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.

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 ...

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 ...

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 ...

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's release of its Gemini 3 LLM in November—trained primarily on the company's in-house TPU chips— is performing at or above the level of OpenAI's ChatGPT. This development has become a catalyst ...

Apple unveiled its first stab at adding AI features to its iPhone and Mac platforms back at WWDC in June, which it is calling Apple Intelligence. The company has now revealed in a technical paper that ...