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
    03/03/2026 5:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    INSTALL_PATH=/opt/nvidia/holoscan
    03/03/2026 5:11 AM UTC
    sha256:16f04147203140a215d31d52e2446d6a4b0f25eabf140944759a3e5c920beec4COPY
    /opt/sources /opt/sources
    03/03/2026 5:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    SOURCES_PATH=/opt/sources
    03/03/2026 5:04 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PATH=/opt/tensorrt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/opt/nvidia/holoscan/bin:/opt/nvidia/hololink/bin
    03/03/2026 5:04 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PYTHONPATH=/opt/nvidia/holoscan/python/lib:/opt/nvidia/hololink/python
    03/03/2026 5:04 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    CMAKE_PREFIX_PATH=:/opt/nvidia/holoscan:/opt/nvidia/hololink
    03/03/2026 5:04 AM UTC
    sha256:437c3a3f686738fb32c8da560a5be90d0f6ee723ff26586163bbf8e53fa4d0fcCOPY
    public/install-hololink /opt/nvidia/hololink
    03/03/2026 5:04 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    HOLOLINK_INSTALL_PATH=/opt/nvidia/hololink
    03/03/2026 5:04 AM UTC
    sha256:f5a0954609d720dc1e05e3e11d0af6ca36379e9a4f519ecf1d71dfee814de70cRUN
    ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=arm64 GPU_TYPE=dgpu CUDA_MAJOR=13 SOURCES_PATH=/opt/sources DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 #= strict= compat= to= match= pytorch= versions= (ncclCommWindowRegister)= CCCL_VERSION=3.0.1 SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data ONNX_RUNTIME_VERSION=1.22.1 INSTALL_PATH=/opt/nvidia/holoscan HOST_INSTALL_DIR=install-cu13-aarch64-dgpu HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk HOLOSCAN_SDK_VERSION=4.0.0 NVCOMP_VERSION=5.0.0.6 if [ "${GPU_TYPE}" = "dgpu" ]; then CUDA_MAJOR=$(echo ${CUDA_VERSION} | cut -d. -f1) &&
      apt-get update &&
      apt-get install -y libnvcomp5-cuda-${CUDA_MAJOR}=${NVCOMP_VERSION}-1 libnvcomp5-dev-cuda-${CUDA_MAJOR}=${NVCOMP_VERSION}-1 libnvcomp5-static-cuda-${CUDA_MAJOR}=${NVCOMP_VERSION}-1 nvcomp-cuda-${CUDA_MAJOR}=${NVCOMP_VERSION}-1 &&
      apt-mark hold libnvcomp5-cuda-${CUDA_MAJOR} libnvcomp5-dev-cuda-${CUDA_MAJOR} libnvcomp5-static-cuda-${CUDA_MAJOR} nvcomp-cuda-${CUDA_MAJOR}; if ! ldconfig -p | grep -q "nvcomp"; then dpkg -L libnvcomp5-cuda-${CUDA_MAJOR} | grep libnvcomp.so | head -n1 | xargs dirname > /etc/ld.so.conf.d/nvcomp.conf &&
      ldconfig &&
      ldconfig -p | grep -q "nvcomp"; fi ; fi
    03/03/2026 5:04 AM UTC
    ...