Skip to main content
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
PyTorch
Container
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.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=84f446f5c7204f47f7769a5a5f759c7622b828eb
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=84f446f5c7204f47f7769a5a5f759c7622b828eb
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=148941828
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=148941828
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=148941828
03/11/2025 6:48 PM UTC
sha256:0e20a253a7e229bcc843edfdc4815ea6d01ed39a89fb0b3f6719aea27a12929dRUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali cd /opt/pytorch/pytorch/third_party/gloo &&
  patch -p1 < /gloo.patch &&
  cd - &&
  rm /gloo.patch
03/11/2025 6:48 PM UTC
sha256:599490394ad34745927d419c2cfbc81c3bb42e0960923ef52ebb5154563db6efCOPY
gloo.patch /gloo.patch
03/11/2025 6:48 PM UTC
sha256:b7f3d250c8993f99fe82352ce09c21c2c7dd446b8c0e36c829cf8dbfd51b0e10COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
03/11/2025 6:48 PM UTC
sha256:a5a55b00d2d4b548c06489cc265d43d8165f9dc871229aa89fd037e7c23222cdRUN
NVIDIA_PYTORCH_VERSION=25.03 PYTORCH_BUILD_VERSION=2.7.0a0+7c8ec84 NVFUSER_BUILD_VERSION=c5e1555 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali 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
03/11/2025 6:48 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_NCCL_USE_COMM_NONBLOCKING=0
03/11/2025 6:48 PM UTC
1-10 of 161 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings