From training billion-parameter models to handling real-time inference at scale, AI workloads are pushing data centers to the limit. Legacy infrastructure simply can’t keep up with the compute density, heat output, and performance demands of today’s AI applications. And with power and space at a premium, organizations can’t afford to build inefficiently.

The good news? You don’t have to overhaul everything at once. With the right design choices, you can incrementally future-proof your data center to meet AI’s growing demands without sacrificing scalability or ROI.