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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. non-public fairness agency Blackstone because it scales home compute capability amid India’s push to construct homegrown AI capabilities.

Blackstone and co-investors, together with Lecturers’ Enterprise Progress, TVS Capital, 360 ONE Property, and Nexus Enterprise Companions, have agreed to speculate as much as $600 million of main fairness in Neysa, giving Blackstone a majority stake, Blackstone and Neysa instructed TechCrunch. The Mumbai-headquartered startup additionally plans to boost an extra $600 million in debt financing because it expands GPU capability, a pointy enhance from the $50 million it had raised beforehand.

The deal comes as demand for AI computing surges globally, creating provide constraints for specialised chips and information middle capability wanted to coach and run giant fashions. Newer AI-focused infrastructure suppliers — typically known as “neo-clouds” — have emerged to bridge that hole by providing devoted GPU capability and sooner deployment than conventional hyperscalers, notably for enterprises and AI labs with particular regulatory, latency, or customisation necessities.

Neysa operates on this rising section, positioning itself as a supplier of personalized, GPU-first infrastructure for enterprises, authorities companies, and AI builders in India, the place demand for native compute continues to be at an early however quickly increasing stage.

“A variety of prospects need hand-holding, and loads of them need round the clock help with a 15-minute response and a few our resolutions. And so these are the sorts of issues that we offer that a number of the hyperscalers don’t,” stated Neysa co-founder and CEO Sharad Sanghi.

Nesya co-founder and CEO Sharad SanghiPicture Credit:Neysa

Ganesh Mani, a senior managing director at Blackstone Personal Fairness, stated his agency estimates that India at present has fewer than 60,000 GPUs deployed — and it expects the determine to scale up practically 30 occasions to greater than two million within the coming years.

That enlargement is being pushed by a mixture of presidency demand, enterprises in regulated sectors equivalent to monetary providers and healthcare that must preserve information native, and AI builders constructing fashions inside India, Mani instructed TechCrunch. World AI labs, a lot of which depend India amongst their largest consumer bases, are additionally more and more seeking to deploy computing capability nearer to customers to scale back latency and meet information necessities.

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The funding additionally builds on Blackstone’s broader push into information middle and AI infrastructure globally. The agency has beforehand backed large-scale information centre platforms equivalent to QTS and AirTrunk, in addition to specialised AI infrastructure suppliers together with CoreWeave within the U.S. and Firmus in Australia.

Neysa develops and operates GPU-based AI infrastructure that permits enterprises, researchers, and public sector shoppers to coach, fine-tune, and deploy AI fashions domestically. The startup at present has about 1,200 GPUs stay 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 subsequent 12 months,” Sanghi stated. “A number of the conversations we’re having are at a reasonably superior stage; in the event that they undergo, then we might see it sooner slightly than later. We might see within the subsequent 9 months.”

Sanghi instructed TechCrunch that the majority of the brand new capital might 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 goals to greater than triple its income subsequent 12 months as demand for AI workloads accelerates, with ambitions to broaden past India over time, Sanghi stated. Based in 2023, the startup employs 110 folks throughout places of work in Mumbai, Bengaluru, and Chennai.

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