ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
PyTorch
Container
NVIDIA
NVIDIA
PyTorch

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

NVIDIA AI Enterprise Supported
LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=df5ce920d3adddfc694c4a4e440f2bd72a7c00f0
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=df5ce920d3adddfc694c4a4e440f2bd72a7c00f0
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=100464921
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=100464921
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=100464921
07/09/2024 2:46 AM UTC
sha256:4ce000a43472e4a2527834764b5044674760f1e2a766480798d03a93b51a0b39COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
07/09/2024 2:46 AM UTC
sha256:c624610155071cbbf5a02abc2c7439cf6e26e5c351cf83d3c3452f00d7788b12RUN
NVIDIA_PYTORCH_VERSION=24.07 PYTORCH_BUILD_VERSION=2.4.0a0+3bcc3cd NVFUSER_BUILD_VERSION=f73ff1b TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDA_MODULE_LOADING=LAZY
07/09/2024 2:46 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_CUDNN_V8_API_ENABLED=1
07/09/2024 2:46 AM UTC
sha256:b4b3998484dfb07aefe891b6c79efb884c2d3d6b30013dcff8c1688ac9c27cb7RUN
NVIDIA_PYTORCH_VERSION=24.07 PYTORCH_BUILD_VERSION=2.4.0a0+3bcc3cd NVFUSER_BUILD_VERSION=f73ff1b TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi
07/09/2024 2:46 AM UTC
...