India, May 18 -- For years, datacenter growth was largely driven by scale, uptime, and connectivity. AI is now forcing the industry into a different phase where infrastructure design itself is under pressure. The rise of GPU-intensive AI workloads is increasing rack densities, energy consumption, cooling complexity, and network demands at a pace traditional enterprise facilities were never designed to handle.

That shift is becoming particularly important in India, where enterprises, Global Capability Centers (GCCs), hyperscalers, and sovereign AI ambitions are all accelerating simultaneously. The challenge is no longer limited to adding capacity. Operators are now dealing with power constraints, liquid-cooling requirements, grid dependen...