By Priyanka Salve
Publication Date: 2026-02-27 05:54:00
Nvidia H100 chips inside a server room at the Yotta Data Services Pvt. data center, in Navi Mumbai, India, March 14, 2024.
Dhiraj Singh | Bloomberg | Getty Images
India’s Yotta Data Services, which is building a $2 billion artificial intelligence hub using Nvidia‘s chips, said demand for graphic processing units in the country is exceeding supply as domestic AI models prepare to scale and the local user base surges.
At present, India trails the U.S. and China in the race to develop a native AI foundational model and lacks large domestic AI infrastructure. That is beginning to shift.
Last week, during the India AI summit, a few Indian companies launched early or limited versions of their AI models, such as Sarvam AI’s Indus chatbot.
“We’re gradually rolling out Indus on a limited compute capacity, so you may hit a waitlist at first. We will expand access over time,” Pratyush Kumar, co-founder of Sarvam AI, said in a post on X.
Most Indian AI models launched at the AI summit were trained on Nvidia’s GPUs hosted in Yotta’s facilities, Sunil Gupta, co-founder, managing director and CEO of the company told CNBC’s Inside India on Thursday.
The Mumbai-based data center company, which began sourcing Nvidia GPUs in 2023, now owns 60% to 70% of India’s GPU capacity, Gupta said. He added that demand is also expected to come from global AI companies as their user base in India expands.
Push for more data centers
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