Google is working on a new AI chip designed to make Gemini more efficient
Google is reportedly developing a new server chip, codenamed 'Frozen v2,' to improve the efficiency of its Gemini AI models by 2028. This move is part of a broader industry trend where tech giants are designing custom hardware to reduce reliance on Nvidia and manage rising AI infrastructure costs.
Why it matters
Custom silicon development is becoming a critical competitive advantage for AI companies aiming to optimize performance and lower operational expenses.
Alphabet, Google’s parent company, is designing a new server chip to help its in-house Gemini models operate more efficiently.
The new chip, internally dubbed “Frozen v2,” is slated to be released sometime in 2028, The Information reported , citing anonymous sources. According to the report, the chip could be between six and 10 times more efficient than Google’s existing AI chips, measured by the number of tokens generated per unit of power.
In a response to TechCrunch, the company didn’t directly confirm the report. It didn’t deny it either.
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