FingerMotion Inc. (NASDAQ: FNGR) announced that it and BlueFlare Energy Solutions are in advanced discussions regarding commercial terms for the first of two proposed behind-the-meter AI compute projects identified under their previously announced memorandum of understanding. The initial project is a roughly 600-kilowatt Alberta facility that currently uses natural gas that would otherwise be flared to power bitcoin mining operations, with plans to redevelop the site into an AI inference facility supported by new on-site power generation, battery energy storage and high-performance computing infrastructure.
Under the proposed framework, AI inference would serve as the site’s primary revenue driver, while bitcoin mining would be retained as a load-balancing mechanism to maximize utilization of on-site power generation. The facility would use BlueFlare’s proprietary BALA(TM) load-management platform to dynamically allocate power between AI and bitcoin mining workloads and is designed to avoid common development delays by operating independently of grid interconnection and fiber infrastructure. The parties noted that discussions remain preliminary and non-binding, and no commercial term sheet or definitive agreement has yet been executed.
This development is significant because it represents a practical approach to repurposing existing energy infrastructure for AI computing, addressing both environmental concerns related to gas flaring and the growing demand for AI inference capacity. By leveraging behind-the-meter power generation and battery storage, the project could circumvent typical grid interconnection bottlenecks that often delay such initiatives. The use of bitcoin mining as a flexible load balancer also demonstrates an innovative method to ensure high utilization of on-site power, potentially improving economic viability.
For FingerMotion, this partnership aligns with its strategy to expand beyond its core mobile payment and recharge platform in China into value-added technologies. The company aims to build an ecosystem of users and leverage its technology for new applications. Success in this AI compute project could open additional revenue streams and demonstrate the scalability of their model. The broader implication for the industry is the validation of hybrid AI-crypto mining facilities as a way to monetize stranded or flared energy resources while supporting the expansion of AI infrastructure.
The full press release is available at https://ibn.fm/mTXyo. For more information on FingerMotion, visit their newsroom at https://ibn.fm/FNGR.
