Pranav Hotkar
Lucknow, India - February 17, 2026 - AM Group has begun development of a USD 25 billion artificial-intelligence data center campus in Uttar Pradesh after receiving land allocation approval from the Yamuna Expressway Industrial Development Authority, marking one of the largest planned compute infrastructure projects in the country.
The company will build a one-gigawatt AI compute hub in the Greater Noida region designed to host hyperscalers, enterprises, and research workloads. The project spans roughly 289 acres and will be developed in phases, with about 350 megawatts expected to become operational around 2028 and the full 1 GW capacity targeted by 2030.
According to project details released alongside the land allocation, the campus is intended to support nearly 500,000 high-performance processors dedicated to AI training and inference tasks. The facility will be powered primarily by carbon-free energy sourced from solar, wind, and energy-storage systems, reflecting a growing industry push to pair compute expansion with sustainable power generation.
State officials said the development forms part of a broader strategy to position Uttar Pradesh as a major digital-infrastructure hub, particularly for sovereign and enterprise AI workloads that require large-scale domestic compute capacity. The location near the Yamuna Expressway corridor offers proximity to fiber routes and power infrastructure, key factors for hyperscale deployments.
Industry observers note that gigawatt-scale campuses represent a shift in data center design as artificial intelligence systems demand far greater electricity density and cooling performance than conventional cloud facilities. Rather than incremental capacity additions, operators are increasingly planning integrated campuses built around dedicated power resources and long-term expansion.
The AM Group project is structured as a vertically integrated platform combining energy supply, data center facilities, and AI computing services. Such integrated models aim to reduce operating cost volatility while ensuring reliable uptime for large training clusters operating continuously.
The announcement adds to a growing pipeline of large AI infrastructure projects across India as demand for local processing capacity rises due to data-localization requirements and enterprise adoption of generative-AI applications.
If completed on schedule, the campus would rank among the largest AI-focused data center developments in the region and significantly expand domestic compute availability for both commercial and research users.
