Indian AI Firm Orders 9,000 Nvidia Vera Rubin Systems for $8B Buildout

Major AI Infrastructure Investment in India

AM Intelligence, a Hyderabad-based AI infrastructure company, has placed a binding order for 9,000 Nvidia Vera Rubin systems as part of an ambitious $8 billion plan to establish 1-gigawatt of computing capacity in India. The servers are scheduled to come online next year in southern India, according to a company statement released Tuesday.

The deployment positions AM Intelligence among the first adopters of Nvidia's advanced rack-scale computing platform in Asia. The company's customer base spans major cloud service providers, AI research labs, and organizations developing indigenous Indian AI models.

Supply Constraints Drive Strategic Positioning

The order comes amid persistent supply constraints for high-end Nvidia compute clusters. Demand from hyperscalers including Microsoft, Google, and Amazon to train large language models has created multiyear backlogs for the chipmaker's most advanced systems. Japan has similarly announced plans to acquire next-generation Rubin chips from Nvidia for a foundational AI model focused on robotics, with operations beginning in June 2028.

AM Intelligence's Hyderabad facility is designed to run trillion-parameter AI models and support next-generation agentic AI applications. The company plans to offer computing capacity across multiple markets, including India, the United States, Finland, and Malaysia.

Renewable Energy as Competitive Advantage

Mahesh Kolli, founder and president of Greenko Group—the renewable energy conglomerate that owns AM Intelligence—emphasized the company's access to low-cost renewable power as a key differentiator. "In global token economics, energy prices play a huge part," Kolli said in a video interview. "We're one of the lowest-cost AI computation infrastructure players globally."

Kolli noted that India faces minimal operational constraints for serving international customers, with undersea cable infrastructure enabling AI compute services to U.S. clients with approximately 300 milliseconds of latency. The initial capacity has already been purchased by an undisclosed U.S. customer, he confirmed.

The company plans to finance the buildout through a combination of debt and equity. Kolli pointed to the business model's favorable economics: "Capex to cash flow in this business is very short. We can partly support it via our balance sheet, plus we have experience tapping the bond market."

Why it matters

This order signals India's emergence as a significant player in global AI infrastructure, not just as a consumer but as a provider of computing capacity to international markets. The combination of competitive energy costs from renewable sources and strategic geographic positioning could reshape where companies choose to deploy AI workloads, particularly as supply constraints continue to challenge traditional data center hubs.

These details were first reported by Bloomberg.