Nvidia to power India’s AI factories with tens of thousands of AI chips

To benefit Indian companies and their customers

Analysts suggest that this move could grant Indian companies, government, academic institutions, and startups better access to AI resources, emphasizing the importance of making these tools available to the broader Indian ecosystem.

“Until now, there was a shortage of chips, and priority was given to bigger companies and major service providers who work with larger firms,” said Pareekh Jain, CEO of Pareekh Consulting. “This investment in providers like Yotta, cloud services like E2E, and infrastructure providers like Tata Communications and Netweb aims to democratize AI in India, especially for government research institutes, startups, and smaller Indian enterprises.”

Yotta, a data center operator, is expanding AI capabilities in India with its Shakti Cloud platform, powered by Nvidia Hopper GPUs and AI Enterprise software, Nvidia said.

“At the technology level, Yotta’s AI infrastructure will, for the first time in India, house the world’s leading compute, connectivity, storage, and networking technologies at scale, making them available in a funnel format for public, academic, R&D, and enterprise applications—resources that no individual user could afford on their own,” said Danish Faruqui, CEO of Fab Economics.

Tata Communications is rolling out Nvidia Hopper GPUs on a large scale to enhance its public cloud infrastructure, supporting diverse AI applications. The company plans to introduce Nvidia Blackwell GPUs next year to further boost AI performance.

E2E Networks is extending its reach to enterprises in India, the Middle East, Asia-Pacific, and the US with GPU-powered cloud servers optimized for high-performance tasks. Netweb is enhancing its AI offerings with an expansion of Tyrone AI systems, targeting enterprises and supercomputing centers in India and across Asia.