Data egress fees, parallel infrastructure costs, and capacity planning challenges make cloud repatriation far more complex and expensive than most organizations anticipate when planning their exit strategy.

Culpeper County, Virginia, and DataBank demonstrate how strategic planning and authentic partnership can drive economic growth while addressing community concerns about data center development.

AI data centers’ explosive power growth seems alarming, but innovative energy storage, virtual power plants, and grid flexibility solutions are already addressing demand without requiring panic-inducing infrastructure overhauls.

DataBank teams across eight data centers recently united to send more than 500 letters of gratitude and encouragement to U.S. troops.

DataBank’s Red Oak campus is building the future of Dallas data center infrastructure with eight facilities totaling 3.4 million square feet. The construction numbers reveal just how massive this project is.

AI is creating a perfect storm in data center construction. Liquid cooling systems, supply chain constraints, and critical labor shortages are forcing builders to completely rethink traditional approaches.

Cloud repatriation has become mainstream as 86% of CIOs plan to move workloads back from public cloud. Explore the cost overruns, compliance complexity, and support limitations driving this shift.

Cloud dominates today’s AI workloads, but that’s changing fast. Our research shows 96% of enterprises expect their infrastructure distribution to shift dramatically within five years.

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.