Exclusive: Google works to erode Nvidia's software advantage with Meta's help

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

Google’s Torch TPU Project Aims to Loosen Nvidia’s Hold on AI Hardware

Google teams up with Meta to boost PyTorch support for TPUs, offering developers an alternative to Nvidia-powered AI ...

Alphabet Inc. (GOOGL) and Meta Working Together To Challenge Nvidia’s Market Dominance: Report

Alphabet Inc. (NASDAQ:GOOGL) is among the 14 Best S&P 500 Stocks to Buy Now. According to a Reuters report on Wednesday, ...
Investing.com India

Google teams with Meta’s PyTorch to chip away at Nvidia’s moat, Reuters says

The CUDA Moat: Wall Street analysts often cite Nvidia’s CUDA software as its primary competitive advantage. By natively ...

Google and Meta Work Together to Challenge Nvidia in AI Computing: Report

Google develops TorchTPU to make PyTorch run more smoothly on TPUs, aiming to challenge Nvidia, broaden cloud AI workloads, ...
Cryptopolitan on MSN

Google and Meta reportedly join forces to challenge Nvidia’s AI chip supremacy

Google and Meta have reportedly joined hands to challenge Nvidia in the AI race through software and hardware development.
Fireship on MSN

What makes JAX different from PyTorch and TensorFlow in 100 seconds

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...
VentureBeat

PyTorch 2.0 brings new fire to open-source machine learning

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 ...