Google is deepening its push into AI chips, working with Meta to reduce reliance on Nvidia by improving PyTorch support and ...

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

In a significant strategic shift, Alphabet Inc. announced a major partnership and new product launches on Thursday, December ...

Google is partnering with Meta to make its own AI chips easier to use, aiming to reduce reliance on Nvidia as competition in the AI chip market intensifies.

To accelerate adoption and strengthen this effort, Google is collaborating closely with Meta, the main backer of PyTorch.

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

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

Nvidia settled a case that started when a former hire walked into the company with autonomous-driving trade secrets he had ...

Google is developing PyTorch-friendly TPU chips to cut Nvidia’s AI dominance and boost cloud growth as demand for AI surges.

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

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

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...