Google is developing an initiative called TorchTPU to make its Tensor Processing Units (TPUs) fully compatible with PyTorch, aiming to reduce reliance on Nvidia's software. This collaboration with Meta seeks to enhance TPU adoption among AI developers who typically use Nvidia's CUDA. Google is also considering open-sourcing parts of the software to accelerate customer uptake.

Google is teaming up with Meta to create “TorchTPU,” a software initiative designed to help developers transition from Nvidia's hardware to Google's TPUs while using the PyTorch framework. This collaboration aims to reduce reliance on Nvidia's software tools. Google is also planning to sell TPUs worth billions to Meta.