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Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains

Google is developing "Frozen v2," a server chip that bakes the Gemini architecture directly into hardware. According to internal sources, it could be 6 to 10 times more efficient than current TPUs. Scheduled for 2028, the chip would drastically cut Google's AI inference costs and could give the company a price advantage over OpenAI and Anthropic.

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Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains

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lunedì 20 luglio 2026·thenextweb.com
Google Frozen chip: Gemini baked into the silicon
A report says the Google Frozen chip would hardwire Gemini into silicon for up to 10x efficiency by 2028. What it means for AI.
lunedì 20 luglio 2026·theinformation.com
Google Plans New ‘Frozen’ Chip to Run Its AI Models Much More Efficiently
Google is working on a new server chip that would directly integrate the blueprint of its Gemini AI model, enabling the company to serve its AI models to users much more…

Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains

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Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains

Timeline cronologica

Google Frozen chip: Gemini baked into the silicon

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