Alphabet Inc.'s Google is reportedly advancing its AI hardware push by working with Marvell Technology on two new chips designed to improve efficiency and challenge Nvidia Corp's lead. Custom Chips To Boost AI Performance Google is in discussions with Marvell to develop a memory processing unit designed to work alongside its Tensor Processing Unit and a new TPU specifically optimized for running AI models,

The company says its partnership with local organizations will advance energy affordability and water replenishment in the LaGrange community as Google bolsters its data center presence in Georgia.

Googler Steve Yegge said he had heard AI use within the the company varies widely, sparking a firestorm of public pushback.

Google also launched Workspace Intelligence at its Cloud Next event, promising a new work graph that underpins AI agents within Workspace apps.

Originally trained for internal workloads, Google's custom microchip has been available to cloud customers since 2018. Meta, Anthropic and Apple all now use TPUs, as Google increasingly encroaches on a market cornered by Nvidia's graphics processing units.

Pixel users have been reporting faster battery drain since the March Feature Drop. A possible cause has emerged, and Google appears to be taking it seriously.

Google has announced new Tensor processors for its data centers, claiming they help reduce energy usage significantly.

CNBC’s MacKenzie Sigalos reports on Google’s new TPU rollout and broader enterprise AI push as the company tries to turn its early lead in custom silicon into an edge against rivals like Amazon, Microsoft,