Nvidia India MD Vishal Dhupar has stressed the need for spreading AI infrastructure beyond Bengaluru. In a recent interview with Fortune India, he highlighted how over-concentration in metro cities has left many regions technologically neglected. While tech hubs like Bengaluru attract talent and innovation, decentralisation, he believes, is key to inclusive development.

Dhupar envisions a future where “AI factories” emerge in multiple regions. These hubs would harness India’s cultural richness, data, and talent—transforming them into powerful AI solutions through robust computing infrastructure. Instead of limiting progress to a few cities, he urges the creation of regional centres that can empower local communities.

Currently, Bengaluru holds nearly one-third of Global Capability Centres and dominates India’s GenAI startup space. Yet, experts echo Dhupar’s call for dispersing this growth. According to BCG’s Nipun Kalra, expanding computing power into tier-2 and tier-3 cities can reduce latency and improve accessibility, while also supporting data sovereignty and regional inclusion.

By encouraging AI growth across states, India can tackle diverse challenges—from healthcare to agriculture—through locally trained AI models. This distributed model would also relieve urban congestion and generate employment nationwide.

Dhupar believes that India’s AI potential, backed by government policy, academic support, and thriving startups, could soon make the country an exporter of “manufactured intelligence.” Nvidia is actively training talent and backing startups, including initiatives to develop Indian language large language models.

If scaled right, India could become a global powerhouse of inclusive, intelligent innovation.