{"id":112190,"date":"2026-07-20T16:57:10","date_gmt":"2026-07-20T16:57:10","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/112190\/"},"modified":"2026-07-20T16:57:10","modified_gmt":"2026-07-20T16:57:10","slug":"how-googles-new-plan-to-run-gemini-more-efficiently-may-shock-nvidia","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/112190\/","title":{"rendered":"How Google\u2019s new plan to run Gemini more efficiently may \u2018shock\u2019 Nvidia"},"content":{"rendered":"<p> <img src=\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/07\/google-chips-and-nvidia-chips.jpg\" alt=\"How Google\u2019s new plan to run Gemini more efficiently may \u2018shock\u2019 Nvidia\" title=\"AI generated image for representational purpose\" decoding=\"async\" fetchpriority=\"high\"\/>AI generated image for representational purpose <a href=\"https:\/\/gadgetsnow.indiatimes.com\/brands\/Google\" styleobj=\"[object Object]\" class=\"\" commonstate=\"[object Object]\" target=\"\" frmappuse=\"1\" rel=\"nofollow noopener\">Google<\/a> is reportedly working on a new AI chip, internally called \u201cFrozen v2.\u201d According to a report by The Information (via CNBC), the chip is designed to run its Gemini models far more efficiently. The move comes as the Search giant grapples with a serious internal shortage of AI computing power for which it reportedly announced a deal with Elon Musk\u2019s SpaceX.<\/p>\n<p>What is \u2018Frozen v2\u2019<\/p>\n<p>The report says that unlike Google\u2019s existing Tensor Processing Units (TPUs), which are built to handle a wide range of AI workloads, Frozen v2 takes a more specialised approach. The chip would permanently embed parts of Gemini\u2019s architecture directly into the silicon itself, cutting down the number of calculations and the amount of data movement needed to answer a query. Google engineers reportedly believe this could let the chip serve six to ten times more tokens per unit of power compared to the company&#8217;s latest TPUs \u2013 essentially mitigating the high cost of processing. Notably, Frozen v2 will not replace TPUs and will become a more specialised branch within Google&#8217;s custom-chip lineup. The company is reportedly targeting 2028 for its deployment, and for now, sees the project partly as a trial run rather than something to be produced at TPU-scale.<\/p>\n<p>Why Google needs new chip and what it said<\/p>\n<p>The project comes at a time when Google (and other companies) is dealing with a major compute crunch internally. Last month, Google reportedly agreed to pay SpaceX close to $1 billion a month to help ease this shortage and meet its enterprise compute commitments.Responding to the report, Alphabet told CNBC that its teams are \u201cconstantly researching and experimenting with new innovations to deliver maximum performance and efficiency\u201d for users and customers, adding that not every project makes it to production but that this kind of exploration is central to its \u201cfull stack approach.\u201d The company also said that designing hardware and software together helps keep its systems \u201cintegrated and highly optimised for real-world workloads.\u201dBeyond the chip shortage, Google&#8217;s AI ambitions face more immediate pressure too. The next release of Gemini Pro has been delayed, reports said, and the company has lost several senior AI researchers to rival firms like Anthropic and OpenAI. That competitive pressure intensified over the weekend, with new AI model releases from Moonshot AI and Alibaba narrowing the capability gap with US labs.<\/p>\n","protected":false},"excerpt":{"rendered":"AI generated image for representational purpose Google is reportedly working on a new AI chip, internally called \u201cFrozen&hellip;\n","protected":false},"author":2,"featured_media":112191,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[56859,57585,2408,47242,132,57587,39246,1430,57586,10196],"class_list":["post-112190","post","type-post","status-publish","format-standard","has-post-thumbnail","category-google","tag-ai-computing-power-shortage","tag-frozen-v2","tag-gemini","tag-gemini-models","tag-google","tag-google-ai-ambitions","tag-google-ai-chip","tag-google-gemini","tag-specialised-ai-chips","tag-tpus"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/112190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=112190"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/112190\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/112191"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=112190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=112190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=112190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}