AM Group Launches ₹2 Lakh Crore AI Compute Hub in Uttar Pradesh; 1 GW Capacity, $25 Billion Investment Targeted by 2030
AM AI Labs, an affiliate of AM Group, has received a letter of intent from the Yamuna Expressway Industrial Development Authority for allocation of land parcels to establish the first two phases of the project — 150 MW and 200 MW respectively — forming part of the cumulative 1 GW AI compute hub.
Noida: AM Group has commenced development of a gigawatt-scale AI and high-performance computing hub in Uttar Pradesh, marking one of the largest infrastructure investments in India’s digital sector to date. The project targets 1 GW of AI compute capacity by 2030, translating into an estimated $25 billion (over ₹2 lakh crore) investment and deployment of around 500,000 high-performance chips.
AM AI Labs, an affiliate of AM Group, has received a letter of intent from the Yamuna Expressway Industrial Development Authority for allocation of land parcels to establish the first two phases of the project — 150 MW and 200 MW respectively — forming part of the cumulative 1 GW AI compute hub.
The initiative follows a memorandum of understanding signed with Invest UP, Government of Uttar Pradesh, at Davos in January 2026 to establish the high-performance compute facility.
350 MW by 2028, Full 1 GW by 2030
The company plans to bring 350 MW of compute capacity online by 2028, with the full 1 GW operational by 2030. The scale of the project is expected to position Uttar Pradesh as a premier AI infrastructure destination, attract significant foreign direct investment and generate thousands of high-skilled jobs.
AM Group said the platform is designed to be fully vertically integrated — spanning owned carbon-free power, data centre infrastructure, high-performance chips, a complete software stack, AI applications and flexible consumption models ranging from AI Pods-as-a-Service to Tokens-as-a-Service.
Carbon-Free Power and “Photon-to-Token” Optimization
A key differentiator of the project is its energy backbone. The AI hub will run on firm, on-demand carbon-free power enabled by renewables and pumped storage assets managed through an in-house intelligent cloud energy architecture.
The company described its approach as “optimized from photon to token,” integrating energy generation, data centre design, liquid cooling systems, interconnect topology, accelerator selection and software stack engineering to deliver competitive “electrons-to-tokens” economics.
India is currently the second-largest AI tokens consumption market, and AM AI Labs aims to serve both domestic and global markets for AI training, inference and advanced applications using domestically generated AI tokens.
Full-Stack AI Platform
AMG AI Labs has developed a full-stack AI platform covering the entire lifecycle from model training to production inference. The software stack includes provisioning, orchestration, virtualization, inference and training frameworks, security, networking, compliance and storage management.
The architecture is accelerator-agnostic, supporting GPUs and other processors. The leadership team brings over 300 years of combined experience in GPUs and AI stack development from global technology companies including Apple, AMD, NVIDIA, Cisco and Intel.
Leadership Perspective
Anil Chalamalasetty, Group Chairman, AM Group, described the project as “enormously ambitious,” drawing parallels with the group’s earlier work in green hydrogen and ammonia.
“Our goal is to deliver the lowest cost, most efficient AI tokens on the planet, powered by clean energy we own and operate. By integrating the full value chain from power generation through silicon to token delivery, we can optimize across layers in ways that no single segment player can. Uttar Pradesh and India deserve world class AI infrastructure, and with the support of the State Government, we are building it,” he said.
About AM Group
AM Group is promoted by the founders of Greenko Group, one of India’s leading renewable energy conglomerates. Through Greenko Energy Holdings, the group operates a 12 GW energy infrastructure platform across more than 20 states and plans to scale to 50 GW by 2030, alongside building a 100 GWh interconnected energy storage solution.
The AI compute hub aligns with India’s Viksit Bharat 2047 vision and signals a strategic convergence of clean energy and artificial intelligence infrastructure at gigawatt scale.
