India, March 10 -- The shift from AI assistants to fully autonomous digital teammates is quietly rewriting the foundations of enterprise architecture. What began as copilots embedded into productivity tools is now evolving into agentic systems capable of making decisions about where workloads run, how resources are consumed, and how outcomes are optimised across the business.

This transition places unprecedented demands on infrastructure. Agentic AI does not operate in bursts. It requires continuous inference, ultra-low latency, and a unified operational fabric that spans core data centres, edge environments, and public and private clouds. At the same time, enterprises must balance speed with security, and autonomy with governance, as AI...