3 E Network Locks In 9 MVA Finland Power Deal

Published Oct 19, 2026, 12:23 PM

DENVER, Colo. (247marketnews.com) -- 3 E Network (NASDAQ:MASK) secured a critical power-connection agreement for its planned Mikkeli AI compute center in Finland, putting a key piece of the infrastructure puzzle in place as global demand for AI computing intensifies.

The company announced that its Finnish subsidiary, Aurora Core Technology Oy, signed an agreement on October 13, 2026, with local utility Järvi-Suomen Energia Oy (JSE) for a 9 MVA connection to Finland’s 20 kV medium-voltage grid. Full-capacity energization is expected in 2027, giving the project a defined infrastructure milestone as 3 E Network advances toward commercial deployment.

The announcement lands amid a broader AI infrastructure scramble in which electricity availability, cooling capacity and grid access are becoming critical competitive factors. Advanced AI systems require substantial power and sophisticated thermal management, making access to electrical infrastructure an increasingly important consideration for developers seeking to bring high-density computing online.

3 E Network plans to design the Mikkeli facility around NVIDIA’s (NASDAQ:NVDA) Vera Rubin architecture, with liquid cooling, high-speed interconnects and supporting electrical systems. The company is also coordinating procurement of hardware and essential mechanical, electrical and plumbing equipment, including substations, uninterruptible power supplies and precision cooling systems.

Management described the agreement as a step toward physical execution, stating, “The formal execution of the 9 MVA power distribution contract represents key progress in transitioning the Mikkeli project from strategic planning to the physical construction phase.”

Finland is central to the company’s pitch. Its electricity network incorporates renewable sources, including hydroelectric and wind power, potentially giving 3 E Network an opportunity to market lower-carbon computing services to enterprise customers. For companies facing growing scrutiny over the energy consumption and emissions associated with AI, that proposition could be commercially attractive, although actual emissions benefits and operating costs will depend on the facility’s eventual energy supply and performance.

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