FingerMotion and BlueFlare Advance Talks for AI Compute Site Converting Flared Gas to Power Inference Workloads

FingerMotion Inc. (NASDAQ: FNGR) and BlueFlare Energy Solutions have moved into advanced discussions on commercial terms for the first of two proposed behind-the-meter AI compute projects, the companies announced. The initial project involves a roughly 600-kilowatt facility in Alberta that currently uses natural gas that would otherwise be flared to power bitcoin mining operations. Under the proposed framework, the site would be redeveloped into an AI inference facility supported by new on-site power generation, battery energy storage and high-performance computing infrastructure.

According to the announcement, 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 load-management platform to dynamically allocate power between AI and bitcoin mining workloads. The design is intended to avoid common development delays by operating independently of grid interconnection and fiber infrastructure.

The companies noted that discussions remain preliminary and non-binding, and no commercial term sheet or definitive agreement has yet been executed. The project represents a potential shift in how stranded or flared energy resources can be harnessed for emerging AI workloads, which require significant and reliable computing power. By combining AI inference with bitcoin mining, the facility aims to optimize energy use and revenue streams.

FingerMotion, a technology company with core competency in mobile payment and recharge platform solutions in China, has been exploring expansion into AI compute through this partnership. The company’s vision includes growing its user base and developing value-added technologies. The full press release is available at https://ibn.fm/mTXyo.

The implications of this announcement are significant for both the energy and AI sectors. Repurposing flared gas—a byproduct of oil and gas extraction that is often burned off—for AI computing could reduce environmental waste while providing a cost-effective power source for energy-intensive AI inference tasks. This model could be replicated in other regions with abundant flared gas, potentially accelerating the deployment of AI infrastructure without straining local power grids.

For FingerMotion, the project represents a strategic move into the high-growth AI compute market, diversifying beyond its core mobile payment business. The company’s partnership with BlueFlare, which specializes in behind-the-meter energy solutions, positions it to capitalize on the growing demand for AI inference capacity, which is expected to surge as more AI applications move from training to deployment.

Investors and industry observers will be watching for further developments, as the project moves from preliminary discussions to potential execution. The successful deployment of such a facility could serve as a proof of concept for integrating AI workloads with existing bitcoin mining infrastructure, offering a blueprint for other operators looking to pivot toward AI computing.

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