{"id":792,"date":"2025-04-16T22:13:40","date_gmt":"2025-04-16T22:13:40","guid":{"rendered":"https:\/\/www.techrepublic.com\/?p=4302164"},"modified":"2025-04-16T22:13:40","modified_gmt":"2025-04-16T22:13:40","slug":"nvidias-vision-for-ai-factories-major-trend-in-the-data-center-world","status":"publish","type":"post","link":"https:\/\/blog.tecnoartesanos.com\/index.php\/2025\/04\/16\/nvidias-vision-for-ai-factories-major-trend-in-the-data-center-world\/","title":{"rendered":"NVIDIA\u2019s Vision For AI Factories \u2013 \u2018Major Trend in the Data Center World\u2019"},"content":{"rendered":"<figure id=\"attachment_4302162\" aria-describedby=\"caption-attachment-4302162\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-4302162\" src=\"https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2.png\" alt=\"Photo from NVIDIA related to AI factories.\" width=\"1271\" height=\"654\" srcset=\"https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2.png 1271w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-300x154.png 300w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-1024x527.png 1024w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-768x395.png 768w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-50x26.png 50w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-770x396.png 770w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-370x190.png 370w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-270x139.png 270w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-740x381.png 740w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-540x278.png 540w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-1110x571.png 1110w, https:\/\/assets.techrepublic.com\/uploads\/2025\/04\/nvidia-ai-factories-gtc25.-kv-2-810x417.png 810w\" sizes=\"auto, (max-width: 1271px) 100vw, 1271px\"><figcaption id=\"caption-attachment-4302162\" class=\"wp-caption-text\">Image: NVIDIA<\/figcaption><\/figure>\n<p>NVIDIA kicked off the Data Center World 2025 event this week in Washington, D.C., with a bold vision for the future of AI infrastructure.<\/p>\n<p>In his keynote, Wade Vinson, NVIDIA\u2019s chief data center engineer, introduced the concept of AI-scale data centers; these massive, energy-efficient facilities would meet the soaring demand of accelerated computing. NVIDIA envisions sprawling \u201cAI factories\u201d powered by Blackwell GPUs and DGX SuperPODs, supported by advanced cooling and power systems by Vertiv and Schneider Electric.<\/p>\n<p>\u201cThere is no doubt that AI factories are a major trend in the data center world,\u201d said Vinson.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Completing_phase_one_of_an_AI_factory_in_Texas\"><\/span>Completing phase one of an AI factory in Texas<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Vinson pointed to the Lancium Clean Campus that Crusoe Energy Systems is building near Abilene, Texas. As he explained:<\/p>\n<ul>\n<li aria-level=\"1\">The first phase of this AI factory is largely complete: 200 MW in two buildings.<\/li>\n<li aria-level=\"1\">The second phase will expand it to 1.2 GW. It should be completed by the middle of 2026.<\/li>\n<li aria-level=\"1\">The design includes direct-to-chip liquid cooling, rear-door heat exchangers, and air cooling.<\/li>\n<li aria-level=\"1\">It will comprise six additional buildings, bringing the facility to four million square feet.<\/li>\n<li aria-level=\"1\">10 gas turbines will be deployed onsite to provide <a href=\"https:\/\/www.eweek.com\/artificial-intelligence\/ai-energy\/\">on-site power<\/a>.<\/li>\n<\/ul>\n<p>Additionally, each building will operate up to 50,000 NVIDIA GB200 NVL72s GPUs on a single integrated network fabric, advancing the frontier of data center design and scale for AI training and inference workloads.<\/p>\n<p>Vinson said some AI factories will leverage on-site power, while others will take advantage of sites where power is already available. He pointed to old mills, manufacturing sites, and retail facilities that are already plugged into the grid.<\/p>\n<p>For example, an old mall in San Francisco can be converted to an AI factory in months, rather than the many years required to complete new-build construction and obtain utility interconnects and permits. Such sites often have large roofs that can be used for solar power arrays.<\/p>\n<aside class=\"pinbox right\">\n<h3 class=\"heading\">More about data centers<\/h3>\n<\/aside>\n<h2><span class=\"ez-toc-section\" id=\"Reconfiguring_existing_data_centers_into_AI_factories\"><\/span>Reconfiguring existing data centers into AI factories<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>How about existing data centers? Aging structures may struggle to accommodate NVIDIA gear and AI applications. Vinson believes many colocation facilities (colos) are in a good position to be transitioned into AI factories.<\/p>\n<p>\u201cAny colo built in the last 10 years has enough power and cooling to become an AI factory,\u201d he said. \u201cAI factories should be looked upon as a revenue opportunity rather than an expense.\u201d<\/p>\n<p>He estimates that <a href=\"https:\/\/www.eweek.com\/artificial-intelligence\/ai-productivity-tools\/\">AI could boost business and personal productivity<\/a> by 10% or more, adding $100 trillion to the global economy.<\/p>\n<p>\u201cIt represents a bigger productivity shift than happened due to the wave of electrification around the world that started about 100 years ago,\u201d said Vinson.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Planning_is_key_to_AI_factory_success\"><\/span>Planning is key to AI factory success<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Vinson cautioned those interested in building or running their own AI factories about the importance of planning. It\u2019s important to consider the various factors involved, and modeling is vital.<\/p>\n<p>He touted NVIDIA\u2019s Omniverse simulation tool as one way to correctly plan an AI factory. It uses digital twin technology to enable comprehensive modeling of data center infrastructure and design optimization. Failing to model in advance and simulate many possible scenarios can lead to inefficiencies in areas such as energy consumption and can extend construction timelines.<\/p>\n<p>\u201cSimulations empower data centers to enhance operational efficiency through holistic energy management,\u201d said Vinson.<\/p>\n<p><b>SEE: <\/b><a href=\"https:\/\/www.techrepublic.com\/article\/data-centres-energy-reduction-code\/\"><b>Data Centres Can Cut Energy Use By Up To 30% With Just About 30 Lines of Code<\/b><\/a><\/p>\n<p>For example, many data center veterans may find it challenging to shift from traditional concepts of racks, aisles, and servers to GPU gear surrounded by liquid cooling and with adequate power and power distribution equipment.<\/p>\n<p>AI factory designs will have far more power and cooling gear inside than server racks; therefore, layouts will be radically different. After all, the amount of heat generated by GPU-powered SuperPODs is more than that generated by typical data centers.<\/p>\n<p>\u201cExpect significant consolidation of racks,\u201d said Vinson. \u201cEight old racks might well become one future rack with GPUs inside. It is essential to develop a simplified power and cooling configuration for the racks inside AI factories, as these will be quite different from what most data centers are used to.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Image: NVIDIA NVIDIA kicked off the Data Center World 2025 event this week in Washington, D.C., with a bold vision for the future of AI infrastructure. In his keynote, Wade Vinson, NVIDIA\u2019s chief data center engineer, introduced the concept of AI-scale data centers; these massive, energy-efficient facilities would meet the soaring demand of accelerated computing. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":793,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-792","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA\u2019s Vision For AI Factories \u2013 \u2018Major Trend in the Data Center World\u2019 - TecnoArtesanos Tech Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.tecnoartesanos.com\/index.php\/2025\/04\/16\/nvidias-vision-for-ai-factories-major-trend-in-the-data-center-world\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA\u2019s Vision For AI Factories \u2013 \u2018Major Trend in the Data Center World\u2019 - TecnoArtesanos Tech Blog\" \/>\n<meta property=\"og:description\" content=\"Image: NVIDIA NVIDIA kicked off the Data Center World 2025 event this week in Washington, D.C., with a bold vision for the future of AI infrastructure. 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