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.
The announcement marks a significant step toward repurposing existing energy infrastructure for AI compute, a model that could reduce development timelines and environmental impact. By leveraging flared natural gas—a byproduct of oil and gas extraction that is often burned off—the project aligns with broader sustainability goals while addressing the growing demand for AI processing power. The use of behind-the-meter generation also sidesteps grid interconnection bottlenecks, a common hurdle for data center projects.
FingerMotion, an evolving technology company with a core competency in mobile payment and recharge platform solutions in China, is diversifying into AI infrastructure through this partnership. The company's vision is to grow its user base and develop an ecosystem of high-engagement users, and this project represents a strategic expansion into high-performance computing. For more details, the full press release is available at https://ibn.fm/mTXyo.
The successful execution of this project could serve as a blueprint for similar conversions elsewhere, potentially unlocking stranded energy assets for productive AI use. As discussions progress, investors and industry observers will be watching for definitive agreements that could solidify FingerMotion’s role in the AI compute market. The latest news and updates relating to FNGR are available in the company’s newsroom at https://ibn.fm/FNGR.
