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AI Accelerators

40 summarised stories about AI Accelerators, each linking back to the original source. Browse all topics →

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Tuesday, 21 July 2026

Google is building a chip with Gemini baked into the silicon

TNW 1 month ago 8 19 sources

Google is reportedly developing a chip called Frozen v2 that would have Gemini's neural-network architecture physically etched into the silicon rather than stored in memory, potentially achieving 6 to 10 times greater efficiency than current custom AI chips and targeting deployment as early as 2028. The project reflects Google's effort to reduce reliance on Nvidia and address internal capacity constraints, trading flexibility for speed and power efficiency. If successful, this approach could force competitors to develop similar custom silicon solutions optimized for specific models rather than general-purpose hardware.

Google Building Gemini-Native Server Chip Called Frozen

The Neuron 1 month ago 31 19 sources

Google is developing a specialized server chip called Frozen designed to run Gemini AI models natively. The chip is being built in-house to optimize performance for Google's Gemini large language models. This gives Google greater control over AI inference hardware and reduces reliance on third-party chip providers for its own AI services.

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