NVIDIA
NVIDIA
CUDA Deep Learning
Container
NVIDIA
NVIDIA
CUDA Deep Learning

CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.nccl.version=2.29.stable.20260109 com.nvidia.cublas.version=13.2.1.1 com.nvidia.cufft.version=12.1.0.78 com.nvidia.curand.version=10.4.1.81 com.nvidia.cusparse.version=12.7.3.1 com.nvidia.cusparselt.version=0.8.1.1 com.nvidia.cusolver.version=12.0.9.81 com.nvidia.npp.version=13.0.3.3 com.nvidia.nvjpeg.version=13.0.3.75 com.nvidia.cudnn.version=9.17.1.4
    01/09/2026 11:24 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    ENABLE_MITMPROXY=0 CUDA_COMPONENT_LIST=cccl crt nvrtc driver-dev culibos-dev cudart cudart-dev nvcc tileiras VERSION_LIST=CURAND_VERSION CUBLAS_VERSION CUFILE_VERSION /tmp/manage_cert.sh uninstall
    01/09/2026 11:24 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
    01/09/2026 11:24 PM UTC
    sha256:632a23efe52dc1d3a97e39e1dd5fe56fe27ae90b8c80cb057e65e74958c86e81RUN
    RUN |3 ENABLE_MITMPROXY=0 CUDA_COMPONENT_LIST=cccl crt nvrtc driver-dev culibos-dev cudart cudart-dev nvcc tileiras VERSION_LIST=CURAND_VERSION CUBLAS_VERSION CUFILE_VERSION /bin/sh -c set -exo pipefail VERSION_LIST="${VERSION_LIST}" /nvidia/build-scripts/installLIBS.sh # Hack to grab stubs from the libs stage and put them under /usr/local/cuda/lib64 without actually installing the libs HACK_LIST="cusparse cusolver cufft nvJitLink" for lib in ${HACK_LIST}; do _LIB_VERSION_ENV_VAR="${lib^^}_VERSION" _LIB_MAJOR_VERSION=$(echo "${!_LIB_VERSION_ENV_VAR}" | cut -d. -f1) if [[ -z "${_LIB_MAJOR_VERSION}" ]]; then echo "[ERROR] ${_LIB_VERSION_ENV_VAR} is not set" exit 1 fi for _stub in $(ls /tmp/stubs/*${lib}*); do cp ${_stub} /usr/local/cuda/lib64/$(basename ${_stub}).${_LIB_MAJOR_VERSION} # Create a symlink to the file with .0 extension ln -sf $(basename ${_stub}).${_LIB_MAJOR_VERSION} /usr/local/cuda/lib64/$(basename ${_stub}).0 done done ( set +x; echo "[INFO] /usr/local/cuda/lib64 after hack:"; ls -larth /usr/local/cuda/lib64/ ) /nvidia/build-scripts/installCUDNN.sh /nvidia/build-scripts/installCUSPARSELT.sh NOBUILDER=1 /nvidia/build-scripts/installTRT.sh if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh /nvidia/build-scripts/installNVSHMEM.sh # Manually create symlinks nvshmem so we don't need to use dpkg-divert
      # nvshmem default installation is under /usr/lib/x86_64-linux-gnu/nvshmem/${CUDA_VERSION_MAJOR}
      # We need to libs to be available under /usr/local/cuda/lib64
      export CUDA_VERSION_MAJOR=$(echo "${CUDA_VERSION}" | cut -d. -f1)
      find /usr/lib/*-linux-gnu/nvshmem/${CUDA_VERSION_MAJOR}/ -maxdepth 1 -type f -exec ln -sf {} /usr/local/cuda/lib64/ \;
      # For symlinks under /usr/lib/*-linux-gnu/nvshmem/${CUDA_VERSION_MAJOR}/, we want to create it under /usr/local/cuda/lib64/ and link it to the same target
      find /usr/lib/*-linux-gnu/nvshmem/${CUDA_VERSION_MAJOR}/ -maxdepth 1 -type l -exec ln -sf {} /usr/local/cuda/lib64/ \;
      # Ensure libnvshmem_host.so* files exist under /usr/local/cuda/lib64
      ls /usr/local/cuda/lib64/libnvshmem_host.so* || { echo "[ERROR] libnvshmem_host.so* not found under /usr/local/cuda/lib64"; exit 1; }
    fi
     # buildkit
    01/09/2026 11:24 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    VERSION_LIST=CURAND_VERSION CUBLAS_VERSION CUFILE_VERSION
    01/09/2026 11:23 PM UTC
    sha256:ba48df49f0472cb8ea18803aac9751d347165c46c1994a99a0266cfdcb82d9feRUN
    RUN |2 ENABLE_MITMPROXY=0 CUDA_COMPONENT_LIST=cccl crt nvrtc driver-dev culibos-dev cudart cudart-dev nvcc tileiras /bin/sh -c set -exo pipefail if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then COMPONENT_LIST="${CUDA_COMPONENT_LIST}" /nvidia/build-scripts/installCUDA.sh else # Don't use COMPONENT_LIST in iGPU environment
        /nvidia/build-scripts/installCUDA.sh
    fi
     # buildkit
    01/09/2026 11:23 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    CUDA_COMPONENT_LIST=cccl crt nvrtc driver-dev culibos-dev cudart cudart-dev nvcc tileiras
    01/09/2026 11:23 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    CUDA_COMPONENT_LIST=cccl crt nvrtc driver-dev culibos-dev cudart cudart-dev nvcc tileiras
    01/09/2026 11:23 PM UTC
    sha256:a9bbc21a5447725aca9184ed37c166b7264fc115677d23cf8bd1d3d96757a315RUN
    ENABLE_MITMPROXY=0 export DEBIAN_FRONTEND=noninteractive &&
      apt-get update &&
      apt-get install -y --no-install-recommends apt-utils build-essential libncurses6 libncursesw6 unzip jq gnupg libtcmalloc-minimal4 git libglib2.0-0 libhwloc15 libnuma-dev libnuma1 libpmi2-0-dev numactl openssh-client vim-tiny wget &&
      rm -rf /var/lib/apt/lists/*
    01/09/2026 11:23 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    ENABLE_MITMPROXY=0 /tmp/manage_cert.sh install
    01/09/2026 11:23 PM UTC