{"id":241230,"date":"2026-07-20T16:04:01","date_gmt":"2026-07-20T21:04:01","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/07\/gemini-architecture-written-directly-into-silicon-technical-details-of-googles-new-ai-inference-chip-frozen-v2-revealed-processing-per-unit-of-power-consumption-increased"},"modified":"2026-07-20T16:04:01","modified_gmt":"2026-07-20T21:04:01","slug":"gemini-architecture-written-directly-into-silicon-technical-details-of-googles-new-ai-inference-chip-frozen-v2-revealed-processing-per-unit-of-power-consumption-increased","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/07\/gemini-architecture-written-directly-into-silicon-technical-details-of-googles-new-ai-inference-chip-frozen-v2-revealed-processing-per-unit-of-power-consumption-increased","title":{"rendered":"Gemini Architecture Written Directly Into Silicon: Technical Details of Google\u2019s New AI Inference Chip \u201cFrozen v2\u201d Revealed, Processing per Unit of Power Consumption Increased by up to 10 Times"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/gemini-architecture-written-directly-into-silicon-technical-details-of-googles-new-ai-inference-chip-frozen-v2-revealed-processing-per-unit-of-power-consumption-increased.jpg\"><\/a><\/p>\n<p>TradingKey \u2014 According to a report from The Information citing two people familiar with the matter, Google (GOOGL) is developing a new server chip capable of directly embedding the underlying architecture of the Gemini large model into the chip hardware to significantly enhance the operational efficiency of AI services for users. Internally codenamed \u201cFrozen v2,\u201d this AI inference chip directly addresses Google\u2019s current severe shortage of AI computing power. Sources revealed that the computing capacity gap has triggered internal resource conflicts and even forced Google Cloud to reject numerous orders from external customers. The research and development team estimates that once the chip is officially deployed, the number of tokens processed per unit of power consumption will be 6 to 10 times that of the latest generation of Google\u2019s existing self-developed AI chips.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TradingKey \u2014 According to a report from The Information citing two people familiar with the matter, Google (GOOGL) is developing a new server chip capable of directly embedding the underlying architecture of the Gemini large model into the chip hardware to significantly enhance the operational efficiency of AI services for users. Internally codenamed \u201cFrozen v2,\u201d [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-241230","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/709"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=241230"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241230\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=241230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=241230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=241230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}