Yotta raises $150 million at $3.9 billion valuation to fund AI infrastructure expansion

Yotta Data Services, a subsidiary of Hiranandani group, has raised around $150 million from non-institutional investors at a valuation of around $3.9 billion or Rs 37,000 crore, as the centre company is looking to accelerate expansion of its artificial intelligence and cloud businesses.

The capital raise, completed over the past few months, involved no promoter offer-for-sale, with the entire proceeds being infused into the business to support growth, the company said in a statement on Monday.

The funding comes as demand for AI computing infrastructure continues to surge globally, prompting data centre operators and cloud infrastructure providers to ramp up investments in Graphics Processing Units (GPUs) capacity and sovereign cloud platforms.


“Our pre-IPO and IPO roadmap continues to progress as planned, and we remain encouraged by the strong interest from investors who believe in Yotta’s long-term vision and execution capabilities,” the statement added.

The company expects to scale its AI cloud capacity to more than 40,000 NVIDIA Blackwell GPUs over the next four months and to around 85,000 GPUs by the end of the 2026-27 financial year. The planned expansion would position Yotta among the world's largest AI compute platform operators outside the US and China.

"Our valuation philosophy is anchored in business fundamentals, long-term contracted revenues and execution visibility, rather than market sentiment. As we continue to add AI infrastructure capacity, secure new long-term customer commitments across India and global markets, and execute on our growth roadmap, we believe we will continue creating significant long-term shareholder value," the company said.

Yotta said it continues to expand its AI infrastructure, sovereign cloud, cloud and managed services, and data centre businesses while serving sovereign cloud projects and AI initiatives in India. It is also increasing its engagement with global AI model developers and inference providers as it seeks to position India as a producer of AI infrastructure and intelligence rather than only a consumer.