India, Jan. 27 -- As artificial intelligence adoption accelerates across Indian enterprises, the conversation is rapidly shifting from experimentation to execution. From GPU shortages and spiralling infrastructure costs to data sovereignty and energy efficiency, organisations and their channel partners are being forced to make far more nuanced decisions about AI infrastructure.

In an interaction with Vinay Chhabra, Co-founder and Managing Director of AceCloud (Real Time Data Services) the focus is clear: AI success will not come from chasing the biggest GPUs or the newest architectures, but from choosing the right infrastructure for the right workload, and preparing for a future shaped by agentic AI and inference-led demand.

One of the ...