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Alphabet Is Planning a New AI Chip. Here's Why It Matters Ahead of Earnings
- 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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Frozen v2 could generate between six and ten times more tokens with the same energy, although the chip is still in development and would not arrive before 2028
·Madrid, Spain
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Why Google's New AI Chip Is the Key to Unlocking Its Massive $462 Billion Backlog
Google Cloud is sitting on a backlog so enormous it had to turn away some of the biggest names in tech, and the company's answer to breaking that logjam starts not with more data centers but with a radical rethinking of silicon itself.
·Lakewood, United States
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Coverage Details
Total News Sources57
Leaning Left4Leaning Right6Center13Last UpdatedBias Distribution57% Center
Bias Distribution
- 57% of the sources are Center
57% Center
L 17%
C 57%
R 26%
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