PowerBank Corporation has signed a Letter of Intent with Nodiac Corp. to explore deploying modular data centers alongside renewable energy assets across North America. The agreement outlines a framework for integrating distributed AI compute infrastructure at PowerBank’s existing portfolio of solar and Battery Energy Storage System (BESS) sites. The collaboration aims to accelerate the deployment of AI infrastructure while leveraging clean energy sources.
Nodiac’s “Speed-to-Power” platform is designed to address one of the biggest challenges in AI infrastructure development limited access to grid capacity. Instead of waiting years for new power connections, the company focuses on co-locating modular data centers at sites that already have power generation, land, and necessary permits. This approach enables AI workloads, including inference computing, to come online in significantly shorter timeframes. Under the terms of the agreement, PowerBank will provide data on its renewable energy assets for evaluation using Nodiac’s proprietary platform. Both companies intend to identify suitable locations and negotiate site-specific agreements for deploying modular data centers.
PowerBank CEO Richard Lu stated that the rapid growth of AI infrastructure presents both an opportunity and a responsibility for the energy sector. He emphasized that building digital infrastructure on renewable energy foundations can help ensure long-term sustainability while meeting rising compute demands.
Nodiac CEO Robert Sher highlighted the potential to unlock additional value from PowerBank’s energy assets by integrating data center capabilities. He noted that co-locating compute infrastructure with renewable energy sources represents a growing trend in the industry, offering faster deployment and new revenue streams.
The initiative aligns with PowerBank’s broader strategy to expand its role in distributed energy and data center solutions. The company currently has a development pipeline exceeding one gigawatt and over 100 megawatts of operational renewable energy capacity across the United States and Canada. If finalized, the partnership could support a more decentralized model for AI infrastructure, reducing reliance on traditional hyperscale data centers while promoting cleaner and more resilient energy use.
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