More AI workloads are moving back into enterprise and colocation environments. But many of these environments were built long before AI was in use; their power and cooling profiles can’t handle the density. Now what?
For many, AI started in the cloud, but it isn’t always staying there. Data center and infrastructure teams are realizing the latency, cost and control tradeoffs that result when all AI processing is pushed to hyperscale facilities.
Accordingly, more AI workloads are moving back into enterprise and colocation environments. But there’s one problem with this shift: These environments were built long before AI was in use, and their power and cooling profiles can’t handle this level of density.
Not all organizations have the capital (or the desire) to construct new data center spaces every time AI demand spikes. And, especially within enterprises, their teams don’t have the expertise or time to design new high-density solutions for each new project.
Factors to consider when deciding where AI will live
