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Google Plans New ‘Frozen’ Chip to Run Its AI Models Much More Efficiently

Google is moving to develop custom 'Frozen' chips aimed at increasing the efficiency of its AI models, impacting investor sentiment.

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The brief

Google is developing a new server chip designed to enhance the performance of its AI models, including Gemini. The project, currently referred to as 'Frozen,' aims to increase operational efficiency.

Coverage from Reuters, The Information, Investing.com, Seeking Alpha, and Crypto Briefing highlights the project as part of a broader shift toward model-baked silicon. Shares of Alphabet saw gains following the reports regarding these hardware initiatives.

Reports indicate a target deployment date for the Frozen V2 chips by 2028. Future updates may focus on technical specifications and integration milestones as the hardware moves through development.

Synthesized by PULSE from the headlines below under a strict no-invention contract. ✓ fact-checked: all claims supported by sources Updated 14h ago.

Quick answers

What is the name of the new chip project?

The project is known as 'Frozen.'

When are the chips expected to be deployed?

Coverage states that Google plans to deploy Frozen V2 chips by 2028.

Which AI models will use this new hardware?

Reports indicate the chips are intended for Google's AI models, specifically referencing Gemini.

Coverage (11)

Topics

Google Alphabet Gemini Frozen AI hardware

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