{"id":209774,"date":"2025-10-08T19:06:10","date_gmt":"2025-10-08T19:06:10","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/209774\/"},"modified":"2025-10-08T19:06:10","modified_gmt":"2025-10-08T19:06:10","slug":"nvidias-integrated-ai-factory-blueprint","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/209774\/","title":{"rendered":"Nvidia’s integrated AI factory blueprint"},"content":{"rendered":"

The enterprise is entering a new computing era \u2014 one defined by the AI factory, where data, models and accelerated infrastructure<\/a> come together to create intelligence at scale.<\/p>\n

First introduced by Nvidia Corp.\u2019s CEO, Jensen Huang<\/a>, the AI factory concept represents a shift in how enterprises think about data centers. No longer just a collection of servers, storage and networking gear, it\u2019s a center of excellence for enterprise AI \u2014 a place where organizations generate value from their proprietary data, according to\u00a0Anne Hecht<\/a> (pictured), senior director of product marketing for enterprise software at Nvidia.<\/p>\n

\"Discover<\/p>\n

Nvidia\u2019s Anne Hecht discusses next-gen data centers with theCUBE.<\/p>\n

\u201cI like to describe the AI factory as \u2026 infrastructure; it\u2019s the accelerated computing, networking, storage \u2026 you need models, there\u2019s a layer of software in there,\u201d she said. \u201cBut it doesn\u2019t become a factory until you add that enterprise\u2019s data, their IP that is embodied in that data, and you start to actually do inference and processing of that data and gain insights and create those tokens. That\u2019s what we talk about: results and generating results based on that data.\u201d<\/p>\n

Hecht spoke with theCUBE\u2019s John Furrier<\/a> for\u00a0theCUBE + NYSE Wired: AI Factories \u2013 Data Centers of the Future<\/a> event series, during an exclusive broadcast on theCUBE, SiliconANGLE Media\u2019s livestreaming studio. They discussed what the AI factory means for business transformation, how enterprises can build one, and why the future of computing is hybrid, intelligent and agentic.<\/p>\n

The AI factory represents a new model for enterprise value<\/p>\n

No longer just a collection of servers, storage and networking gear, the AI factory is a center of excellence for enterprise AI \u2014 a place where organizations generate value from their proprietary data.\u00a0In Nvidia\u2019s view, it is where data becomes tokens, which are usable outputs that represent knowledge and decision-making power.<\/p>\n

\u201cEnterprises that we\u2019ve worked with, that maybe were early adopters and used accelerated computing for training, are realizing that with the onset of generative AI, agentic AI, inference and even the production workload needs to be on an accelerated system,\u201d Hecht said.<\/p>\n

Enterprises are now rethinking their long-standing reliance on x86-based CPU systems.\u00a0The shift toward GPU-accelerated infrastructure allows organizations to handle both training and inference workloads for AI and agentic systems. Nvidia\u2019s partners, such as Dell Technologies Inc., are helping enterprises evolve strategically \u2014 upgrading portions of their infrastructure to accommodate accelerated computing without necessarily increasing total spend, according to Hecht.<\/p>\n

\u201cIt\u2019s just spending your infrastructure budget in a slightly more strategic way and gradually building in room for accelerated computing so you can take advantage of these AI workloads,\u201d she said. \u201cWe have a lot of broad offerings of accelerated computing. We have PCIe GPU systems that understand the modern data center and run x86 applications, so you can still do data processing, render basic workloads on these systems and start doing AI on these systems as well.\u201d<\/p>\n

As enterprises adopt AI, many discover fragmented use across departments \u2014 DIY chatbots, third-party tools and disconnected AI pilots that create security risks and inefficiencies. Nvidia\u2019s solution is to help organizations standardize their AI development environments, Hecht noted.<\/p>\n

\u201cWe have a whole ecosystem of partners that we\u2019ve enabled with our libraries so they can expose through these developer environments that our third-party partners have created,\u201d she said. \u201cSo, an AI practitioner can quickly create their own application or chatbot, even a deep research agent, but they can do it safely and then in a standard way as well.\u201d<\/p>\n

Here\u2019s the complete video interview, part of SiliconANGLE\u2019s and theCUBE\u2019s coverage of theCUBE + NYSE Wired: AI Factories \u2013 Data Centers of the Future<\/a> event series:<\/p>\n<\/p>\n

Photo: SiliconANGLE<\/p>\n

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About SiliconANGLE Media<\/p>\n

SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"The enterprise is entering a new computing era \u2014 one defined by the AI factory, where data, models…\n","protected":false},"author":2,"featured_media":209775,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[191,120013,15091,74,114371],"class_list":["post-209774","post","type-post","status-publish","format-standard","has-post-thumbnail","category-computing","tag-computing","tag-inside-nvidias-ai-factory-vision-to-power-enterprise-computings-next-era","tag-siliconangle","tag-technology","tag-victor-dabrinze"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/209774","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=209774"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/209774\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/209775"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=209774"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=209774"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=209774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}