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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
f78ab02b78ee56dfd2be973fd63aa1bb6de431ad6d1751d5837d94456795e299CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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c955cb8cdfcd3004da2866f5ee1404934aefcaf8071f395d1d149457552e010dCOPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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208290e80941e21947706c9515d7f8dcfd428ef07d1dc6fe27bc35e7113bbe6eENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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367148840bdaca2affed721a00d09e2485ee5253038a2192f4dbd45986f343c0ENV
HOLOSCAN_SDK_VERSION=3.8.0
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4ca0d2e244fc9f499257cfc007c4bc1db4a80b80969ed46f2d68c2299bd74d1cARG
HOLOSCAN_SDK_VERSION=3.8.0
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28dff262f24edfff0b3245315d2c81d1de591146eba8767b952d933b8c17c424RUN
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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e9ec38d4a079e2892f9b3ba7f5c10f04a93d6545984f124bcae0ed74a7c5cfb9RUN
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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65ecd53b5878b569706aef645bca2332d7fb66d709b19d5872ad44cd48f31f0fRUN
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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4ddb674673e49f945092cb07958a310ffdc67c94a0bfedf852cf9d08ba998f8fWORKDIR
/opt/nvidia/cudss
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91716c0d7c8d83993561c8581dfd494c82c9a86dedfcb037edce4aa0d214b953ARG
CUDA_MAJOR=12
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...

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