Sunil Gupta, MD & CEO of Yotta Data Services, said the company has already invested over $1.5 billion in infrastructure and plans to commit another $2 billion towards advanced chips. Along with debt financing, Yotta is raising equity through a pre-IPO round and aims to launch its IPO within the current financial year.
Yotta Data Services plans $1 billion fundraise to ramp up AI infrastructure, eyes IPO this year
Sunil Gupta, MD & CEO of Yotta Data Services, said the company has already invested over $1.5 billion in infrastructure and plans to commit another $2 billion towards advanced chips. Along with debt financing, Yotta is raising equity through a pre-IPO round and aims to launch its IPO within the current financial year.
By Parikshit Luthra
India’s artificial intelligence ambitions are gathering pace, and Yotta Data Services is preparing to scale up aggressively to meet the surge in demand. Speaking at the AI Impact Summit in New Delhi, Sunil Gupta, MD & CEO of Yotta Data Services, said the company is targeting a $1 billion fundraise to support a sharp expansion in AI infrastructure.
Gupta said, “I safely say that I would love to raise anywhere close to $1 billion and that is something which will take me through my current phase of GPU deployment. And I feel that with this GPU deployment and with the revenues which will get built with these investments, that will be enough for me to keep on sustaining more and more GPU additions in times to come.”
Yotta has already invested more than $1.5 billion in infrastructure and expects to commit an additional $2 billion towards advanced chips. Alongside debt financing, the company is raising equity capital through a pre-IPO round and aims to enter the public markets within this financial year.
On infrastructure, Yotta currently holds around 10,000 advanced NVIDIA GPUs, accounting for nearly 75% of India’s GPU compute capacity. However, Gupta stressed that this is only the beginning. As AI use cases move from pilot projects to full-scale deployment, India could require millions of GPUs in the coming years.
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Gupta said India’s AI push is focused on real-world impact, ensuring artificial intelligence benefits millions across agriculture, healthcare, education and climate. He believes India can replicate the transformational impact of UPI through multiple AI-led revolutions, especially by building models trained on Indian datasets and local languages.
Gupta also highlighted the importance of the government’s hybrid approach under the IndiaAI Mission, where the state acts as regulator, enabler and early-stage funder. He believes this model will help AI use cases become commercially viable and self-sustaining over time.
With infrastructure expansion underway and policy support strengthening, Yotta is positioning itself at the centre of India’s AI transformation.
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