AM Intelligence Orders 9,000 Nvidia Vera Rubin GPUs for Hyderabad AI Factory in $8 Billion Push

Greeko's AM Intelligence orders 9,000 Nvidia Vera Rubin GPUs for Hyderabad AI factory

The order comprising 9,000 Vera Rubin NVL72 rack-scale systems is scheduled for delivery in the first quarter of 2027 and will power the first 30 megawatts phase of AMI's upcoming AI factory in Hyderabad. AM Intelligence (AMI), the AI infrastructure arm of AM Group founded by Greenko's promoters, plans to invest over $8 billion to build AI compute infrastructure globally and has placed its first order for Nvidia's latest Vera Rubin superchips. The order comprising 9,000 Vera Rubin NVL72 rack-scale systems is scheduled for delivery in the first quarter of 2027 and will power the first 30 megawatts phase of AMI's upcoming AI factory in Hyderabad. The company said the deployment will make the site one of the first frontier AI compute clusters in Asia. The Hyderabad project is the first tranche of AMI's planned 1 gigawatt compute-as-a-Service platform spanning India, the United States, Finland and Malaysia. The company plans to bring an initial 200 megawatts of AI compute capacity online in the near term. AM Intelligence is part of AM Group, which is building businesses across three pillars: Greenko for renewable energy ("intelligent electrons"), AM Green for green fuels and ammonia exports, and AM Intelligence for AI infrastructure. "For over two decades, we have focused on transforming electrons into value," said Anil Chalamalasetty, chairman of AM Intelligence. "Today, the electron-to-token opportunity allows us to take this capability further, converting power infrastructure into frontier AI compute at scale. Bringing latest generation Nvidia Vera Rubin to India marks the next step in this journey and establishes AMI at the forefront of the emerging AI electron-to-token economy." According to the company, the Hyderabad AI factory will integrate Nvidia's Vera Rubin architecture to support trillion-parameter AI models and is designed to reduce AI inference token costs by up to 10 times compared with the previous Nvidia Grace Blackwell generation. Beyond Hyderabad, AMI said it is developing 5 gigawatts of AI data centres across India, the United States and Europe, alongside 1 gigawatt of compute-as-a-Service capacity. The facilities are being designed with liquid cooling to support high-density AI workloads and future generations of AI chips. The AI venture marks Greenko founders Anil Chalamalasetty and Mahesh Kolli's expansion beyond renewable energy into AI infrastructure, leveraging the group's expertise in building large-scale power assets. Greenko is one of India's largest clean energy companies with around 11 GW of installed renewable capacity across solar, wind, hydro and energy storage. Backed by investors including Singapore's sovereign wealth fund GIC and Abu Dhabi Investment Authority (ADIA), Greenko has emerged as a key player in India's energy transition by combining renewable generation with large-scale energy storage.

AM Intelligence to Deploy One of Asia's First NVIDIA Vera Rubin Clusters, Bringing Frontier AI Compute to India

AMI has placed binding order for ~9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems in its first AI Factory in Hyderabad, part of its 1 GW compute capacity globally AM Intelligence is striving to become the World's leading, intelligence infrastructure company, powering the AI economy through vertically integrated energy, compute and innovation. AMI today announced first step towards this vision by placing a firm and binding order for Vera Rubin delivery in Q1 2027 at its first AI factory in Hyderabad. The order covers 9,000 NVIDIA Rubin GPUs deployed as Vera Rubin NVL72 rack-scale systems for the 30 MW of capacity and will make AMI's Hyderabad AI Factory as one of the first frontier AI compute clusters in Asia. The Hyderabad facility will be the first tranche of AMI's planned 1 GW of Compute-as-a-Service capacity across India, the United States, Finland and Malaysia. AMI plans to bring an initial 200 megawatts (MW) of capacity to market in the near term, involving capital expenditure of more than USD 8 billion. Anil Chalamalasetty, Chairman, AM Intelligence, said: "For over two decades, we have focused on transforming electrons into value -- addressing critical and emerging societal needs. Today, the electron-to-token opportunity allows us to take this capability further, converting power infrastructure into frontier AI compute at scale. Bringing latest generation NVIDIA Vera Rubin to India marks the next step in this journey and establishes AMI at the forefront of the emerging AI electron-to-token economy." By integrating NVIDIA Vera Rubin architecture with high-throughput RDMA over Converged Ethernet (RoCE) networking for fast, efficient data movement, and advanced storage systems, the Hyderabad AI Factory is being designed to run some of the world's largest and most sophisticated AI models, including trillion-parameter models and next-generation agentic AI applications. NVIDIA Vera Rubin NVL72 introduces NVFP4, a new low-precision computing format designed to run AI workloads more efficiently, alongside next-generation High Bandwidth Memory (HBM4). The architecture is designed to reduce AI inference token-serving costs by up to 10 times compared with the preceding NVIDIA Grace Blackwell generation. AMI's Hyderabad AI Factory is being engineered to deliver approximately 450 exaFLOPS of NVFP4 inference compute, providing massive computing capacity for running advanced AI models at scale. AMI: Building Toward 5 Gigawatts Over the last two decades, our focus has been on electron valorisation, creating progressively greater value from energy across energy management, molecules and metals, and now AI tokens, the units of information processed and generated by AI models. This end-to-end approach has been central to our philosophy of addressing critical and emerging societal needs. Today, intelligence has reached the status of permeating humankind's lives on a daily basis. AMI, as a strategic builder of long-term heavy assets, will leverage its unique power solutions, capex advantage and access to next-generation NVIDIA AI infrastructure to deliver highly cost-competitive electron-to-token economics by integrating energy infrastructure with the computing capacity required to train and run AI models. This will enable wider deployment of AI with a collaborative service offering spanning across hyperscalers, neo cloud providers, sovereign AI initiatives, frontier labs, AI natives and local developer communities. AMI is developing 5 GW of powered AI data centres across India, the United States and Europe. These facilities are being designed for high-density AI computing, using liquid cooling to manage the significant power and heat requirements of advanced AI chips, while allowing the infrastructure to accommodate successive generations of AI silicon. AMI also intends to bring 1 GW of Compute-as-a-Service capacity to global AI workloads with initial capacity of 200 MW coming online in short-term.