AM Intelligence Labs plans 1 GW AI compute hub in Noida with OXMIQ as architecture partner

The facility will form the first phase of a 2 GW renewable-powered AI compute platform planned for India by 2030.

AM Intelligence Labs, the AI compute platform of AM Group, plans to build a 1 gigawatt (GW) AI high-performance compute hub in Noida, Uttar Pradesh.

The company has partnered with California-based GPU architecture and AI technology company OXMIQ Labs, which will serve as the architecture and engineering partner for the platform.

The project forms the first phase of a broader plan to build a 2 GW AI compute capability by 2030.

The Noida hub is currently in development, and the initial compute capacity is expected to come online by the end of 2027.

OXMIQ will work with AM Intelligence Labs on the system architecture, hardware roadmap and supply chain strategy required to build the large-scale AI infrastructure.

The company will also support the design of the platform’s compute systems and infrastructure to ensure the facility can run AI workloads at large scale.

OXMIQ Labs’ founder and CEO, Raja Koduri, said, "AM Intelligence 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 AM Intelligence 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,” Koduri added.

According to the companies, the platform will be designed as a vertically integrated AI infrastructure stack that combines energy, data centre infrastructure, compute systems and software.

The compute platform will be powered entirely by renewable energy supplied through the broader energy ecosystem of AM Group, which is the parent company of Greenko.

The companies said the infrastructure will be designed to deliver carbon-free energy for AI workloads while reducing the cost of data centre power compared with conventional facilities.

Improve efficiency and economics of AI compute at scale

The Noida AI hub will integrate multiple layers of infrastructure required for large-scale AI computing.

These include high-performance accelerators, rack-scale systems, interconnect networks, liquid cooling systems and orchestration software used to run AI workloads.

OXMIQ will contribute expertise across the compute stack, including GPU architecture, advanced packaging technologies, system design and software orchestration.

The architecture will optimise the entire infrastructure stack from power generation through data centre systems and compute infrastructure.

The companies said this approach is intended to improve the efficiency and economics of AI compute at scale.

The platform will also support flexible consumption models for enterprises and developers.

These include AI Pods-as-a-Service and Tokens-as-a-Service, allowing organisations to access AI compute capacity without building their own infrastructure.

According to the companies, India is emerging as a major market for AI workloads, driven by a large developer ecosystem, a rapidly expanding digital economy and growing enterprise adoption of artificial intelligence.

The companies said the Noida hub represents a key milestone in building large-scale AI infrastructure in the country as demand for compute capacity continues to increase.

Once completed, the platform is expected to support AI workloads at gigawatt scale while operating on renewable power infrastructure.