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Google Plans New Chip to Run Gemini Models More Efficiently, the Information Reports

  • On Monday, Alphabet is developing a new server chip internally dubbed 'Frozen v2,' designed to embed Gemini model architecture directly into hardware to improve computational efficiency, The Information reported.
  • Internal compute capacity shortages fueled tensions and forced Google Cloud to decline deals with outside customers, prompting the development of this specialized hardware solution.
  • Engineers project the chip could serve six to 10 times more tokens per unit of power than current TPUs, with deployment targeted as early as 2028.
  • Alphabet shares climbed 3% on Monday following the report, adding a combined $15 billion to the net worths of cofounders Larry Page and Sergey Brin.
  • While the company views this as a trial run rather than a replacement for general-purpose TPUs, the move reflects a broader industry shift toward fusing AI models with specialized silicon.
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Google is working on a new artificial intelligence chip, which focuses on significantly increasing efficiency when running Gemini series models.

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It has been revealed that Google is developing custom semiconductors optimized for its artificial intelligence (AI) model, 'Gemini'. On the 20th (local time), The Information, a U.S. IT specialized media outlet, reported, citing multiple sources, that Google is developing an AI chip codenamed 'Frozen v2' with the goal of deploying it in servers by 2028. Frozen v2 is a Tensor Processing Unit (TPU) developed and released by Google

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IT-Online broke the news on Monday, July 20, 2026.
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