{"id":8186,"date":"2026-05-19T19:18:36","date_gmt":"2026-05-19T19:18:36","guid":{"rendered":"https:\/\/gruve.ai\/?post_type=video&amp;p=8186"},"modified":"2026-05-19T19:18:36","modified_gmt":"2026-05-19T19:18:36","slug":"ai-data-centers-why-infrastructure-is-the-real-bottleneck","status":"publish","type":"video","link":"https:\/\/gruve.ai\/ae\/video\/ai-data-centers-why-infrastructure-is-the-real-bottleneck\/","title":{"rendered":"Tarun Raisoni on Bloomberg | AI Data Centers: Why Infrastructure Is the Real Bottleneck"},"content":{"rendered":"<p>AI at scale starts with infrastructure, not just models.<\/p>\n<p>In this Bloomberg segment, Gruve CEO Tarun Raisoni explains why &#8220;AI requires a lot of infrastructure. The underlying infrastructure is energy, data centers, lot of compute. And the compute requirements are 10, 100, 1,000x bigger,&#8221; and what that means for where and how we build the next wave of inference data centers near tier one and tier two cities, from grid to last mile and edge.<\/p>\n<p>Production AI is decided by power, placement, and density long before you pick a model.<\/p>\n<p>As Tarun Raisoni told Bloomberg, &#8220;AI requires a lot of infrastructure. The underlying infrastructure is energy, data centers, lot of compute. And the compute requirements are 10, 100, 1,000x bigger.&#8221;<\/p>\n<p>If you&#8217;re deciding where to build the next wave of inference data centers near tier one and tier two cities, this is the design space that matters, from grid to last mile and edge. Watch the Bloomberg clip to see how Gruve thinks about <a href=\"https:\/\/www.youtube.com\/redirect?event=video_description&amp;redir_token=QUFFLUhqbWVET1NJZHV0TU5JWkdLOFZ3SGcxR1dtNUtEZ3xBQ3Jtc0tuMUpwWWppTlJnUVNJSFl6cFRGVjRGZmpSczZPZXpFZXNDLWtkU2tqSDB2bWtSa09BeUoxU2JGVlg0dWswcDhYazFKa2d1X1Z3Zlp4aHZyNzJFTEtKSEFidWxoZ1c5RXpLZ09VM05Qa29EdmZqT2J1WQ&amp;q=https%3A%2F%2Fgruve.ai%2Finference-infrastructure-fabric%2F&amp;v=d-5XNcOkz8U\">AI-ready infrastructure<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI at scale starts with infrastructure, not just models. In this Bloomberg segment, Gruve CEO Tarun Raisoni explains why &#8220;AI requires a lot of infrastructure. The underlying infrastructure is energy, data centers, lot of compute. And the compute requirements are 10, 100, 1,000x bigger,&#8221; and what that means for where and how we build the [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":8185,"template":"","industry":[],"topic":[],"class_list":["post-8186","video","type-video","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Why AI Data Centers Are the Real Bottleneck | Gruve Video<\/title>\n<meta name=\"description\" content=\"Gruve experts explain why AI data center infrastructure is the critical bottleneck for enterprise AI at scale \u2014 and what enterprises need to do to solve it.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gruve.ai\/ae\/video\/ai-data-centers-why-infrastructure-is-the-real-bottleneck\/\" \/>\n<meta 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