Google in Talks with Marvell to Develop New AI Chips for Inference

Alphabet’s Google is reportedly in discussions with Marvell Technology to jointly develop new artificial intelligence (AI) chips aimed at improving inference capabilities. The proposed collaboration includes two chip designs—one being a memory-focused processor intended to complement Google’s existing Tensor Processing Units (TPUs), and the other a next-generation TPU optimized for running AI models more efficiently.

This move reflects Google’s broader strategy to strengthen its position in the AI hardware space and reduce reliance on third-party chipmakers like Nvidia, particularly in cloud computing where demand for AI processing continues to rise. The company has been actively investing in custom silicon to enhance performance and cost efficiency across its AI-driven services.

As per the report, Google is targeting completion of the memory chip design by next year, after which it is expected to enter a test production phase. However, both Google and Marvell have not officially commented on the development, and the details have not yet been independently verified.

The potential partnership highlights the growing industry focus on inference computing—where AI models are deployed to generate real-time outputs—as competition intensifies among major tech firms to build specialized chips tailored for this rapidly expanding segment.
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