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The combination of High-Performance Computing at the edge with AI capabilities can deliver significant real-world benefits for companies in just about any industry.
CoStar reports that DataBank is building a $670 million facility in Northern Virginia to support rising AI and high-density computing demand. The project strengthens our U.S. footprint while advancing energy efficiency and sustainable operations.
Axios Kansas City reports that DataBank has doubled its South Lake data center in Lenexa to meet growing demand. The first 17,000-square-foot data hall is already sold out, with two more underway.
The Information reports that DataBank completed a $1.1 billion asset-backed securities transaction, the first in the data center sector to receive a Moody’s credit rating. The Class A-2 notes earned an A3 investment grade rating, underscoring growing confidence from credit agencies in data center financing.
DataBank has raised $1.1 billion in its first hyperscale securitization, marking the industry’s first dual-rated data center ABS by S&P and Moody’s. The oversubscribed issuance expands DataBank’s securitized portfolio to $3.23 billion, funding growth of its U.S. hyperscale and enterprise data center platform.
DataBank has been named to Data Centre Magazine’s 2025 Top 100 Data Center Companies list, recognizing its leadership in colocation, connectivity, and sustainable digital infrastructure innovation.
Multi-cloud environments multiply compliance complexity. Learn how to navigate shared responsibility models and choose infrastructure partners that simplify rather than complicate regulatory requirements.
On the FutureScaleX podcast, CEO Raul Martynek shared how DataBank is scaling to meet AI demand while targeting our net zero carbon goal by 2030. He highlighted the role of advanced cooling and smart design in keeping growth sustainable.
DataBank’s latest research report, “Accelerating AI: Navigating the Future of Enterprise Infrastructure,” surveyed uncovered a surprising shift: data quality is no longer blocking AI success, but integration challenges and talent shortages are the new obstacles to AI adoption.
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