FingerMotion Enters Edge AI Inference Compute Market Through Strategic MOU with BlueFlare Energy Solutions; Plans to Proceed with First Behind-the-Meter Site (PR1) in Alberta Under Non-Binding Commercial Term Sheet

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Initial project to anchor a proposed distributed network of small-scale edge compute sites across Western Canada, orchestrated by BlueFlare's proprietary BALA(TM) (BlueFlare Adaptive Load Architecture(TM)) load-following platform Singapore, Singapore--(Newsfile Corp. - June 9, 2026) - FingerMotion, Inc. (NASDAQ: FNGR) ("FingerMotion" or the "Company"), a mobile services, data and technology company today announced that it has entered into a Memorandum of Understanding (the "MOU") with BlueFlare Energy Solutions Inc. ("BlueFlare"), an Alberta-based developer, engineer and constructor of behind-the-meter ("BTM") energy and high-performance compute infrastructure, to jointly develop a distributed network of micro-scale edge AI inference compute sites across Western Canada. In conjunction with the MOU, the Company and BlueFlare will also consider a non-binding Commercial Term Sheet (the "LOI"), with the first behind-the-meter project to be advanced under the collaboration, a site located in Alberta, Canada and designated PR1 (the "PR1 Project"). The draft non-binding LOI reflects the parties' agreement to proceed and has not been executed. A Distributed Edge AI Inference Network for Western Canada The MOU establishes BlueFlare as FingerMotion's exclusive partner within the Canadian provinces of Alberta, British Columbia and Saskatchewan for the origination, design, engineering, construction and ongoing support of co-located AI inference compute sites and bitcoin mining sites. The collaboration is built around BlueFlare's "From Wellhead to Workload" platform and its proprietary BALA™ (BlueFlare Adaptive Load Architecture™) load-following technology. FingerMotion intends to use the collaboration to build a distributed network of micro-scale edge AI inference compute sites, each typically in the 0.5 megawatt ("MW") to 2 MW range, sited directly behind the meter at producing or recently-producing natural gas fields in Western Canada. The Company believes that, compared to centralized hyperscale data centers, a distributed edge compute model may offer differentiated advantages across the following dimensions: Energy economics. Direct, BTM access to low-cost on-site natural gas, with electricity generated and consumed without traversing the transmission grid. Latency. Geographic proximity to regional users and devices, which is particularly relevant for AI inferenc...

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