AM Intelligence, a Hyderabad-based artificial intelligence infrastructure firm owned by the founders of Indian renewable energy company Greenko, is planning to raise up to $3 billion through bond issues and bank loans to purchase Nvidia Corp's next-generation Rubin graphics processing units [1]. According to Bloomberg, the company claims to be among the "largest committed buyers" of Rubin GPUs outside of North America and expects to receive $300 million in advance payment from potential offtakers [1].
The company plans to invest $6 billion total to establish 100 MW of computing power split across data centers in Malaysia and India, requiring a total of 29,000 Nvidia Rubin chips [1]. AM Intelligence has announced ambitious expansion plans, targeting 300 MW of additional capacity within the next 15 months with investments exceeding $20 billion, and aims to develop 5 GW of AI data centers and 1 GW of compute-as-a-service across India, the U.S., and Europe, with 400 MW of compute capacity planned within two years [1].
This move reflects a broader trend in India's energy sector, where companies including Adani Group, Reliance, and Tata Power are transitioning into "neocloud companies" by establishing data centers with leased computing power [1]. According to Neil Shah, vice president at Counterpoint Research, Nvidia's Rubin GPUs are specifically tailored for agentic AI and will provide AM Intelligence with a first-mover advantage in India, as enterprises are expected to shift focus toward "running low-latency production agents" rather than foundational model training by next year [1]. This development signals strong demand for Nvidia's advanced chip architecture in the Asia-Pacific region and demonstrates the growing infrastructure investment required to support enterprise AI deployment.
CONCLUSION
AM Intelligence's $3 billion debt raise for Nvidia Rubin GPU purchases underscores robust demand for advanced AI infrastructure in India and positions Nvidia for significant revenue from the Asia-Pacific region. The company's aggressive expansion plans—targeting $20+ billion in investments over 15 months—indicate substantial market confidence in AI compute-as-a-service offerings and suggest Nvidia's next-generation chips will play a critical role in enterprise AI deployment across Asia.