Google's 'Frozen v2' Chip Could Slash Gemini AI Costs by 2028
Google is reportedly developing 'Frozen v2,' a custom AI chip 6-10x more efficient than TPUs, aimed at boosting Gemini model performance and reducing inference costs, expected by 2028.
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Google is reportedly developing 'Frozen v2,' a custom AI chip 6-10x more efficient than TPUs, aimed at boosting Gemini model performance and reducing inference costs, expected by 2028.
Microsoft launched the Maia 200 AI accelerator chip, improving inference efficiency by 30%, reducing costs and energy usage ahead of its Q2 earnings report, positioning the company for stronger profi…