OXMIQ Labs Partners AM Intelligence Labs to Build Renewable-Powered AI Compute Platform in India
The collaboration will support AM Intelligence Labs’ plan to build 2 gigawatts of AI compute capacity by 2030, beginning with an initial 1 GW AI compute hub in Uttar Pradesh.
Planned 2 GW AI infrastructure aims to combine large-scale computing with carbon-free energy
Hyderabad: OXMIQ Labs, a GPU architecture and AI technology company founded by Raja Koduri, has announced a strategic technology partnership with AM Intelligence Labs, a division of AM Group, to design and develop one of the world’s largest renewable-powered artificial intelligence compute platforms in India.
The collaboration will support AM Intelligence Labs’ plan to build 2 gigawatts of AI compute capacity by 2030, beginning with an initial 1 GW AI compute hub in Uttar Pradesh. The facility will form part of a broader effort to create a large-scale, energy-efficient infrastructure capable of supporting the rapidly expanding global demand for AI processing power.
AM Intelligence Labs operates under AM Group, the parent company of Greenko, one of India’s largest renewable energy producers. The group currently operates a renewable energy platform spanning solar, wind and hydro resources and is expanding energy storage capacity to support large industrial applications such as AI data centers.
Renewable energy to power large-scale AI infrastructure
According to the companies, the compute platform will be powered entirely by renewable energy generated and managed within the AM Group ecosystem. The energy infrastructure is expected to provide carbon-free electricity at costs 50% to 70% lower than conventional data center power, potentially making large-scale AI computing more economical.
The companies say this integrated approach will allow optimization across the entire technology stack — from power generation and cooling systems to high-performance accelerators and AI workloads.
Development of the project’s flagship AI infrastructure initiative has already begun, with the first phase of the Noida compute hub currently under execution. The initial compute capacity is expected to come online by the end of 2027, marking a key milestone in the project timeline.
OXMIQ to design architecture and hardware roadmap
Under the partnership, OXMIQ Labs will serve as the architecture and engineering partner for the AI compute platform. The company will work with AM Intelligence Labs on designing system architecture, defining the hardware roadmap and building supply chain strategies needed to deploy the infrastructure at scale.
OXMIQ brings expertise across the entire computing stack, including GPU architecture, advanced semiconductor packaging, rack-scale computing systems, high-performance interconnects and orchestration software used to manage large AI workloads.
The platform will also incorporate technologies such as liquid cooling systems, high-speed networking and optimized storage architectures designed for large-scale AI model training and inference.
Positioning India as a major AI compute hub
Industry analysts note that the project aligns with India’s rapidly expanding role in the global AI ecosystem. With one of the world’s largest developer communities and a fast-growing digital economy, India is emerging as a major market for AI applications and computational demand.
By building gigawatt-scale AI compute infrastructure supported by renewable energy, the initiative could position India as a competitive destination for AI training, inference and cloud-based AI services.
Leaders highlight strategic partnership
Anil Chalamalasetty, group chairman of AM Group, said the collaboration brings together expertise in both energy infrastructure and advanced computing.
“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,” he said.
Raja Koduri, founder and chief executive of OXMIQ Labs, said access to reliable renewable power is a critical factor in scaling AI infrastructure.
“AMI Labs has solved one of the hardest constraints in large-scale AI infrastructure — access to reliable, carbon-free power at global scale. Designing infrastructure around those capabilities from the start allows every system component to be optimized for the economics of the AI era,” he said.
Integrated platform for the AI economy
The companies plan to build the compute platform as a vertically integrated system that combines renewable energy generation, advanced data center infrastructure, high-performance accelerators and software services.
The platform will support flexible consumption models including AI Pods-as-a-Service and Tokens-as-a-Service, enabling enterprises to access large-scale AI computing resources on demand.
If completed as planned, the project could represent one of the largest renewable-powered AI infrastructure initiatives globally, linking India’s expanding clean energy capacity with the rapidly growing demand for AI computing resources.
