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.

  • A collection of easy to use, highly optimized Deep Learning Models for Recommender Systems. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
        NVIDIA
        DGX Spark
        DGX Spark is an enterprise-grade software solution for deploying critical, production applications that run on the NVIDIA DGX Spark and NVIDIA GB10 Grace Blackwell Superchip-based partner systems.
          Collections are use-case based curated content available in one easy-to-use package for for various applications including speech, intelligent video analytics, recommendations, and more.
              A collection of easy to use, highly optimized Deep Learning Models for Image Classification. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                A collection of easy to use, highly optimized Deep Learning Models for Image Segmentation. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                    A collection of easy to use, highly optimized Deep Learning Models for Language Modelling. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                        A collection of easy to use, highly optimized Deep Learning Models for Machine Translation. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                            This collection contains performance-optimized Deep Learning frameworks.
                                This is a collection of performance-optimized frameworks, SDKs, and models to build Computer Vision and Speech AI applications.
                                    A collection of easy to use, highly optimized Deep Learning Models for Object Detection. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                                        A collection of easy to use, highly optimized Deep Learning Models for Recommender Systems. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
                                            A collection of easy to use, highly optimized Deep Learning Models for Speech Synthesis. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models