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Tell us about your infrastructure requirements and how to reach you, and one of team members will be in touch shortly.
Let us know which data center you'd like to visit and how to reach you, and one of team members will be in touch shortly.
See what thought leaders, editors, and experts across the industry are saying about DataBank.
DataBank’s Head of Sustainability, Jenny Gerson, highlighted data centers’ efforts to optimize power usage, reduce water consumption, and adopt energy storage solutions ahead of Zero Emissions Day.
In The Wall Street Journal, DataBank CEO Raul Martynek highlighted the shift to vertical data centers to meet AI-driven power needs. While taller buildings in cities increase costs, they help reduce latency and keep services close to tech hubs, ensuring faster connections.
DataBank CEO Raul Martynek spoke on ABC News’ Perspective podcast about the rising demand for AI-driven data centers and DataBank’s role in supporting the infrastructure behind AI and digital services. (The segment begins at the 23:02 mark.)
DataBank is building a 20-megawatt data center in Orangeburg, New York, to support growing AI and digital service demands. Located 25 miles from Manhattan, the facility is engineered for high reliability and uninterrupted operation.
DataBank plans to open its largest campus in Red Oak, Texas by mid-2026, with eight two-story data centers on 292 acres. This expansion aims to meet the surging demand from AI advancements and support the tech industry’s growth effectively.
DataBank announces a new 292-acre campus in Red Oak, Texas, with plans for up to eight data centers totaling 3.4 million square feet. The project, addressing the surge in AI demand, is set for initial operations by Q2 2026.
DataBank is set to expand with a new 3.4 million square foot campus in Ellis County, featuring eight two-story data centers. The Red Oak campus will significantly enhance DataBank’s infrastructure capacity.
Artificial intelligence experiences trigger a chain reaction of demand: AI server chips, power, and data center capacity, according to DataBank CEO Raul Martynek, in this introduction to the AI Data Center Database.
DataBank CEO Raul Martynek comments on how AI clusters are used for both training and inference. Read the article.
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