Wire · technology
Google plans new chip to run Gemini models more efficiently, the Information reports
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Fusion42 · 20 July 2026 · Fusion42 review
Google is developing a custom server chip called 'Frozen v2' that embeds Gemini model elements directly into hardware, targeting 2028 deployment with 6-10x better efficiency than current TPUs to address internal AI capacity constraints.
This Wire brief sits within Fusion42's coverage of AI Infrastructure and Semiconductors, and 5 sources have reported it between 20 Jul 2026 and 22 Jul 2026.
◆ ◆ The Wire takeaway
If you're selling inference optimisation, cooling, power delivery, or tensor software to AI labs, Google just signalled it's building these capabilities in-house by 2028—your buyer is becoming your competitor. Start mapping what Google can't bake into silicon and sell into their supply chain before they do.
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5 sources · first reported 20 Jul 2026 · latest 22 Jul 2026
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