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’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...

(L to R) Jensen Huang, President and CEO of Nvidia Corporation, Google CEO Sundar Pichai, and Mark Zuckerberg (R), CEO of Meta, arrive for a US Senate bipartisan Artificial Intelligence (AI) Insight ...

Will Google’s TPU (Tensor Processing Unit) emerge as a rival to NVIDIA’s GPU (Graphics Processing Unit)? Last month, Google announced its new AI model ‘Gemini 3,’ stating, “We used our self-developed ...

Nvidia’s position as the dominant supplier of AI chips may be under threat from a specialised chip pioneered by Google, with reports suggesting companies like Meta and Anthropic are looking to spend ...

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 ...

After last week's announcement of a deal that will see Anthropic use Google's tensor processing units, Goldman Sachs analyst Eric Sheridan asked management to elaborate further on Google's custom-chip ...

Alphabet stock jumped around 4% in premarket trading Tuesday while Nvidia slipped 3% following reports that Meta may tap Google’s AI hardware. The social media giant is exploring a multiyear purchase ...

WSJ Heard on the Street Writer Asa Fitch explains how Nvidia’s recent earnings report may have helped allay concerns about a bubble in AI and tech stocks – at least, for now. Photo: Kent ...