A lot of people will tell you that PyTorch is for NVIDIA GPUs, but that's not actually true. PyTorch is platform-agnostic; it's just that many packages built on PyTorch make heavy use of NVIDIA's CUDA ...

Tech giant Google ($GOOGL) is working to cut into chipmaker Nvidia’s ($NVDA) lead in the AI space by improving how its own chips, called tensor ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

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.

The Data Science Lab Getting Started with PyTorch 1.5 on Windows Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...

Google is enhancing its AI chips to improve compatibility with PyTorch, aiming to challenge Nvidia's dominance in the AI computing market.

PyTorch is definitely the flavor of the moment, especially with the recent 1.3 and 1.4 releases bringing a host of performance improvements and more developer-friendly support for mobile platforms.