Funding · AI & Deep Tech

Neysa raises $1.2B from Blackstone and others

By Startup Enthusiast · 16 February 2026

What they do

Neysa provides a GPU-based cloud platform for training and deploying AI workloads

Neysa secured $1.2B in this round ($600M equity led by Blackstone plus $600M debt) at a $1.4B valuation

The funds will deploy over 20,000 GPUs in India, aligning with the IndiaAI Mission

Neysa signed a definitive agreement on 16 February 2026 to raise $1.2 billion in total capital.
The round consists of $600 million in equity led by Blackstone along with co-investors, and $600 million in intended debt financing.
The enterprise valuation is reported at $1.4 billion.
Other equity investors include Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, and Nexus Ventures.
The company plans to use the funds to deploy over 20,000 GPUs in India.
It will also scale operations and deploy AI compute infrastructure across enterprise, government, and public services.
The announcement coincides with the India-AI Impact Summit 2026 in Delhi (16–20 February 2026).

Blackstone already has a portfolio of AI companies including OpenAI and Anthropic.
Blackstone has committed $6 billion for data centres in Maharashtra.
The IndiaAI Mission launched in 2024 aims to build AI ecosystem including GPU capacity.
India has 150+ native AI startups that raised over $1.5 billion since 2020.
The Indian AI market is expected to exceed $17 billion by 2030.

Neysa is an AI acceleration cloud platform that provides GPU-based cloud and AI infrastructure.
Its services support training, fine-tuning, and deploying AI workloads.
Customers include enterprises, government, public services, financial services, healthcare, and technology startups.
The company is headquartered in Mumbai, India and was founded in 2023.
Before this round, Neysa had raised a total of $50 million.

Deploy over 20,000 GPUs in India.
Scale operations and deploy AI compute infrastructure across enterprise, government, and public services.

Product: AI cloud infrastructure platform providing GPU-backed compute capacity and AI inference services
Customers: Large enterprises and organizations requiring substantial AI compute for training and inference
How it makes money: Infrastructure-as-a-Service model providing GPU computing resources and inference capabilities
What sets it apart: Fully deployed within India, competing against global hyperscalers with domestic infrastructure
Operations: Scaling infrastructure with planned deployment of over 20,000 GPUs across the country