Major artificial intelligence (AI) data center operators have stated they have no immediate plans to adopt Google’s ...

Nvidia may move over, but it won't roll over in the face of a formidable new rival.

Google's eighth-generation TPUs split training and inference into two specialised chips. Here's how TPU 8t and TPU 8i work, what they cost Google, and how they stack up against Nvidia.

Google is packing ample amounts of static random access memory into a dedicated chip for running artificial intelligence models, following Nvidia's plans.

Google's push to expand its Tensor Processing Unit platform is drawing renewed attention across the AI chip sector, prompting debate over whether the company intends to challenge Nvidia's dominance or ...

Nvidia has asserted that its graphics processing unit (GPU) platform remains a full generation ahead of its competitors, responding to increased attention on Google's Tensor Processing Unit (TPU) in ...

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 ...

Shares of Nvidia Corp. closed 2.6% lower today following a report that Meta may buy Google LLC’s TPU artificial intelligence chips. Sources told The Information that the tensor processing unit ...

Google caused two significant disruptions in the AI chip field last month. The first one is the release of its seventh-generation tensor processing unit (TPU), codenamed Ironwood. The chip offers a ...

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 ...

Google is sniffing around Marvell for yet more silicon. Talks between Google and Marvell have started on two new chips aimed at making AI inference less of a slog. One chip is a memory processing unit ...