Most of the companies that have fully committed to building AI models are gobbling up every Nvidia AI accelerator they can get, but Google has taken a different approach. Most of its cloud AI ...

Google is packing ample amounts of static random access memory into a dedicated chip for running artificial intelligence models, following Nvidia's plans.

Google's latest TPU innovations and the transition to more advanced Gemini models suggest the company may be moving beyond catch-up mode in the fast-evolving AI landscape ...

Google parent Alphabet (GOOG, GOOGL) on Wednesday said that it plans to sell its custom Tensor Processing Units (TPUs) to select customers who will install the chips in their own data centers. The ...

If you want to be a leading in supplying AI models and AI applications, as well as AI infrastructure to run it, to the world, it is also helpful to have a business that needs a lot of AI that can ...

Summary: Google made Ironwood, its seventh-generation TPU, generally available at Cloud Next 2026 while previewing its eighth-generation architecture: TPU 8t (Sunfish), a Broadcom-designed training ...

Tachyum is requesting Google to stop using TPU as a part of a descriptor for its Google TPU and will petition the U.S. Trademark Office to defend its legal claims to the term. Trademarks are important ...

Google Cloud challenges AWS and Azure with enterprise AI agents push Kurian touts agent-first AI stack, new TPUs, and ...

Google's release of its Gemini 3 large language model (LLM) in November—trained primarily on the company's in-house TPU chips and performing at or above the level of OpenAI's ChatGPT—has become a ...

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and diverging more with each passing day: Google has just forked its Tensor Processing ...