{"id":4734,"date":"2026-07-31T07:52:48","date_gmt":"2026-07-31T07:52:48","guid":{"rendered":"https:\/\/silvybrand.com\/?p=4734"},"modified":"2026-07-31T07:52:48","modified_gmt":"2026-07-31T07:52:48","slug":"how-linkedin-is-keeping-its-compute-capacity-flat","status":"publish","type":"post","link":"https:\/\/silvybrand.com\/?p=4734","title":{"rendered":"LinkedIn Won\u2019t Be Expanding Its Data Centers in the Next Year"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p><span class=\"lead-in-text-callout\">Unlike many other<\/span> big tech platforms, LinkedIn has decided it won\u2019t spend aggressively on expanding its AI <a href=\"https:\/\/www.wired.com\/story\/new-gas-powered-data-centers-could-emit-more-greenhouse-gases-than-entire-nations\/\" class=\"text link\">data centers<\/a> this fiscal year. Executives at the professional social network tell WIRED that it plans to keep its investment in GPUs steady, and its compute and storage footprint is also remaining flat.<\/p>\n<p class=\"paywall\">The spending calculations apply to LinkedIn\u2019s fiscal year that began last month and ends next June. The company says it was able to avoid spending big on AI hardware because it found ways to use its existing GPUs twice as efficiently over the past six months. LinkedIn\u2019s plan could still unravel because the hardware demands of AI are shifting rapidly, but executives say the company has already taken into account surging prices for <a href=\"https:\/\/www.wired.com\/story\/solving-the-pc-memory-crisis\/\" class=\"text link\">memory chips<\/a>.<\/p>\n<p class=\"paywall\">\u201cOne of the goals we&#8217;ve set is to try to basically keep our compute footprint flat or as close to flat as possible while shipping more compute-hungry things to production,\u201d says Erran Berger, LinkedIn\u2019s chief technology officer for engineering. \u201cThat\u2019s a pretty bold statement to make in today&#8217;s world.\u201d<\/p>\n<p class=\"paywall\">Berger and Raghu Hiremagalur, LinkedIn\u2019s chief technology officer for infrastructure, say they want to be prudent about spending and that the new constraints will motivate engineering teams to get more creative when developing the many new generative AI features LinkedIn is planning to launch. Berger says he believes the efficiency gains could compound over time, enabling LinkedIn to get more out of data center expansions when it eventually increases its budgets again.<\/p>\n<p class=\"paywall\">\u201cI really want to double underscore that for a company of our scale, to say a full year we&#8217;re going to do this with no incremental storage and compute is no small feat, but it&#8217;s taken a ton of work to get there,\u201d Hiremagalur says.<\/p>\n<p class=\"paywall\">Companies such as OpenAI, Meta, and Google are <a href=\"https:\/\/www.wired.com\/story\/data-center-ai-boom-us-economy-jobs\/\" class=\"text link\">scrounging up all the money they can find<\/a> and <a href=\"https:\/\/www.wired.com\/story\/anthropic-spacex-compute-deal-colossus\/\" class=\"text link\">coupling up in unexpected partnerships<\/a> to construct, furnish, and operate massive data centers filled with the newest computer chips. Labor and parts shortages have held up many projects, and many businesses have had to limit customer usage of some AI tools. But there <a href=\"https:\/\/www.wired.com\/story\/claude-tokens-compute-cost-code-8x8\/\" class=\"text link\">are also growing questions<\/a> about whether the relentless investment in AI is sustainable. LinkedIn, with more than 1.3 billion users, is perhaps the largest business yet to publicly address spending concerns by bucking the building boom.<\/p>\n<p class=\"paywall\">\u201cIt is encouraging for the industry,\u201d says Songyee Yoon, managing partner of Principal Venture Partners and a board member at the server maker HP. \u201cIt suggests AI is beginning to move from experimentation into production discipline. The companies that win will not simply be the ones that spend the most on infrastructure.\u201d<\/p>\n<h2 class=\"paywall\">Owning It<\/h2>\n<p class=\"paywall\">A few years after Microsoft acquired LinkedIn in 2016, the company tried moving to its parent company\u2019s Azure cloud service, but it didn\u2019t make economic sense to squeeze the giant social network into general-purpose data centers. \u201cMicrosoft Azure was growing like crazy, the level of customer demand was through the roof, and at the same time we saw skyrocketing growth on the LinkedIn side,\u201d Hiremagalur says.<\/p>\n<p class=\"paywall\">In 2022, LinkedIn went all-in on its own data centers in Oregon, Texas, and Virginia. The ownership gave LinkedIn significant control over every detail of its technology, setting itself up well to meet the realities of a new era. Around the same time, LinkedIn began developing AI-based assistants that could help users write messages, find jobs, and recruit candidates. The endeavor wasn\u2019t cheap. \u201cEvery query that&#8217;s coming to our site has increased in cost over time,\u201d Hiremagalur says, adding that the amount of data LinkedIn stored was doubling annually. \u201cThat is not a sustainable place to be.\u201d<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.wired.com\/story\/how-linkedin-is-keeping-its-compute-capacity-flat\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Unlike many other big tech platforms, LinkedIn has decided it won\u2019t spend aggressively on expanding its AI data centers this fiscal year. Executives at the professional social network tell WIRED that it plans to keep its investment in GPUs steady, and its compute and storage footprint is also remaining flat. The spending calculations apply to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4735,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[83,409,419,92,1074],"class_list":["post-4734","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-artificial-intelligence","tag-chips","tag-data-centers","tag-generative-ai","tag-linkedin"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>LinkedIn Won\u2019t Be Expanding Its Data Centers in the Next Year - Silvybrand Lifestyle Blog<\/title>\n<meta name=\"description\" content=\"Despite the ongoing AI boom, LinkedIn is holding the line on compute spending. 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