Yotta Data Services is preparing to file draft papers for an Indian initial public offering as early as October, accelerating its capital-raising programme as artificial-intelligence workloads drive demand for domestic data centres, sovereign cloud platforms and graphics-processing capacity. The Hiranandani Group-backed company is targeting a public issue during the fourth quarter of the current financial year and has initially indicated that the offering could raise as much as $1.5 billion.
Co-founder, chief executive and managing director Sunil Gupta said Yotta has appointed its bankers and legal advisers, with preparatory work entering its final stages. The company is completing interim financial accounts through September before filing its draft red herring prospectus. The eventual IPO size could be reduced if Yotta secures sufficient capital from a concurrent pre-IPO round. Discussions are under way with approximately five private-equity investors, while the company raised about $150 million from family offices and high-net-worth individuals earlier in 2026.
Yotta does not intend to dilute more than 25% of its equity across the proposed transactions. A valuation of approximately $6 billion is under consideration, although the final issue structure and valuation will remain subject to the pre-IPO process, regulatory review and market conditions. The company’s infrastructure footprint includes data-centre and cloud facilities in Navi Mumbai, Noida and GIFT City in Gujarat. Its parent, Nidar Infrastructure, positions the business around hyperscale data centres, sovereign cloud services and AI compute infrastructure.
The fundraising programme is tied to a capital-intensive GPU deployment plan. Yotta is in the process of ordering 50,000 Nvidia Vera Rubin GPUs and 45,000 GB300 accelerators. The company estimates that the Vera Rubin systems, associated networking and supporting equipment would cost approximately $7.5 billion. A further $750 million could be required for physical data-centre construction. These plans have not yet been reflected in a filed offer document and remain forward-looking procurement and investment targets.
Yotta’s strategy combines conventional colocation capacity with access to high-density AI computing, including the power, cooling, networking and storage required to operate large GPU clusters. That model makes its financing requirements substantially larger than those of a data-centre operator focused solely on real estate and connectivity.
The planned listing comes as Indian operators increasingly turn to institutional and public capital to fund large campuses and compute deployments. India generates an estimated 20% of global data but currently houses about 3% of worldwide data-centre capacity. Yotta is seeking to use that gap, along with enterprise AI adoption and data-sovereignty requirements, as the foundation for a listed infrastructure platform.
