As AI workloads grow in scale and power density, organizations must decide where and how to deploy the infrastructure to support them. Should they retrofit existing facilities, build new data centers, or rely on colocation and cloud providers?

This whitepaper from Schneider Electric presents a practical decision framework to help evaluate these options. It examines key factors including total cost of ownership, time-to-market, scalability, data sovereignty, and operational capability, while outlining a five-step process for assessing whether existing sites can support AI infrastructure.

Download the report to learn when retrofitting makes sense and how to plan AI-ready data center capacity more effectively.