Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

PyTorch, the Python framework for quick-and-easy creation of deep learning models, is now out in version 1.5.. PyTorch 1.5 brings a major update to PyTorch’s C++ front end, the C++ interface to ...

Using these combined optimizations on PyTorch nightly builds, the IBM researchers were able to achieve inference speeds of 29 milliseconds per token on a 100 GPU system for a large language model ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

As of the time of this article’s publication, there are roughly 57 hours (2.3 days) left in the pre-training run, with more than 75% of the process completed.

IBM Research and PyTorch are partnering to enable foundation models with billions of parameters to easily run on standard cloud networking infrastructure, such as Ethernet networking. Researchers at ...

In this video from the Swiss HPC Conference, DK Panda from Ohio State University presents: Scalable and Distributed DNN Training on Modern HPC Systems. The current wave of advances in Deep Learning ...

Using an all-reduce-type GPU communication, updates are synchronized across the entire supercomputer. General main memory is used to handle cache and any parameters that sit out of memory. “Compared ...