AI adoption is reshaping data center design, creating new demands for power, cooling, and scalability. Unlike traditional IT, AI workloads generate unpredictable, high-density compute patterns that stress infrastructure. Schneider Electric highlights challenges including power distribution, thermal management, and sustainability pressures, with AI clusters requiring 10–100 kW per rack. To address this, operators must embrace modular, flexible designs, advanced liquid cooling, and digital twin simulations to optimize performance. Proactive planning ensures resilience, efficiency, and compliance while enabling organizations to harness AI’s potential without compromising uptime or environmental goals.

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