FingerMotion Signs MOU to Develop Edge AI Compute Network in Western Canada

FingerMotion Inc. has signed a nonbinding MOU with BlueFlare Energy Solutions to build a distributed edge AI inference network in Western Canada, leveraging natural gas power and bitcoin mining infrastructure to optimize energy use.

NY Metrowire Staff
Energy
FingerMotion Signs MOU to Develop Edge AI Compute Network in Western Canada

FingerMotion Inc. (NASDAQ: FNGR) announced a memorandum of understanding (MOU) with BlueFlare Energy Solutions to jointly develop a distributed network of micro-scale edge AI inference compute sites across Alberta, British Columbia and Saskatchewan. The collaboration focuses on behind-the-meter natural gas-powered infrastructure and BlueFlare’s proprietary BALA(TM) load-following technology, which balances AI inference workloads with bitcoin mining operations to optimize energy utilization and site economics.

The first proposed project, known as PR1, would combine existing bitcoin mining infrastructure with a planned 500-kilowatt containerized AI inference data center in Alberta. The site is intended to serve as a prototype for a broader regional rollout of edge AI infrastructure. However, the MOU and contemplated commercial terms remain nonbinding and subject to due diligence, definitive agreements and customary approvals.

This initiative marks a strategic expansion for FingerMotion, an evolving technology company with core competency in mobile payment and recharge platform solutions in China. As its user base grows, the company is developing additional value-added technologies. The vision is to rapidly grow the user base and develop an ecosystem of users with high engagement rates, strategically positioning the company to onboard larger customer bases. FingerMotion eventually hopes to serve over 1 billion users in the China market and expand the model to other regional markets.

The collaboration with BlueFlare addresses the growing demand for edge AI computing while managing energy costs and environmental impact. By integrating AI inference with bitcoin mining, the project aims to improve site economics and energy utilization. This approach could be replicated in other regions, potentially transforming how edge AI infrastructure is deployed.

For more details, the full press release is available at https://ibn.fm/txAbd. The latest news and updates relating to FNGR are available in the company’s newsroom at https://ibn.fm/FNGR.

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