Building Sovereign AI Infrastructure
AM Intelligence to Deploy 9,000 Nvidia Vera Rubin Systems for India AI Infrastructure
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Key Points
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Japan plans to buy the next-generation Nvidia Vera Rubin chips to build a homegrown foundational AI model for robots, with the first data center expected to begin operating in June 2028.
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Greater Noida's green-powered AI and high-performance computing hub is a separate project worth about $25 billion and is expected to reach around 350 MW of capacity by 2028.
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AMI is targeting near-term market introduction of 200 MW of capacity in India, in addition to the Hyderabad facility’s initial 30 MW, as part of its plan to deploy 1 GW of Compute-as-a-Service capacity.
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NVIDIA Vera Rubin NVL72’s architecture includes NVFP4 low-precision computing and High Bandwidth Memory 4 (HBM4), with rack-scale integration designed for large AI workloads.
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Undersea cables contribute to an estimated latency of about 300 milliseconds between the US and India, enabling US-based buyers to access AI compute capacity in India with relatively low latency.
AM Intelligence has ordered 9,000 Nvidia Vera Rubin NVL72 systems for a massive AI factory in Hyderabad, India, according to CryptoBriefing. The order marks one of India's largest AI infrastructure purchases and represents the company's first major deployment of the next-generation chips, scheduled for delivery by early 2027.
The move is part of AM Intelligence's ambitious $8 billion Compute-as-a-Service plan to deploy 1 GW of computing power across India, the US, Finland, and Malaysia, according to GuruFocus. The Hyderabad facility will start with a 30 MW phase, positioning India to reduce reliance on overseas cloud providers and build domestic AI infrastructure.
Vera Rubin's Advanced Design Powers Trillion-Parameter Models
Nvidia's Vera Rubin NVL72 is a rack-scale system built for massive AI workloads. According to CryptoBriefing, the chip includes NVFP4 low-precision computing and High Bandwidth Memory 4 (HBM4) technology. This architecture allows the systems to run trillion-parameter AI models and advanced agentic AI applications at scale.
The on-rack design and high-throughput networking make the Vera Rubin ideal for processing huge amounts of data efficiently. For AM Intelligence, these capabilities are central to turning energy infrastructure into frontier AI compute. The company plans to leverage Greenko's renewable power background to keep costs low.
India's Push to Build Sovereign AI Capabilities
AM Intelligence's Hyderabad facility aligns with India's broader ambitions to develop homegrown AI infrastructure. PressInsider notes the order represents one of India's largest announced GPU purchases. Beyond Hyderabad, GuruFocus reports AM Group is building a separate $25 billion, 1 GW green-powered hub in Greater Noida, expected to reach around 350 MW by 2028.
The company is targeting 200 MW of near-term capacity additions in India alongside the initial 30 MW Hyderabad phase. By 2030, GuruFocus reports AM Intelligence plans to expand total capacity to 5 GW. This strategy reduces India's dependence on US and overseas cloud providers for critical AI compute power.
Global Expansion and Competitive Positioning
AM Intelligence's 1 GW deployment plan extends beyond India to the US, Finland, and Malaysia, according to CryptoBriefing. This geographic diversity allows the company to serve customers globally while maintaining cost advantages through renewable energy. Bloomberg confirms the order positions AM Intelligence as one of the first major adopters of the Vera Rubin architecture.
Undersea cables enable relatively low latency between the US and India—about 300 milliseconds—allowing US-based buyers to access Indian AI compute capacity efficiently. This timing matters: Japan is also moving fast, planning to buy Vera Rubin chips to build foundational AI models for robots, with its first data center expected to begin operating in June 2028.
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