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 unveiled a new chip, Trillium, for training and running foundation large language models such as Gemma and Gemini at its annual I/O conference on Tuesday. Trillium is the sixth iteration 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 ...