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[ARTICLE · art-65900] src=the-decoder.com ↗ pub= topic=ai-chips verified=true sentiment=↑ positive

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

Google is developing a server chip called 'Frozen v2' that integrates the Gemini AI architecture directly into silicon, aiming for 6 to 10 times greater efficiency than current TPUs. Scheduled for 2028, the chip could significantly reduce Google's AI inference costs and provide a competitive pricing advantage over rivals OpenAI and Anthropic.

read1 min views1 publishedJul 20, 2026

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.

The article Google's "Frozen v2" chip reportedly bakes Gemini's architecture directly into silicon for efficiency gains appeared first on The Decoder.

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