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=ea7eeeddfca58990ef71aaf8d37a34a16de95d29
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=ea7eeeddfca58990ef71aaf8d37a34a16de95d29
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=109656992
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=109656992
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=109656992
09/04/2024 2:33 AM UTC
sha256:29eded214a263e932d6c6402837ae23a3a48a7892c7d7941cd962dce945171ffCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
09/04/2024 2:33 AM UTC
sha256:fc3d05c4bdeb2b03a2d9489c7ead70b00c3d8654619c6f8ac30e715156097e55RUN
NVIDIA_PYTORCH_VERSION=24.09 PYTORCH_BUILD_VERSION=2.5.0a0+b465a58 NVFUSER_BUILD_VERSION=346e51c TARGETARCH=amd64 PYVER=3.10 L4T=0 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 ${_CUDA_COMPAT_PATH}/lib
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDA_MODULE_LOADING=LAZY
09/04/2024 2:33 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_CUDNN_V8_API_ENABLED=1
09/04/2024 2:33 AM UTC
sha256:8c20c460ec567b992cee8414c6a23769a1ce7d58c8fa2662e7f77ce0a9e85d02RUN
NVIDIA_PYTORCH_VERSION=24.09 PYTORCH_BUILD_VERSION=2.5.0a0+b465a58 NVFUSER_BUILD_VERSION=346e51c TARGETARCH=amd64 PYVER=3.10 L4T=0 PYVER=3.10 if [ "${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
09/04/2024 2:33 AM UTC
...