While AI training and inference are often grouped together under the umbrella of “AI workloads,” they possess fundamentally different operational profiles. For data center architects, hyperscalers, and enterprise IT leaders, treating them as identical can lead to massive inefficiencies.

For ordinary ratepayers, the arrival of AI data centers can seem like bad news. But a growing body of evidence, innovative contract structures, and new public policy frameworks suggest the opposite can be true.

To bypass the grid bottleneck, hyperscalers have committed to building their own data center power plants, but is this approach feasible for the average enterprise that needs data center capacity?

While often used interchangeably with “data center,” the AI factory represents a fundamental shift in how we think about computing and the infrastructure required to support it.

A site selection team that has deep real estate knowledge and data center development expertise can identify existing properties for modern data center use. Here we share some of the key requirements that RAEDEN’s site selection team considers when we are assessing properties.

Greenfield and adaptive reuse data center projects follow a similar construction, but the scope, complexity, and challenges vary in each phase. We compare the phases, risks, timelines involved.