OXMIQ Labs has entered into a strategic technology partnership with AM Intelligence Labs to help architect one of the world’s largest renewable-powered artificial intelligence compute platforms. The collaboration aims to build up to 2 gigawatts (GW) of AI compute capability by 2030, beginning with the development of a 1 GW AI High Performance Compute Hub in Noida, Uttar Pradesh.
AM Intelligence Labs operates as a strategic business division of AM Group, the parent organization of Greenko, one of India’s largest renewable energy producers. Greenko currently manages around 50 GW of renewable energy capacity across solar, wind, and hydro, supported by approximately 100 GWh of intelligent energy storage. The company supplies nearly 2% of India’s total power and offers carbon-free energy priced significantly lower than conventional data center power costs.
The partnership is expected to combine OXMIQ’s expertise in GPU architecture and AI systems engineering with AM Intelligence Labs’ large-scale energy and infrastructure capabilities. As part of the agreement, OXMIQ will act as the architecture and engineering partner for the platform, supporting system design, hardware architecture, and supply chain strategy.
India is rapidly emerging as a major hub in the global artificial intelligence economy. With a large developer community, a fast-growing digital economy, and expanding enterprise adoption of AI technologies, the country is increasingly becoming one of the largest markets worldwide for AI usage and token consumption.
Development of the project is already underway. AM Group has begun executing Phase 1 of its flagship AI infrastructure initiative, with the Noida Compute Hub currently in active development. The first phase is expected to bring initial compute capacity online by the end of 2027, marking a key milestone in the broader goal of creating a large-scale renewable-powered AI compute ecosystem.
The facility is being designed as a vertically integrated platform combining renewable power generation, advanced data center infrastructure, high-performance accelerators, and a complete software stack. The platform will also support multiple consumption models, including AI Pods-as-a-Service and Tokens-as-a-Service, allowing enterprises and developers to access AI computing resources through flexible service models.
Founded by veteran chip architect Raja Koduri, OXMIQ Labs brings extensive experience across the compute technology stack. The company’s expertise spans GPU architecture, advanced semiconductor packaging, rack-scale system design, high-speed interconnects, and orchestration software required for managing AI workloads at large scale.
Through this collaboration, the two organizations aim to optimize the entire AI infrastructure chain—from renewable energy generation to data center architecture, cooling systems, accelerator deployment, and workload orchestration. Technologies such as liquid cooling and high-performance networking are expected to play a critical role in maintaining efficiency as computing demand grows.
Koduri noted that large-scale AI infrastructure faces a major challenge in securing reliable and affordable power sources. By integrating compute architecture and renewable energy systems from the early design stages, the partnership aims to improve efficiency and reduce operational costs for AI computing.
AM Group Chairman Anil Chalamalasetty said the collaboration brings together deep hardware expertise and infrastructure capabilities required to build globally competitive AI platforms. He added that the initiative represents an important step in establishing AM Intelligence Labs as a full-stack AI compute platform.
