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 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-aarch64-dgpu 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
    		09/30/2025 11:13 AM UTC
    sha256:8e1986a9b447e1a1176eada86c2ea139fb005698ab3127581e109ea3f9a42ef6WORKDIR
    /opt/nvidia/cudss
    		09/30/2025 11:13 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUDA_MAJOR=13
    		09/30/2025 11:13 AM UTC
    ...

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