OXMIQ Labs and AM Intelligence Labs to Build 2GW Renewable-Powered AI Compute Platform in India

Mar 16, 2026
OXMIQ Labs and AM Intelligence Labs have announced a partnership to develop one of the world’s largest renewable-powered AI compute platforms, targeting 2 gigawatts of capacity by 2030, with the first phase expected online in Noida, India, by 2027.

In a press release, OXMIQ Labs and AM Intelligence Labs announced a partnership to build one of the world’s largest renewable-powered AI compute platforms. The project aims to reach 2 gigawatts of AI compute capacity by 2030, with the first 1-gigawatt phase scheduled to go online in Noida, India, by 2027.

Under the partnership, OXMIQ Labs will serve as the architecture and engineering partner, designing the systems architecture, hardware roadmap, and supply chain strategy for the facility. The collaboration will integrate renewable energy generation, advanced data center infrastructure, and high-performance accelerators into a unified platform optimized for large-scale AI workloads.

AM Intelligence Labs, a division of AM Group, will leverage its renewable energy assets, which include 50 gigawatts of solar, wind, and hydro capacity supported by 100 gigawatt-hours of energy storage. The power supplied to the compute platform will be carbon-free and priced significantly below conventional data center energy costs.

The Noida AI High Performance Compute Hub will feature a vertically integrated design, spanning energy generation through to workload orchestration, with consumption models such as AI Pods-as-a-Service and Tokens-as-a-Service. The companies stated that the platform will deliver cost-efficient, large-scale AI compute infrastructure powered entirely by renewable energy.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.