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India's Yotta targets Jan-March 2027 IPO, seeks up to $1.5 billion amid AI boom
Sept 2 (Reuters) - Indian data centre operator Yotta Data Services plans to launch an IPO in the January-March quarter of 2027, CEO Sunil Gupta told Reuters, as it seeks to capitalise on booming demand for AI computing infrastructure. The Hiranandani Group-backed firm is looking to file draft IPO
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Yotta targets Jan-March 2027 IPO, seeks up to $1.5 billion amid AI boom
Yotta Data Services is gearing up for an initial public offering scheduled for early 2027, aiming to secure as much as $1.5 billion to settle debts and enhance their infrastructure. This strategic move taps into the surging demand for AI computing infrastructure seen across India. A noteworthy
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Yotta Data Services, India's largest Nvidia-powered AI computing provider, plans a January-March 2027 IPO targeting up to $1.5 billion. The Hiranandani Group-backed firm will file draft papers in October to fund debt repayment, GPU purchases, and sovereign cloud expansion as global clients drive 75-80% of revenue.
Yotta Data Services plans to launch its IPO in the January-March quarter of 2027, aiming to raise up to $1.5 billion as demand for AI computing infrastructure surges across India
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. CEO Sunil Gupta revealed that the Hiranandani Group-backed firm intends to file draft IPO papers in October, though the final IPO portion may be smaller than originally planned2
. This adjustment comes as Yotta is currently raising pre-IPO capital, with much of its fundraising target already secured. Last month, Gupta announced on LinkedIn that Yotta had raised $150 million in primary growth capital at a valuation of approximately 370 billion rupees, equivalent to $3.9 billion1
.The Indian data center operator plans to deploy the raised capital across three critical areas: repaying existing debt, purchasing graphics processing units, and expanding sovereign cloud infrastructure that ensures data remains within national borders
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. This strategic focus reflects the broader trend among data center operators who are increasingly turning to public markets as rising GPU costs and strong demand for computing capacity drive up capital requirements. Yotta positions itself as India's largest provider of Nvidia-powered AI computing infrastructure, capitalizing on the AI boom that has transformed global technology landscapes2
.Gupta emphasized that India is becoming an increasingly attractive destination for AI infrastructure investment as power constraints and GPU shortages slow expansion in the United States and Europe
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. Geopolitical uncertainties in the Middle East further enhance India's appeal as a stable location for AI computing infrastructure development. "India is again coming to be a big green market for everybody," Gupta stated, highlighting the country's growing prominence in the global AI infrastructure landscape2
. The timing aligns with global tech giants including Google and Amazon expanding their presence in India, recognizing the country's potential as a critical hub for AI infrastructure expansion.Related Stories
Yotta's business model demonstrates strong international appeal, with global clients accounting for 75-80% of the company's customer base
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. This substantial global customer base has been significantly strengthened by a 20-year tax holiday announced by the Indian government in February for foreign firms using local data centers2
. The tax holiday has boosted confidence among overseas customers, making India's data center market more competitive on the global stage. This policy initiative positions Indian data center operators like Yotta to capture a larger share of international AI workloads while offering cost advantages to multinational corporations.To address the capital-intensive nature of GPU purchases, Yotta is exploring innovative financing structures that could reshape how data center operators acquire critical AI hardware
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. Under these arrangements, partners would purchase GPUs through special-purpose vehicles, share revenue generated by the chips, and eventually transfer ownership to Yotta after four to five years. This creative approach to financing could provide a blueprint for other operators facing similar capital constraints while maintaining the ability to scale AI computing infrastructure rapidly. Such structures may become increasingly important as the AI boom continues to drive demand for computing capacity beyond traditional financing capabilities.Summarized by
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