India’s AI push shifts from GPUs to full power and cooling stack

This column is notable because it reflects how quickly India’s AI conversation has matured. The debate is no longer about whether the country can attract GPUs; it is about whether those GPUs sit in facilities with enough reliable power, cooling and network bandwidth to deliver usable AI services at scale. That is exactly the bottleneck frontier labs in the US and Europe are grappling with, and seeing it surfaced in mainstream Indian press shows how seriously policymakers and domestic vendors are taking AI infrastructure.

Strategically, the piece positions India to compete not by outspending the US or China on chips, but by building an integrated stack that makes each GPU hour more productive. If India can align grid upgrades, renewable build‑out, land use, fibre and data‑centre design on a common planning horizon, it can offer sovereign and commercial AI users a cheaper, more stable base for training and inference. That could make India a preferred hub for regional AI workloads, even when it does not control the most advanced fabs.

For the AGI race, dense, efficient infrastructure in India increases the global pool of locations where very large runs and agentic deployments can be hosted. It also creates a constituency of domestic firms, like Netweb Technologies, whose commercial success hinges on sustaining and scaling that infrastructure, deepening India’s long‑term commitment to remain in the game.