Blackstone backs Neysa in as much as $1.2B financing as India pushes to construct home AI infrastructure
Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private equity agency Blackstone because it scales home compute capability amid India’s push to construct homegrown AI capabilities.
Blackstone and co-investors, together with Academics’ Enterprise Development, TVS Capital, 360 ONE Property, and Nexus Enterprise Companions, have agreed to take a position of as much as $600 million of major fairness in Neysa, giving Blackstone a majority stake. Blackstone and Neysa instructed naijatrend. The Mumbai-headquartered startup additionally plans to boost an extra $600 million in debt financing because it expands GPU capability, a pointy improvement from the $50 million it had raised beforehand.
The deal comes as demand for AI computing surges globally, creating supply constraints for specialized chips and knowledge heart capability wanted to coach and run giant fashions. Newer AI-focused infrastructure suppliers—sometimes called “neo-clouds”—have emerged to bridge that hole by providing devoted GPU capability and quicker deployment than conventional hyperscalers, significantly for enterprises and AI labs with particular regulatory, latency, or customization necessities.
Neysa operates on this rising section, positioning itself as a supplier of personalized, GPU-first infrastructure for enterprises, authorities, businesses, and AI builders in India, where demand for native compute continues to be at an early, however quickly increasing, stage.
“Lots of clients need hand-holding, and lots of them need round-the-clock help with a 15-minute response and a few-hour resolution. And so these are the sorts of issues that we offer that a number of the hyperscalers don’t,” mentioned Neysa co-founder and CEO Sharad Sanghi.
Ganesh Mani, a senior managing director at Blackstone Non-Public Fairness, mentioned his agency estimates that India at present has fewer than 60,000 GPUs deployed—and it expects the determination to scale up almost 30 instances to greater than two million within the coming years.
That enlargement is being pushed by a mix of presidency demand, enterprises in regulated sectors similar to monetary companies and healthcare that have to hold knowledge native, and AI builders constructing fashions inside India, Mani told Naijatrend. International AI labs, a lot of which depend on India amongst their largest person bases, are additionally more and more seeking to deploy computing capability nearer to customers to cut back latency and meet knowledge necessities.
The funding additionally builds on Blackstone’s broader push into knowledge hubs and AI infrastructure globally. The agency has beforehand backed large-scale knowledge center platforms similar to QTS and AirTrunk, in addition to specialized AI infrastructure suppliers together with CoreWeave within the U.S. and Firmus in Australia.
Neysa develops and operates GPU-based AI infrastructure that allows enterprises, researchers, and public sector shoppers to coach, fine-tune, and deploy AI fashions domestically. The startup at present has about 1,200 GPUs residing and plans to sharply scale that capability, concentrating on deployments of greater than 20,000 GPUs over time as buyer demand accelerates.
“We’re seeing a requirement that we’re going to greater than triple our capability in the subsequent 12 months,” Sanghi mentioned. “A number of the conversations we’re having are at a reasonably superior stage; in the event that they undergo, then we may see it sooner rather than later. We may see within the subsequent 9 months.”
Sanghi instructed Naijatrend that the majority of the brand new capital will probably be used to deploy large-scale GPU clusters, together with compute, networking, and storage, whereas a smaller portion will go towards analysis and improvement and constructing out Neysa’s software program platforms for orchestration, observability, and safety.
Neysa’s goal is to more than triple its income in the subsequent 12 months as demand for AI workloads accelerates, with ambitions to develop past India over time, Sanghi mentioned. Founded in 2023, the startup employs 110 folks throughout workplaces in Mumbai, Bengaluru, and Chennai.
