India, Aug. 5 -- For much of the AI boom, enterprise conversations have revolved around large language models, GPUs, and new use cases. But as organisations begin deploying AI at scale, a different challenge is taking centre stage: building infrastructure that can reliably support AI workloads in production.

That shift is forcing technology leaders to rethink long-standing assumptions about networking, security, observability, and data architecture. AI infrastructure is no longer just about compute. It is about ensuring data moves efficiently, systems remain secure, and operations stay resilient as AI applications become more autonomous and distributed.

In this interview with Dataquest, Arun Shetty, CTO & Senior Director, Solutions Engi...