CUDA Deep Learning | NVIDIA NGC

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CUDA Deep Learning

Container

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.

NVIDIA AI Enterprise Supported

Layer	Label		Created
sha256:2ec0da87f89925c733ec41d0b6bad618fe6c53fd69a376c9f1c547745d1b9dcd	RUN	`if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf && ldconfig; fi`	03/10/2025 9:06 PM UTC
sha256:cebf0db1b38e957499ed4b13285c3aaaffcf13827ce869dbfd96e20bb67de906	COPY	`/opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl`	03/10/2025 9:06 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`LIBRARY_PATH=/usr/local/cuda/lib64/stubs:`	03/10/2025 9:06 PM UTC
sha256:585d60eab6d4b3aeb1e27c1c6fdfaf53b109337b5179b301cff5f54791bb3a8d	RUN	export DEVEL=1 BASE=0 && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUDA.sh && /nvidia/build-scripts/installLIBS.sh && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && /nvidia/build-scripts/installCUSPARSELT.sh && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi && rm -f /tmp/cuda-*.patch	03/10/2025 9:06 PM UTC
sha256:149402a5adbf12d766ecde4242463fdb80087a0b463f4e101fee5beb27c9df29	COPY	`cuda-*.patch /tmp`	03/10/2025 9:03 PM UTC
sha256:0f22deed6c96ba37d9e3e5ad1cb0a74904a052bf47d19d741a4306bb909e2b86	RUN	`export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y --no-install-recommends build-essential git libglib2.0-0 less libhwloc15 libnl-route-3-200 libnl-3-dev libnl-route-3-dev libnuma-dev libnuma1 libpmi2-0-dev nano numactl openssh-client vim wget && rm -rf /var/lib/apt/lists/*`	03/10/2025 9:03 PM UTC
sha256:bbbf37c364f1c9ea42ea659c1b708e3ee5346df88b96f2b3aaaedda7b0fbf487	RUN	JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 CUDA_VERSION=12.8.1.012 CUDA_DRIVER_VERSION=570.124.06 NCCL_VERSION=2.25.1 CUBLAS_VERSION=12.8.4.1 CUFFT_VERSION=11.3.3.83 CURAND_VERSION=10.3.9.90 CUSPARSE_VERSION=12.5.8.93 CUSOLVER_VERSION=11.7.3.90 NPP_VERSION=12.3.3.100 NVJPEG_VERSION=12.3.5.92 CUFILE_VERSION=1.13.1.3 NVJITLINK_VERSION=12.8.93 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.8.0.87 CUDNN_FRONTEND_VERSION=1.10.0 TRT_VERSION=10.9.0.34 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.1.1.110 NSIGHT_COMPUTE_VERSION=2025.1.1.2 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.47.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.18 TRANSFORMER_ENGINE_VERSION=2.1 MODEL_OPT_VERSION=0.25.0 _LIBPATH_SUFFIX= mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt	03/10/2025 8:54 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENTRYPOINT	`/opt/nvidia/nvidia_entrypoint.sh`	03/10/2025 8:54 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4	ENV	`NVIDIA_PRODUCT_NAME=CUDA`	03/10/2025 8:54 PM UTC
sha256:4cd3c482eefe57d8a05f7a7521ca3310788e216206103b0978ccc212b62da6e9	COPY	`entrypoint/ /opt/nvidia/`	03/10/2025 8:54 PM UTC