Blackstone backs Neysa in up to $1.2B financing as India pushes to build domestic AI infrastructure

Source: TechCrunch

Overview

Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private‑equity firm Blackstone as it scales domestic compute capacity amid India’s push to build home‑grown AI capabilities.

Funding Details

• Primary equity: Up to $600 million from Blackstone and co‑investors (Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, Nexus Venture Partners). Blackstone will hold a majority stake.
• Debt financing: An additional $600 million is planned to expand GPU capacity, a sharp increase from the $50 million raised previously.

The capital will be used to deploy large‑scale GPU clusters, including compute, networking, storage, and to fund R&D and software platforms for orchestration, observability, and security.

Market Context

Demand for AI computing is surging globally, creating supply constraints for specialized chips and data‑center capacity needed to train and run large models.

• Supply constraints: Specialized chip shortages and limited data‑center capacity (Goldman Sachs analysis).
• Emerging “neo‑clouds”: New AI‑focused infrastructure providers—often called “neo‑clouds” (McKinsey)—offer dedicated GPU capacity and faster deployment than traditional hyperscalers, catering to enterprises and AI labs with regulatory, latency, or customization requirements.

Neysa’s Offering

Neysa operates in this emerging segment, positioning itself as a provider of customized, GPU‑first infrastructure for enterprises, government agencies, and AI developers in India, where demand for local compute is still early but rapidly expanding.

“A lot of customers want hand‑holding, and a lot of them want round‑the‑clock support with a 15‑minute response and a couple of our resolutions. Those are the kinds of things that we provide that some of the hyperscalers don’t,” — Sharad Sanghi, co‑founder and CEO.

Scale Projections

• Current capacity: ~1,200 GPUs live.
• Target capacity: >20,000 GPUs over time.
• Growth outlook: “We are seeing a demand that we are going to more than triple our capacity next year… we could see it in the next nine months,” said Sanghi.

Blackstone’s AI Infrastructure Strategy

Ganesh Mani, senior managing director at Blackstone Private Equity, estimates India currently has fewer than 60,000 GPUs deployed and expects the figure to scale up nearly 30 times to more than two million in the coming years.

The expansion is driven by:

• Government demand.
• Regulated sectors (financial services, healthcare) needing local data storage.
• AI developers building models within India.
• Global AI labs seeking lower latency and compliance by deploying capacity closer to Indian users.

Blackstone’s broader push includes prior investments in large‑scale data‑center platforms such as QTS and AirTrunk, as well as specialized AI infrastructure providers like CoreWeave (U.S.) and Firmus (Australia).

Neysa’s Business Outlook

• Revenue goal: More than triple next year as AI workload demand accelerates.
• Geographic ambition: Expand beyond India over time.
• Team: Founded in 2023; 110 employees across Mumbai, Bengaluru, and Chennai.