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
5e62cb50a73b5b280176e7254713a2d2329f9ab01688aae7654167acf4812a4dCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
09/04/2024 2:33 AM UTC
7b40748d528e4407f9d357e93fb3d457b49f46114806f4eb93506a2531e3b45cARG
NVIDIA_BUILD_REF=ea7eeeddfca58990ef71aaf8d37a34a16de95d29
09/04/2024 2:33 AM UTC
3d6ba0fbe93d67b23d9ebe655eb4ef132f937dddc39a797b195eba38469f53feLABEL
com.nvidia.build.id=109656992
09/04/2024 2:33 AM UTC
535b508007f0a0f51c8d88c7426ba1e9b4b3ef453e36dc2b21de2d2aa4350a87ENV
NVIDIA_BUILD_ID=109656992
09/04/2024 2:33 AM UTC
2cebf4610a8ec15516798adcf8f5696c2e8398a45319b3e6558ddf40cbb5701aARG
NVIDIA_BUILD_ID=109656992
09/04/2024 2:33 AM UTC
503f875a34d881293001f262eb4a438e1c959ecda462fc621282ae780510734eCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
09/04/2024 2:33 AM UTC
5a47661bd990862d4a9ad1d2e0147eeb5de86989d2cf51a27863a5bdc38e9b79RUN
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 ${_CUDA_COMPAT_PATH}/lib
09/04/2024 2:33 AM UTC
8a085c42dac51277e27b6ac789e4cab61fc63b08d9f1a4eb22f9ed3d9d926fefENV
CUDA_MODULE_LOADING=LAZY
09/04/2024 2:33 AM UTC
8f025bbca3f7aabb2294f015fe37f6943f4fe61e08aa8646dd92d57b076a87aaENV
TORCH_CUDNN_V8_API_ENABLED=1
09/04/2024 2:33 AM UTC
1afe5bd03a3cf5bba49ae4ce3ad1a7cb46c71b69c42a54caa2bf73b364e50044RUN
NVIDIA_PYTORCH_VERSION=24.09 PYTORCH_BUILD_VERSION=2.5.0a0+b465a58 NVFUSER_BUILD_VERSION=346e51c TARGETARCH=amd64 PYVER=3.10 L4T=0 PYVER=3.10 if [ "${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
...