{"id":16101,"date":"2026-01-27T07:29:20","date_gmt":"2026-01-27T07:29:20","guid":{"rendered":"https:\/\/microvibenews.com\/?p=16101"},"modified":"2026-01-27T07:29:20","modified_gmt":"2026-01-27T07:29:20","slug":"microsofts-latest-ai-chip-to-reduce-reliance-on-nvidia","status":"publish","type":"post","link":"https:\/\/microvibenews.com\/?p=16101","title":{"rendered":"Microsoft\u2019s latest AI chip to reduce reliance on Nvidia"},"content":{"rendered":"<p><\/p>\n<div id=\"textFreeArticle\">\n<p>Microsoft Corp is rolling out its second-generation artificial intelligence chip, the centerpiece of the company\u2019s push to power its services more efficiently and provide an alternative to Nvidia Corp hardware.<\/p>\n<p>The Maia 200 chip, which is being produced by Taiwan Semiconductor Manufacturing Co, is making its way to Microsoft data centers in Iowa, with deployments headed to the Phoenix area next. Microsoft invited developers on Monday to start using Maia\u2019s control software, but it\u2019s not clear when users of the company\u2019s Azure cloud service will be able to utilise servers running on the chip.<\/p>\n<p>Some of the first units will go to Microsoft\u2019s superintelligence team, generating data to improve the next generation of AI models, cloud and AI chief Scott Guthrie said in a blog post. The chips will also be used to power the Copilot assistant for businesses and AI models, including OpenAI\u2019s latest, that Microsoft rents to cloud customers.<\/p>\n<div class=\"visible-sm-block visible-xs-block m1010\">\n<div class=\"ad-container-wrapper\">\n<p>ADVERTISEMENT<\/p>\n<p>CONTINUE READING BELOW<\/p>\n<\/div>\n<\/div>\n<p>Microsoft\u2019s chip push started years after Amazon.com and Alphabet\u2019s Google began designing their own chips. All three have a similar aim: cost-effective machines that can be seamlessly plugged into data centers and offer savings and other efficiencies to cloud customers. The high costs and short supply of the latest industry-leading chips from Nvidia has fuelled a scramble to find alternative sources of computing power.<\/p>\n<p>Microsoft says its chip delivers better performance on some AI tasks than comparable semiconductors from Google and Amazon Web Services. \u201cMaia 200 is also the most efficient inference system Microsoft has ever deployed,\u201d Guthrie said, referring to the process of using AI models to generate responses to queries.<\/p>\n<p>The company says it\u2019s already designing the chip\u2019s successor, the Maia 300. Microsoft has other options, should its internal efforts falter: As part of a deal with close partner OpenAI, the company has access to the ChatGPT maker\u2019s nascent chip designs.<\/p>\n<div class=\"visible-sm-block visible-xs-block m1010\">\n<div class=\"ad-container-wrapper\">\n<p>ADVERTISEMENT:<\/p>\n<p>CONTINUE READING BELOW<\/p>\n<\/div>\n<\/div>\n<p>Gartner analyst Chirag Dekate said the release of Maia 200 shows Microsoft is committed to its chipmaking effort. The growing energy needs of AI data centers and the lack of new power sources in many parts of the world make efficiency-focused projects like Maia more critical, he said.<\/p>\n<p>\u201cYou don\u2019t engage in this sort of investment if you\u2019re just doing one or two stunt activities,\u201d Dekate said. \u201cThis is a multigeneration, strategic investment.\u201d<\/p>\n<p>\u00a9 2026 Bloomberg<\/p>\n<p><em>Follow Moneyweb\u2019s in-depth finance and business news on WhatsApp here.<\/em><\/p>\n<\/p><\/div>\n<p><script data-cfasync=\"false\">\n            !function(f,b,e,v,n,t,s)\n            {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                n.queue=[];t=b.createElement(e);t.async=!0;\n                t.src=v;s=b.getElementsByTagName(e)[0];\n                s.parentNode.insertBefore(t,s)}(window, document,'script',\n                'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n            fbq('init', '779812924991616');\n            fbq('track', 'PageView');\n        <\/script>#Microsofts #latest #chip #reduce #reliance #Nvidia<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft Corp is rolling out &hellip; <\/p>\n","protected":false},"author":1,"featured_media":16102,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[1087,683,3438,1056,10638,2655],"_links":{"self":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts\/16101"}],"collection":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16101"}],"version-history":[{"count":0,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts\/16101\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/media\/16102"}],"wp:attachment":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16101"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16101"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}