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Renewable Energy Powered AI Infrastructure Takes Shape in India as OXMIQ Labs and AM Intelligence Labs Plan Large Scale Compute Platform

The partnership targets 2 GW of AI compute capacity by 2030 with a 1 GW hub under development in Uttar Pradesh, Anil Chalamalasetty, Group Chairman of AM Group, said while outlining the platform’s global ambitions.

Large scale artificial intelligence infrastructure is increasingly tied to access to reliable and sustainable power, as companies around the world race to build computing capacity capable of supporting the next generation of AI workloads.
OXMIQ Labs has announced a strategic technology partnership with AM Intelligence Labs, a business division of AM Group, to develop one of the world’s largest renewable powered AI compute platforms. The initiative aims to deliver 2 gigawatts of AI compute capability by 2030, with the first phase focused on a 1 gigawatt high performance compute hub being developed in Uttar Pradesh, India.

AMI Labs operates as a strategic business division within AM Group, the parent organization of Greenko, one of India’s largest renewable energy producers. The company manages a renewable energy platform spanning solar, wind, and hydro resources with significant long duration storage capacity.
The collaboration will see OXMIQ Labs provide architecture and engineering advisory for the compute platform. The company will work with AMI Labs to design the system architecture, hardware roadmap, and supply chain framework supporting the facility’s deployment.

India’s rapidly expanding digital economy and growing developer ecosystem are driving demand for large scale artificial intelligence infrastructure. The country has emerged as one of the fastest growing markets for AI adoption and token consumption, creating new opportunities for high performance computing platforms capable of supporting enterprise and developer workloads.
AM Group has already begun development of its flagship AI infrastructure initiative, with Phase 1 of the Noida compute hub currently in execution. The first compute capacity is expected to come online by the end of 2027 as part of a broader effort to build one of the world’s largest renewable powered AI computing platforms.

The facility is designed as a vertically integrated system combining renewable power generation, data center infrastructure, high performance accelerators, software platforms, and application environments. The platform will support flexible consumption models ranging from AI Pods as a Service to Tokens as a Service.
OXMIQ Labs brings expertise across the entire computing stack, including GPU architecture, advanced chip packaging, rack scale systems, high performance interconnects, and orchestration software required for large scale AI workloads.

Anil Chalamalasetty, Group Chairman of AM Group, said, “OXMIQ gives AMI Labs access to some of the deepest hardware and systems expertise in the industry. Their team’s experience across leading Silicon Valley companies is exactly what we need to architect infrastructure that can compete globally. Together we are laying the foundation for AMI Labs to become a full stack AI compute platform.”
Raja Koduri, Founder and CEO of OXMIQ Labs, said, “AMI Labs is the ideal partner for OXMIQ. They have solved the hardest constraint in large scale AI infrastructure, access to reliable carbon free power at global scale. Our team has spent decades building silicon, systems, and software that power the world’s most advanced computing platforms. Bringing that expertise into AMI Labs’ infrastructure from the first architectural decisions means every rack, every interconnect, every storage and cooling system is designed around the workloads and economics required for the AI era.”
The platform is being designed to optimise every layer of the computing environment, from renewable energy generation and cooling systems to accelerator hardware and workload orchestration. According to the companies, this integrated approach is intended to deliver lower cost AI compute at gigawatt scale while maintaining carbon free energy usage.
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