India AI Data Center Firm AM Intelligence Orders 9,000 Nvidia Vera Rubin Systems

AM Intelligence, an Indian AI infrastructure company, has placed a binding order for 9,000 Nvidia Corp. Vera Rubin systems, positioning itself as one of the first adopters of the advanced computing platform in Asia. The Hyderabad-based firm announced the purchase on Tuesday, with servers equipped with the rack-scale systems expected to come online next year in southern India.

The order is part of a broader $8-billion plan by AM Intelligence to establish 1 gigawatt of computing capacity. The company, which is part of the group that owns renewable energy producer Greenko Group Plc, said its Hyderabad facility is designed to run trillion-parameter AI models and next-generation agentic AI applications. Customers include major cloud-service providers, AI labs, and organizations working to develop homegrown Indian AI models.

Demand for high-end Nvidia compute clusters remains tight, with data centers and major technology firms such as Microsoft Corp., Alphabet Inc.'s Google, and Amazon.com Inc. facing multiyear backlogs in their efforts to train AI models. Japan is also planning to procure next-generation Rubin chips from Nvidia to build a domestic foundational AI model for robotics, with its first data center slated to begin operations in June 2028.

Mahesh Kolli, founder and president of Greenko Group, said in a video interview that the group will offer computing capacity at competitive prices to customers in India, the US, Finland, and Malaysia. The initial capacity has already been purchased by a US customer, though Kolli declined to identify the buyer due to a non-disclosure agreement. "Customers are hunting desperately for capacity," he said, adding that India faces few operational constraints because undersea cables allow US companies to use AI compute with latency of about 300 milliseconds.

Kolli emphasized that AM Intelligence's competitive edge lies in the group's access to low-cost renewable power. "In global token economics, energy prices play a huge part," he said. "We're one of the lowest-cost AI computation infrastructure players globally."

The group plans to fund the proposed buildout with a mix of debt and equity. "Capex to cash flow in this business is very short," Kolli said. "We can partly support it via our balance sheet, plus we have experience tapping the bond market." The move underscores a broader trend of AI infrastructure providers leveraging energy advantages and capital markets to scale up rapidly in a supply-constrained environment.