{"id":139786,"date":"2026-10-29T08:59:01","date_gmt":"2026-10-29T08:59:01","guid":{"rendered":"https:\/\/www.intelligentcio.com\/me\/?p=139786"},"modified":"2026-10-29T08:59:03","modified_gmt":"2026-10-29T08:59:03","slug":"ntt-data-expands-global-ai-factory-network","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/me\/2026\/10\/29\/ntt-data-expands-global-ai-factory-network\/","title":{"rendered":"NTT DATA expands global AI factory network"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc-1024x1024.webp\" alt=\"\" class=\"wp-image-139787\" style=\"width:362px;height:auto\" srcset=\"https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc-1024x1024.webp 1024w, https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc-300x300.webp 300w, https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc-150x150.webp 150w, https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc-768x768.webp 768w, https:\/\/www.intelligentcio.com\/me\/wp-content\/uploads\/sites\/12\/2026\/10\/Dilip-Kumar-President-Technology-Solutions-NTT-DATA-Inc.webp 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<p>NTT DATA has announced the global expansion of its AI Factories, providing hands-on environments where organisations can determine how priority AI use cases can be deployed, secured, governed and operated at scale.<\/p>\n\n\n\n<p>The environments enable business and technology leaders to evaluate AI workloads against real-world requirements, including infrastructure architecture, performance, workload placement and cost.<\/p>\n\n\n\n<p>NTT DATA&#8217;s market research shows that enterprise leaders want greater confidence in performance and business value before scaling AI investments. For many organisations, the transition from AI pilots to production is hindered by infrastructure bottlenecks, governance concerns, security requirements and uncertainty around operational costs and performance.<\/p>\n\n\n\n<p>To help clients make deployment decisions with greater confidence, NTT DATA AI Factories combine the company&#8217;s full-stack AI capabilities with technologies from leading ecosystem partners, including Cisco and NVIDIA.<\/p>\n\n\n\n<p>These facilities demonstrate use cases across employee productivity, customer experience, intelligent operations, cybersecurity, networking, software development and industry-specific business processes. Engagements also include discovery workshops, technical deep dives, proof-of-concept planning and solution design.<\/p>\n\n\n\n<p>The environments are supported by technologies from NTT DATA&#8217;s partner ecosystem, including Cisco Secure AI Factory with NVIDIA, which provides a secure and scalable infrastructure foundation for enterprise AI.<\/p>\n\n\n\n<p>\u201cAI at scale is ultimately about turning intelligence into measurable business impact,\u201d said Dilip Kumar, President, Technology Solutions, NTT DATA, Inc. \u201cThat requires organisations to balance innovation with responsibility and make informed choices about where AI creates value and how it can be deployed sustainably and economically. Our AI Factories help clients build that confidence before they scale.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">A global AI Factory ecosystem<\/h3>\n\n\n\n<p>The Riyadh facility was the first to launch in September 2026, followed by Paris and Singapore. These new sites join the inaugural AI Factory in Plano, Texas.<\/p>\n\n\n\n<p>Riyadh serves as NTT DATA&#8217;s strategic AI Factory hub for the Middle East and Africa, connecting regional organisations to the company&#8217;s expanding global AI Factory ecosystem across North America, Europe and Asia-Pacific.<\/p>\n\n\n\n<p>These four facilities complement the new NTT DATA AI Factory Munich, which opened on 7 October at NTT Global Data Centers&#8217; Munich 2 data centre. The facility enables organisations to test AI systems they own and control against their own use cases in a production-grade environment before making investment decisions.<\/p>\n\n\n\n<p>Together, these facilities form a connected global ecosystem of expertise and capabilities designed to help clients move their AI strategies into production with greater confidence.<\/p>\n\n\n\n<p>\u201cScaling AI goes beyond computing. Enterprises need a secure and resilient infrastructure foundation that spans infrastructure, security, performance and operations \u2014 while maintaining control of their data and AI economics,\u201d said Cassie Roach, Global Vice President, AI Infrastructure &amp; Connectivity Partner Sales, Cisco. \u201cCisco Secure AI Factory with NVIDIA, combined with NTT DATA&#8217;s global presence and expertise, gives organisations a strong foundation for moving AI workloads from experimentation into successful production.\u201d<\/p>\n\n\n\n<p>\u201cRealising AI outcomes starts with building the right AI Factory foundation with strong governance,\u201d said Chris Barnard, Vice President, Networking and Infrastructure Services, IDC. \u201cThat requires infrastructure, data, security and operations to work together, supported by the right ecosystem of partners. NTT DATA&#8217;s AI Factory approach brings these capabilities together to help organisations build operational maturity, manage complexity and turn AI investments into business outcomes.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NTT DATA has announced the global expansion of its AI Factories, providing hands-on environments where organisations can determine how priority AI use cases can be deployed, secured, governed and operated at scale. The environments enable business and technology leaders to evaluate AI workloads against real-world requirements, including infrastructure architecture, performance, workload placement and cost. NTT [&hellip;]<\/p>\n","protected":false},"author":7289,"featured_media":139788,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[809],"tags":[3211,17407],"class_list":["post-139786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-more-news","tag-ai","tag-ntt-data"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/139786","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/users\/7289"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/comments?post=139786"}],"version-history":[{"count":1,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/139786\/revisions"}],"predecessor-version":[{"id":139789,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/139786\/revisions\/139789"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media\/139788"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media?parent=139786"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/categories?post=139786"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/tags?post=139786"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}