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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,
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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
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AM Intelligence, the AI infrastructure arm of Greenko Group, has placed a binding order for 9,000 Nvidia Vera Rubin GPUs for its Hyderabad AI factory. The deployment, scheduled for Q1 2027, will create one of Asia's first frontier AI compute clusters as part of an $8 billion global investment plan.

AM Intelligence has placed a binding order for approximately 9,000 Nvidia Vera Rubin GPUs configured as Vera Rubin NVL72 rack-scale systems, marking a significant step in bringing frontier AI compute clusters to Asia
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. The order, scheduled for delivery in Q1 2027, will power the first 30-megawatts phase of the company's upcoming Hyderabad AI factory2
. This deployment represents the first tranche of AM Intelligence's ambitious plan to invest over $8 billion in building AI infrastructure globally1
.The Hyderabad AI factory is being engineered to support some of the world's most sophisticated trillion-parameter AI models and next-generation agentic AI applications
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. By integrating Nvidia Vera Rubin architecture with high-throughput RDMA over Converged Ethernet (RoCE) networking and advanced storage systems, the facility aims to deliver approximately 450 exaFLOPS of NVFP4 inference compute2
. The Vera Rubin NVL72 architecture introduces NVFP4, a new low-precision computing format, alongside next-generation HBM4 memory technology designed to reduce inference token costs by up to 10 times compared with the previous Nvidia Grace Blackwell generation1
.AM Intelligence is developing 5 gigawatts of AI data centers across India, the United States, and Europe, with facilities designed using liquid cooling to support high-density AI workloads and accommodate successive generations of AI chips
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. The company plans to bring 1 gigawatt of AI compute-as-a-service capacity online spanning India, the United States, Finland, and Malaysia, with an initial 200 megawatts of capacity coming to market in the near term2
. This infrastructure will serve a diverse ecosystem including hyperscalers, neo cloud providers, sovereign AI initiatives, frontier labs, AI natives, and local developer communities2
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AM Intelligence operates as the AI infrastructure arm of AM Group, founded by Greenko Group promoters Anil Chalamalasetty and Mahesh Kolli
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. Chalamalasetty explained the strategic vision: "For over two decades, we have focused on transforming electrons into value. Today, the electron-to-token opportunity allows us to take this capability further, converting power infrastructure into frontier AI compute at scale"1
. Greenko Group, backed by Singapore's GIC and Abu Dhabi Investment Authority (ADIA), operates approximately 11 gigawatts of installed renewable capacity across solar, wind, hydro, and energy storage1
. This expertise in building large-scale power assets positions AM Intelligence to deliver cost-competitive electron-to-token economics by integrating energy infrastructure with computing capacity required to train and run AI models2
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