Google is reportedly building a Gemini chip that could be 10x more efficient
atShruti · x · 2026-07-21
A report says Google is working on a new in-house chip, informally called “Frozen v2,” to serve Gemini more efficiently.
Key points from the report:
- Google employees believe it could be 6–10× more efficient than the newest TPU generation in tokens served per unit of power.
- The project is meant to ease Google’s AI compute crunch and reduce dependence on scarce power.
- Google is still deciding the chip’s final design, with deployment targeted for as early as 2028.
- The story also says OpenAI, Taalas, and Etched are moving toward model-specific chips as labs chase better cost/performance per watt.
The broader trade-off: less flexibility to change the model, but much lower inference cost.
Related event: Google Reportedly Developing Gemini-Specific Chip Frozen v2(10 posts)→
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