Google's planned TPU production volume will rival Nvidia's total accelerator shipments, signaling a structural shift in AI hardware competition toward deployment volume rather than chip performance alone
Too little corroboration in the last 3 days to call a trend (3 articles). Watching for it to gain traction.
"Marvell said it would develop AI inference accelerators, storage, networking and memory interface controllers and near-memory computing technologies for Google. In April, Broadcom signed a long-term agreement with Google to develop and supply future generations of custom AI chips and other components for the company's next-generation AI racks through 2031."
"In the second quarter, Google began recognizing revenue from TPU system sales, contributing to the cloud unit's 82% growth. AMD, meanwhile, reported more than 100% growth in its data center business, and the company expects its first rack-scale system, called Helios, to ship later this year."
"Google plans to deploy between 12 million and 15 million ninth-generation TPUs by 2028. If those numbers hold, Google's output would be in the same range as Nvidia's projected shipments...the scale of Google's plans signals confidence in its approach and suggests that competition in AI hardware is increasingly about deployment volume, not just chip performance."