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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 11:12 AM UTC
    sha256:b79015ff16824a1b51d43e66651dbbad4755101b355cd59b2f4b93b14ba75a94COPY
    docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
    		09/30/2025 11:12 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
    		09/30/2025 11:12 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    HOLOSCAN_SDK_VERSION=3.7.0
    		09/30/2025 11:12 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HOLOSCAN_SDK_VERSION=3.7.0
    		09/30/2025 11:12 AM UTC
    sha256:322734cebbdee86ed597360de38b730cdc24de02e19dce656156bea3fb05fb24RUN
    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
    		09/30/2025 11:12 AM UTC
    sha256:eb4d57e1284f0deeb07a8dbe0ea25d7e46eae6109661d67c52a13a8a3ebf7f29RUN
    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
    		09/30/2025 11:12 AM UTC
    sha256:63ff07b03443a74ee78142a390f9bf26acab34be630a2177abbb274c2689ef54RUN
    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
    		09/30/2025 11:12 AM UTC
    sha256:53a02db32ae3912cc65b65417fca0abe88cd6021c91e05a8bc0d7c2685a1d27dWORKDIR
    /opt/nvidia/cudss
    		09/30/2025 11:12 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUDA_MAJOR=12
    		09/30/2025 11:12 AM UTC
    ...