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 ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

The Tensor G2's AI acceleration enables features like processing photos and translating languages. With it, converting speech to text is 70% faster. Stephen Shankland worked at CNET from 1998 to 2024 ...

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 ...