AI Workload Deployment in Data Centers: Retrofit, Outsource or Build New?

AI workloads are pushing data centers beyond the capabilities of traditional infrastructure, making retrofit decisions more strategic than ever. Discover how organizations can evaluate existing facilities and determine the right path for AI deployment.
Sept. 30, 2026

Retrofitting existing data centers can provide a faster, more cost-effective alternative to new construction or cloud and colocation options—but only when facilities have the right fundamentals and can support the demands of AI workloads. This report presents a structured framework for evaluating retrofit feasibility, including workload requirements, power and cooling capacity, latency, data sovereignty, scalability, staffing, cash flow, and supply chain considerations. It also outlines a five-step site evaluation process and practical strategies involving validated reference designs, digital design tools, prefab modules, and IT-facilities collaboration to support successful deployments.

Download now to learn how to evaluate your data center and make informed decisions about preparing existing infrastructure for AI workloads.