gcrider | PyTorch from NVIDIA
Introduction of gcrider

NVIDIA pioneered a supercharged form of computing loved by the most demanding computer users in the world — scientists, designers, artists, and gamers. For them, we’ve built the equivalent of a time machine.

Fueled by the insatiable demand for better 3D graphics, and the massive scale of the gaming market, NVIDIA has evolved the GPU into a computer brain at the exciting intersection of virtual reality, high performance computing, and artificial intelligence.

PyTorch from NVIDIA
NVIDIA''s container for PyTorch bundled into the NGC base image. Immediately start running PyTorch using NVIDIA''s GPU optimized distribution Optimized for NVIDIA Volta and NVIDIA Turing GPU''s for highest performance across a wide range of AI workloads Eliminates the do-it-yourself task of optimizing a deep learning software stack tuned for GPUs.

NVDIA''s GPU-optimized distribution of PyTorch.


PyTorch is a GPU accelerated tensor computational framework with a Python front end. Functionality can be easily extended with common Python libraries such as NumPy, SciPy and Cython.

This image bundles NVIDIA''s container for PyTorch into the NGC base image for Alibaba Cloud. The NGC base image is an optimized environment for running the GPU optimized containers for Deep Learning and HPC available from the NGC (NGC) container registry. The Docker containers available on the NGC container registry are tuned, tested, and certified by NVIDIA to take full advantage of NVIDIA GPU''s.

This image allows user to immediately start using PyTorch . You can learn more about the PyTorch distribution from NVIDIA and look for newer releases of NVIDIA''s PyTorch container at http://ngc.nvidia.com
 

CLICK HERE to view the detailed user guide for more information. For more information about the product, please visit the Product Page.