Google is building a server chip called Frozen v2 that hardwires Gemini’s architecture directly into silicon. Not weights. Architecture. The blueprint itself becomes hardware.

The payoff: 6 to 10 times the token throughput per watt compared to general-purpose TPUs.

This is a bet on a settling architecture. Once your model design is baked into silicon, you cannot change it radically without scrapping the hardware. Google is saying, ‘Gemini is stable enough that we can afford that constraint.’ That is confidence.

It is also a constraint. Frozen v2 works only if Gemini’s future stays compatible with its past. That does not mean no innovation. It means innovation has to live within the shape Google chose.

Deployment is 2028. Production volume is small. Google does not plan to sell it to customers. This is a play to optimize Google’s own inference costs at scale. But the strategy signals something clear: the era of searching for the perfect architecture is over. The time of optimizing known designs has begun.

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Sources:
https://qz.com/google-gemini-chip-frozen-tpu-efficiency-072026
https://the-decoder.com/googles-frozen-v2-chip-reportedly-bakes-geminis-architecture-directly-into-silicon-for-efficiency-gains/
https://www.techtimes.com/articles/321152/20260721/googles-frozen-v2-chip-hardwires-gemini-architecture-tenfold-inference-efficiency.htm

Repost this. Thanks.