Google in Talks with Marvell to Develop New AI Inference Chips

April 21, 2026
Google is negotiating with Marvell Technology to design two new chips for AI inference, including a memory processing unit to complement its tensor processing units and a new TPU built for running AI models more efficiently, according to The Information.

Alphabet's Google is in talks with Marvell Technology, Inc. to design two new chips that aim to run artificial intelligence models more efficiently, according to The Information. The discussions involve developing a memory processing unit that will work alongside Google's tensor processing unit and a new TPU designed specifically for inference tasks.

The companies plan to finalize the design of the memory processing unit as early as next year before moving to test production. Google intends to produce about two million of these units, although the figure may change as talks continue. The chips are expected to divide AI workloads between compute and memory demands to improve efficiency.

Google has previously purchased data center chips from Marvell but is now pursuing exclusive semiconductor designs for its own infrastructure. The move reflects Google's effort to diversify its chip design partnerships beyond Broadcom Inc., which has been its primary TPU design partner. Broadcom recently signed a new agreement with Google to continue supplying custom TPUs and networking components through 2031.

Google currently manufactures its chips through Taiwan Semiconductor Manufacturing Co., though it is not yet clear whether the new chips will also be produced there. The collaboration with Marvell would add to Google's expanding custom chip strategy as demand for efficient inference hardware continues to grow.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more