Google Gemini 2 AI model (just released) were trained with over 100,000 Trillium chips have been deployed in a single network fabric, enabling massive-scale AI operations. xAI has already trained Grok ...

Much of Google's AI software doesn't run on industry-standard Nvidia chips, but instead on its own tensor processing units.

The Google Tensor G5 has been announced, and the company claims that it brings the biggest leap in performance yet, as far as Tensor chips are concerned. This is the first TSMC-made Tensor chip with a ...

Google (NASDAQ:GOOG) (NASDAQ:GOOGL) is turning to Taiwan-based MediaTek to help it develop and produce the next generation of its tensor processing unit processors, designed for artificial ...

Google today introduced its seventh-generation Tensor Processing Unit, “Ironwood,” which the company said is it most performant and scalable custom AI accelerator and the first designed specifically ...

Google Project Suncatcher is a new research moonshot to one day scale machine learning in space. Working backward from this potential future, they are exploring how an interconnected network of ...

At the Google Cloud Next '25 conference, the company introduced the seventh-generation Tensor Processing Unit (TPU), Ironwood, designed for AI inference. This chip highlights Google's progress toward ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Artificial intelligence infrastructure has emerged as the critical battleground for cloud computing dominance. At this year’s Google Cloud Next conference, the company demonstrated its intensified ...