--- 格式版本: 2 标题: "NTT Lands 115 MW in Data Center Deals as Part of $10B AI Push" 原文链接: "https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push" 发布日期: "2026-09-04" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:local:strict_original_body" 发布时间证据: "Sep 4, 2026" 发布时间校准原因: "文章正文包含大量2026-09-04的事件日期，标题附近明确标注Sep 4, 2026，且发布时间不可能早于正文最新事件日期，故确定为2026-09-04。" 发布时间校准置信度: "1" 发布时间候选数量: 47 发布时间严格候选数量: 5 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-05T13:48:27+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 31646 发现时间: "2026-09-05T13:47:31+08:00" 入库时间: "2026-09-05T05:48:59.109Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "https://www.datacenterknowledge.com/search?q=deployment" 匹配关键词: - "deployment" - "AI" - "Liquid Cooling" - "800V" - "performance" - "GPU" 相关厂家: - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 73 AI分档: "召回候选" AI质检状态: "不通过" AI打分理由: "正文主线为NTT Data获得约115MW美国数据中心容量协议，属于数据中心容量/投资新闻而非超节点或rack-scale产品发布；来源为专业媒体Data Center Knowledge，含高管采访和具体容量/客户类型数字；历史知识库未见该事件，新增事实包括115MW总容量、90MW超大规模客户、20MW企业客户、三个园区及过去一年370MW扩展；但未命中高价值准入通道，受普通数据中心容量/基础设施项目否决约束，缺乏可复用超节点级机架拓扑或关键部件路线，故列召回候选。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-05T13:49:35+08:00" AI主题相关性: 10 AI来源权威性: 13 AI新颖性: 15 AI技术细节: 11 AI商业部署信号: 14 AI完整性: 10 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.90" AI评分知识库SHA256: "cc472d2f92f1fa4aa3a346f6150f54dffe6b7eb9657db5a9a45b3236d038ed29" AI评分知识库检索词: "[\"deployment\",\"800V\",\"Liquid Cooling\",\"RAS\",\"GPU\",\"Google\",\"AMD\",\"NTT\",\"MW\",\"URL\",\"US\",\"IT\"]" AI评分知识库命中: "[{\"id\":\"july-correct-0010\",\"title\":\"Schneider Electric and AMD release first Helios platform reference design to accelerate AI Factory deployment\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"deployment\",\"Liquid Cooling\",\"RAS\",\"GPU\",\"AMD\",\"MW\",\"URL\",\"US\",\"IT\"],\"rank\":-18.7286391810719},{\"id\":\"runtime-aa99f8cfcbdc63c2f643808e\",\"title\":\"Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"deployment\",\"Liquid Cooling\",\"RAS\",\"GPU\",\"MW\",\"URL\",\"US\",\"IT\"],\"rank\":-15.335379896763131},{\"id\":\"runtime-099c218c1451c56c37814522\",\"title\":\"For High-Density AI, Available Data Center Space May Not Be Usable\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-18\",\"matchedTerms\":[\"deployment\",\"Liquid Cooling\",\"RAS\",\"GPU\",\"MW\",\"US\",\"IT\"],\"rank\":-14.744653882250566},{\"id\":\"runtime-99f3eee94f84b55e25d208ba\",\"title\":\"Powering the Next Era of AI: How Google, Microsoft and Nvidia Are Standardizing and Accelerating the Industry Transition to LVDC\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-12\",\"matchedTerms\":[\"deployment\",\"800V\",\"RAS\",\"Google\",\"MW\",\"US\",\"IT\"],\"rank\":-13.906836789875468},{\"id\":\"july-correct-0033\",\"title\":\"Microsoft, Alphabet, Meta Pivot from Buy to Build in AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"deployment\",\"RAS\",\"GPU\",\"Google\",\"AMD\",\"URL\",\"US\",\"IT\"],\"rank\":-13.489206130605282}]" 采集批次: "2026年9月5日13点26分30秒" 采集批次ID: "20260905-132630-225dc8c5" 去重键: "https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push" --- Title: NTT Lands 115 MW in Data Center Deals as Part of $10B AI Push URL Source: https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push Published Time: 2026-03-13T12:45:00.000Z Markdown Content: [![Image 1: Informa 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[![Image 17: Picture of Shane Snider](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt68d42dde3032e1e9/67212dce29bb88408c6ac9be/Shane_Snider_Profile.webp?width=100&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/shane-snider) [Shane Snider,](https://www.datacenterknowledge.com/author/shane-snider)Senior News Writer,Data Center Knowledge March 13, 2026 4 Min Read ![Image 18: NTT logo](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt12624863747b2852/69b314ace4f2b9501f0f5832/2YNNPC3.jpg?width=1280&auto=webp&quality=80&disable=upscale) Alamy [](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/build-design/ntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push&title=NTT%20Lands%20115%20MW%20in%20Data%20Center%20Deals%20as%20Part%20of%20%2410B%20AI%20Push)[](https://bsky.app/intent/compose?text=NTT%20Lands%20115%20MW%20in%20Data%20Center%20Deals%20as%20Part%20of%20%2410B%20AI%20Push%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fbuild-design%2Fntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push)[](mailto:?subject=NTT%20Lands%20115%20MW%20in%20Data%20Center%20Deals%20as%20Part%20of%20$10B%20AI%20Push&body=I%20thought%20the%20following%20from%20DataCenterKnowledge%20might%20interest%20you.%0D%0A%0D%0A%20NTT%20Lands%20115%20MW%20in%20Data%20Center%20Deals%20as%20Part%20of%20%2410B%20AI%20Push%0D%0Ahttps%3A%2F%2Fwww.datacenterknowledge.com%2Fbuild-design%2Fntt-data-lands-115-mw-in-us-data-center-deals-as-part-of-10b-ai-push) Global IT services provider NTT Data has secured nearly 115 MW of new data center capacity commitments from hyperscale and enterprise customers across three US campuses, underscoring rising demand for AI workload infrastructure. The new agreements span facilities in Gainesville, Va., Chicago, and Sacramento, Calif., and include more than 90 MW from a major hyperscale provider, as well as nearly 20 MW contracted by three enterprise organizations. The deals arrive as NTT expands its global platform under a multi-year plan to invest more than $10 billion in data center infrastructure by 2027, targeting facilities designed to support high-density compute clusters, AI training and inference workloads, and emerging liquid-cooling deployments. “These new commitments speak to the confidence that clients place in NTT Global Data Centers to support their most ambitious digital initiatives,” said Doug Adams, CEO and president of NTT Global Data Centers, in a statement. “As compute requirements continue to accelerate, organizations are seeking infrastructure that can evolve at the same pace.” Related:[AFCOM: Rack Density and Build-Outs Surge as AI Overhauls Data Center Design](https://www.datacenterknowledge.com/data-center-construction/afcom-rack-density-and-build-outs-surge-as-ai-overhauls-data-center-design) Bruno Berti, senior vice president of global product management at NTT Global Data Centers, highlighted growing enterprise demand. “The demand we’re seeing isn’t just hyperscale. Enterprise clients are increasingly pre-leasing multi-megawatt capacity because they recognize the importance of scalable, AI-ready infrastructure,” Berti told Data Center Knowledge in an interview. “Our flexible designs allow them to pivot between air and liquid cooling and adapt rack densities as workloads evolve.” Steven Dickens, CEO and analyst at HyperFrame Research, told Data Center Knowledge that NTT’s news shows a push to meet the growing physical demands of AI training and inference. “NTT’s 115 MW capacity surge is a direct response to the infrastructure velocity gap, validating our thesis that the primary limiter of AI today isn’t model selection but the physical struggle to find power-dense, inference-ready environments,” Dickens said. “By prioritizing liquid-cooling and high-density clusters, NTT is effectively building the ‘foundational layer’ needed to bridge what we tend to call the ‘Execution Gap’ – the messy space between ambitious AI pilots and the operational reality of production ROI.” ## Hyperscale Demand Drives Largest Deployment The largest commitment comes from a hyperscale customer deploying more than 90 MW at NTT’s VA11 campus in Virginia, part of the broader [Northern Virginia data center ecosystem](https://www.datacenterknowledge.com/data-center-construction/could-texas-overtake-northern-virginia-as-the-data-center-capital-) that continues to serve as the world’s largest concentration of cloud infrastructure. Related:[How Grid-Safe Data Centers Can Help Ease the Power Crisis](https://www.datacenterknowledge.com/energy-power-supply/how-grid-safe-data-centers-can-help-ease-the-power-crisis) The deployment is designed for high-density, AI-driven workloads, enabling customers to scale rack densities and cooling strategies as compute requirements evolve. Hyperscale operators are increasingly seeking facilities capable of supporting AI clusters with higher power densities, often requiring advanced thermal management and flexible power distribution architectures. “Our standard data halls are hybrid-ready,” Berti said. "Fan walls and CDU loops are modular in 1 MW increments. Clients can start with air and add liquid later, or scale liquid cooling for AI-only high-density designs north of 200 kW per rack.” ## Enterprises Expand AI-Ready Infrastructure While hyperscalers accounted for most of the new capacity in the latest agreements, NTT also signed nearly 20 MW in enterprise deployments spanning multiple industries. A financial services institution selected the platform for its compliance capabilities and adaptable cooling infrastructure, which enable a transition to liquid as AI deployments expand. A gaming platform provider cited proximity to cloud availability zones and flexibility in cooling. A cybersecurity company expanded an existing footprint, prioritizing rapid deployment timelines and scalable capacity within an established campus. Related:[Meet the Women Shaping AI-Ready Data Centers](https://www.datacenterknowledge.com/ai-data-centers/meet-the-women-shaping-ai-ready-data-centers) “Enterprise clients are increasingly looking for AI-capable infrastructure,” Berti noted. "We’re seeing hybrid strategies where organizations want facilities that can handle both traditional cloud workloads and AI training and inference. Our designs give them that flexibility without delaying deployment.” Dickens added, “The mix of hyperscale and financial enterprise deals reflects a shift toward a hybrid-first mindset, where organizations are moving past the ‘SaaS apocalypse’ hype to anchor mission-critical AI workloads in specialized, resilient infrastructure. Ultimately, this $10 billion buildout signals that 2026 is no longer about the ‘AI gold rush’ of experimentation, but about the ‘AI factory’ era where physical power and data gravity dictate who actually crosses the finish line.” ## Global Expansion to Support AI Infrastructure NTT has been steadily expanding its data center footprint to keep pace with demand for AI infrastructure. Over the past year, the company launched 10 new facilities across North America, EMEA, and APAC, adding more than 370 MW of new IT capacity to its global platform. Those expansions are part of a broader strategy to scale infrastructure for next-generation AI workloads and the growing digital economy. Berti highlighted the company’s approach to future-proofing: “We evaluate every site for grid availability and alternative power sources, including on-site generation, natural gas, fuel cells, and nuclear. Our designs can pivot as workloads evolve, so clients can deploy AI clusters today and scale tomorrow without rebuilding infrastructure.” * * * ## DCK Analysis: AI Demand Broadens the Data Center Market These commitments reflect a broader shift in the infrastructure market: AI-driven demand is expanding beyond hyperscalers. While the largest deployment involves a hyperscale customer, additional enterprise agreements suggest organizations across industries are securing capacity for AI inference and high-performance computing. For operators like NTT DATA, that shift is reshaping facility design. AI clusters require higher rack densities, greater power flexibility, and cooling architectures capable of supporting liquid cooling as deployments scale. The trend is also intensifying competition for high-density capacity in established markets, particularly in major data center hubs such as Northern Virginia and Chicago, where power availability and speed to deployment remain critical for large AI projects. 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His reporting focuses on the operational, economic, and environmental forces reshaping digital infrastructure, including AI factories, utility constraints, liquid cooling, renewable energy procurement, and next-generation data center architectures. He has won recent Azbee awards for news series and government reporting. Based in Raleigh, North Carolina, Snider covers how hyperscalers, utilities, chipmakers, and infrastructure providers are responding to the rapid rise of AI workloads and global compute demand. You can reach Shane at [shane.snider@informatechtarget.com](mailto:shane.snider@informatechtarget.com) or on [LinkedIn](https://www.linkedin.com/in/shane-snider-1727755/). [See more from Shane Snider](https://www.datacenterknowledge.com/author/shane-snider) [![Image 20: Add as a preferred source on Google](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt2786692164e47749/69b46950fc6bd41335ba3b1b/google_preferred_source_badge_dark@2x.png?width=800&auto=webp&quality=80&disable=upscale)](https://google.com/preferences/source?q=https://www.datacenterknowledge.com/) ## Want more Data Center Knowledge stories in your Google search results? [Add Us Now](https://google.com/preferences/source?q=https://www.datacenterknowledge.com/) Subscribe to the Data Center Knowledge Newsletter Get analysis and expert insight on the latest in data center business and technology delivered to your inbox daily. 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