Google's Frozen v2 chip embeds Gemini model architecture into silicon with targeting 6-10x more tokens per watt than current TPUs

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Google is reportedly developing 'Frozen v2,' a specialized chip that embeds specific Gemini model architectures directly into the silicon to bypass generic compute overhead. By trading general-purpose flexibility for extreme optimization, the chip aims for a massive 6-10x leap in power efficiency. It signals a shift toward vertical integration where the software and the metal are physically inseparable.