A custom-built chip for machine learning from Google. Introduced in 2016 and found only in Google datacenters, the Tensor Processing Unit (TPU) is optimized for matrix multiplications, which are ...

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 ...

We have repurposed Google tensor processing units (TPUs), application-specific chips developed for machine learning, into large-scale dense linear algebra supercomputers. The TPUs’ fast intercore ...

Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...

Rick Osterloh casually dropped his laptop onto the couch and leaned back, satisfied. It’s not a mic, but the effect is about the same. Google’s chief of hardware had just shown me a demo of the ...

At Google I/O, the company shared their next generation AI processing chip, the Tensor Processing Unit (TPU) v4. Machine learning has become critically important in recent years, powering critical ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...

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 ...

The latest Google Tensor G2 chip, powering the Pixel 7 and Pixel 7 Pro, is said to be 60% faster and more power efficient than last year’s Pixels. One of the aspects of the original Tensor chip that ...