{"rewrite":{"id":"r_83b1959e6d3566cde76fd513","clusterId":"c_1dd2f81d590548a592d133b1","slug":"google-develops-new-ai-chip-to-improve-gemini-efficiency","model":"deepseek-v4-flash:free","headline":"Google Develops New AI Chip to Improve Gemini Efficiency","summary":"Google is developing a new proprietary server chip, internally called \"Frozen v2,\" designed to improve the operational efficiency of its Gemini AI servers. According to a report from The Information, the chip is expected to be released sometime in 2028 and could be 6 to 10 times more efficient than Google's existing AI chips when measuring tokens generated per unit of power. TechCrunch asked Google about the report, and a Google spokesperson responded that the company is always researching new innovations but noted that not every project becomes a product. The development comes as AI companies race to build custom chips to address a global shortage of AI computing capacity and rising spending concerns. OpenAI announced its own \"Jalapeño\" inference chip in June 2026, and Anthropic is reportedly in discussions with Samsung to develop a custom AI chip. Google's existing AI chip lineup includes the 8th generation TPU, with training-focused TPU 8t and inference-focused TPU 8i. The Frozen v2 chip is part of a broader trend where efficiency has become a key selling point for technology companies as market enthusiasm for AI cools.","whyItMatters":"Google's Frozen v2 chip targets a 6-to-10x efficiency gain over its current AI chips, a leap that could lower operating costs for Gemini at a time when AI spending scrutiny is intensifying across the industry.","webCardHtml":"\u003cp\u003eGoogle\u0026#39;s full-stack approach means it designs hardware and software together, a strategy the company says ensures systems are \u0026#34;highly optimized for real-world workloads.\u0026#34; The Frozen v2 chip is not the only custom silicon project among AI companies. OpenAI announced its \u0026#34;Jalapeño\u0026#34; inference chip, developed with Broadcom, at the end of June 2026. Anthropic is in discussions with Samsung to develop its own custom AI chip, a report from early July 2026 noted.\u003c/p\u003e\n\u003cp\u003eTechCrunch asked Google about the Frozen v2 report. A Google spokesperson responded: \u0026#34;Our teams are always researching and experimenting with new innovations to deliver the best performance and efficiency to our users and customers. Not every project becomes a product, but this thorough exploration is core to our full-stack approach.\u0026#34;\u003c/p\u003e\n\u003cp\u003eThe Information\u0026#39;s sources say Frozen v2 is expected to launch in 2028. Google\u0026#39;s existing AI chip lineup includes the 8th generation TPU, with the training-focused TPU 8t and the inference-focused TPU 8i. The industry-wide push for efficiency comes as market enthusiasm for AI cools and concerns over AI-related spending grow, TechCrunch noted.\u003c/p\u003e","blueskyPost":"Google is reportedly developing a new AI chip called Frozen v2, targeting 6 to 10 times the efficiency of its current chips for running Gemini, with a 2028 release window.","twitterPost":"Google's Frozen v2 chip could cut Gemini's power cost by up to 10x per token. OpenAI and Anthropic are building their own chips too. The AI hardware race is heating up.","threadsPost":null,"newsletterBlurb":"Google is developing a new AI chip called Frozen v2, expected in 2028, that could be 6 to 10 times more efficient than its current chips for running Gemini. The project is part of a broader industry trend where AI companies are building custom hardware to cut costs and address computing capacity shortages.","attributionJson":"[{\"source\":\"GIGAZINE\",\"url\":\"https://gigazine.net/news/20260721-google-new-ai-chip-designed-gemini/\",\"title\":\"Google is working on developing a new AI chip to improve Gemini's efficiency\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":11961,"outputTokens":1174,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1784693385,"createdAt":"2026-07-22T04:03:09.000Z","publishedAt":"2026-07-22T04:05:45.000Z","updatedAt":"2026-07-22T04:03:09.000Z"},"cluster":{"id":"c_1dd2f81d590548a592d133b1","canonicalTitle":"GoogleはGeminiの効率性を向上させるための新しいAIチップの開発に取り組んでいる","representativeArticleId":"a_9c83e4bd287af7b012a2b6bb","sourceCount":1,"writtenSourceCount":1,"writeAttempts":0,"isSolo":false,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[],\"studios\":[],\"people\":[],\"type\":\"news\",\"domain\":\"other\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-07-21T01:59:00.000Z","lastSeenAt":"2026-07-22T03:02:00.000Z","updatedAt":"2026-07-22T04:05:45.000Z"},"attribution":[{"source":"GIGAZINE","url":"https://gigazine.net/news/20260722-google-gemini-3-6-flash/","title":"Googleが「Gemini 3.6 Flash」「Gemini 3.5 Flash-Lite」「Gemini 3.5 Flash Cyber」を発表、Gemini 4も開発中"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":[],"studios":[],"people":[],"type":"news","domain":"other","is_roundup":false},"keyFacts":["Google is developing a new AI chip internally called Frozen v2, expected for release in 2028.","The Frozen v2 chip could be 6 to 10 times more efficient than Google's existing AI chips in tokens generated per unit of power.","OpenAI announced its own inference chip, Jalapeño, co-developed with Broadcom, in June 2026.","Anthropic is reportedly in discussions with Samsung to develop its own custom AI chip.","Google's existing AI chip lineup includes the 8th generation TPU, with training-focused TPU 8t and inference-focused TPU 8i."]}