Business leaders are eager to harness the potential of AI to drive efficiency, innovation, and growth—but they need data centers that can support heavier AI workloads.

Older data centers can struggle to run increasingly complex models. That means most organizations face an existential dilemma: Prepare data centers for modern AI applications or get left behind by those better equipped to innovate.

In the race to equip data centers for AI workloads, some architects default to the most powerful—and most expensive—solutions on the market. But this isn’t always the right approach. By assessing your priorities and incorporating the right mix of compute, you can get a data center AI-ready while avoiding unnecessary costs.