Pytorch
About
Production Ready
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe.
Distributed Training
Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend.
Robust Ecosystem
A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.
Cloud Support
PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling.
Specification
Specification
Package
Pytorch
You May Also Like
Related products
-
Omniverse Audio2Face
SKU: N/ANVIDIA’s Audio2Face is an Omniverse application that uses a combination of AI technologies to generate facial animation and dialogue lip-sync from an audio source input. The application provides an array of pre- and post-process parameters to fine-tune the animation performance before exporting the result as a geometry cache. Audio2Face requires Windows 64-bit 1909 or above.More Information -
CUDA
SKU: N/ACUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. This post is a super simple introduction to CUDA, the popular parallel computing ...More Information -
THEANO
SKU: N/ATheano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C implementations for problems involving large amounts of data. It can also surpass C on a CPU by many orders of magnitude by taking ...More Information
Our Customers
Previous
Next