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 Deep Learning Examples
GPUNet for PyTorch
Resource
NVIDIA Deep Learning Examples
GPUNet for PyTorch

GPUNet is a new family of Convolutional Neural Networks crafted by NVIDIA AI.

The following section lists the requirements you need to meet to start training the GPUNet.

Requirements

This repository contains a Dockerfile that extends the PyTorch NGC container and encapsulates all dependencies. You also need the following components to get started:

For more information about how to get started with NGC containers, refer tothe following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning DGX Documentation:

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