3 E Network Develops Multi-Megawatt Green Energy Architecture for Finnish AI Data Center
3 E Network advances its Finnish AI data center by finalizing a multi-megawatt green power design and funding early engineering work with a $1 million placement.
Rhea-AI Summary
3 E Network (MASK) has defined a multi-megawatt green energy architecture for its planned AI data center in Finland, moving the project from conceptual blueprint to physical infrastructure planning. The design targets ultra-high-density AI clusters via forward-compatible load capacity, modular power scalability, integrated liquid-cooling-based thermal management, and high-availability redundancy.
The facility is positioned on the Nordic renewable grid, which the company expects will lower OPEX, improve Power Usage Effectiveness, and support a 100% carbon-neutral compute foundation. Net proceeds from a recently completed $1.0 million private placement with an entity affiliated with the CEO are funding front-end engineering validations, including thermodynamic simulations, electrical load design, grid interconnection assessments, and environmental impact evaluations.
Positive
- Multi-megawatt power design finalized for ultra-high-density AI clusters at the Finnish data center
- Nordic renewable grid expected to lower OPEX and support 100% carbon-neutral compute
- $1.0 million private placement proceeds allocated to thermodynamic simulations and electrical load architecture design
- Capital deployed for grid interconnection assessments and environmental impact evaluations to shorten time to construction readiness
Negative
- None.
Details
Market reaction after AI data-center development: MASK -4.86%
Following this news, MASK has declined 4.86%, reflecting a moderate negative market reaction. Our momentum scanner has triggered 59 alerts so far, indicating high trading interest and price volatility. The stock is currently trading at $0.84. Trading volume is exceptionally heavy at 745.0x the average, suggesting significant selling pressure.
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Key Figures
- Power architecture scale
- Multi-megawatt
- Finnish AI data center
- Private placement proceeds
- $1.0 million
- Recently completed placement used for engineering validation
- Carbon-neutral compute foundation
- 100%
- Expected result of Finland's fossil-free energy integration
Previous AI Reports
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Unveiled Mikkeli blueprint supporting NVIDIA Vera Rubin architecture standards
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Integrated CFD and Digital Twin technologies into planned Finnish data center
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Highlighted Finland's role in planned global AI compute footprint
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Key Terms
power usage effectiveness technical
scope 3 emissions technical
thermal design power technical
grid interconnection technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
HONG KONG, Sept. 22, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or “3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider, committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider, today announced the establishment of a comprehensive, high-capacity green energy architecture for its previously announced AI data center in Finland. This development advances the facility’s blueprint into the physical infrastructure planning phase, preparing the facility to support growing demand in the global AI ecosystem.
Advancing from Blueprint to Physical Infrastructure
Following the initial release of the Finnish data center blueprint on September 11, 2026, 3 E Network’s technical division finalized the power infrastructure parameters designed to support ultra-high-density AI clusters. Building on the conceptual design, this multi-megawatt power foundation is designed to address the substantial power requirements of next-generation computing hardware through four core technical pillars:
- Forward-Compatible Load Capacity: Designed to accommodate the extreme thermal and electrical thresholds of next-generation high-density computing frameworks, such as the NVIDIA Vera Rubin architecture.
- Modular Power Scalability: Designed to scale power capacity alongside incremental server rack installations, helping reduce potential infrastructure bottlenecks during future capacity expansions.
- Integrated Thermal Synergy: Integrates electrical load distribution with advanced liquid-cooling loops, with the aim of improving power efficiency across compute nodes and thermal management systems.
- High-Availability Redundancy: Features robust failover mechanisms and fault-tolerant power topologies to support the reliable electrical delivery required for continuous, long-cycle AI model training.
Strategic ESG and OPEX Advantages of the Nordic Grid
The transition to next-generation AI computing creates significant thermal design power requirements, increasing the importance of energy-efficient and cost-effective data center design. To meet the energy demands of ultra-high-density clusters, 3 E Network designed its energy architecture in the Nordic region. This geography offers direct access to a highly mature renewable utility grid rich in sustainable hydroelectric and wind power, providing an ideal foundation for compute-intensive infrastructure.
Financially, the Company expects this architectural alignment to deliver substantial operational expenditure (“OPEX”) advantages. By pairing low-cost renewable energy with the region’s naturally cool climate, the facility enables greater use of free-cooling capabilities. This approach is designed to lower the Power Usage Effectiveness metric. Simultaneously, localized integration with stable green grids may reduce exposure to energy-price volatility associated with fossil-fuel-dependent energy markets.
Beyond immediate cost efficiencies, integrating with the Nordic grid is expected to strengthen the Company’s competitive position from an Environmental, Social, and Governance (“ESG”) perspective. On the Environmental (E) front, leveraging Finland’s highly prevalent fossil-free energy is expected to allow the Company to deliver a
Empowering the Global “Edge-Cloud Continuum”
This high-capacity energy architectures is intended to support 3 E Network’s participation in the broader “Edge-Cloud Continuum” driving the global AI development. By anchoring this ecosystem with its Finnish data center, the Company empowers the global tech landscape across three interconnected dimensions:
- The “Cloud” Anchor for Heavy-Compute Processing: Acts as a macro-level “cloud brain” providing computational capacity for AI model training, fine-tuning and multimodal inference.
- The “Edge” Backend for Distributed Terminals: Serves as the robust cloud counterpart to low-latency edge nodes, which may include smart-city sensors, autonomous vehicles and industrial IoT systems, supporting rapid data offloading and real-time localized responsiveness.
- The “Continuum” of Seamless Data Integration: Facilitates an efficient bidirectional flow of data between intelligent edge devices and centralized compute hubs. This architecture is intended to deliver scalable, enterprise-grade AI power to diverse verticals undergoing cross-industry digital transformation.
Strategic Capital Deployment and Engineering Validation
Recent capital initiatives are supporting the continued development of this infrastructure design. The Company confirms that net proceeds from the recently completed
Furthermore, the Company is using these strategic funds to conduct grid interconnection assessments and engage specialized local electrical engineering expertise. By rapidly allocating resources to initiate environmental impact evaluations and grid integration planning, the Company translates financial capital into tangible technological assets. This proactive deployment significantly shortens the lead time between conceptual blueprint design and physical construction readiness, keeping the Company firmly on track with its strategic commercialization timeline.
Management Commentary
“Defining our high-capacity energy architecture is a fundamental operational milestone for our European infrastructure roadmap,” stated Dr. Tingjun Yang, Chief Executive Officer of 3 E Network. “Next-generation AI computing is as much an energy challenge as it is a technological one. By designing our Finnish data center to leverage the Nordic green grid, we are laying a sustainable, highly scalable, and cost-efficient physical foundation. Supported by our recent internal capital injection, our technical team continues to advance our strategic blueprint with precision. We remain focused on finalizing our grid integration processes and developing the scalable infrastructure required to power the next wave of global AI innovation.”
About 3 E Network Technology Group Limited
3 E Network Technology Group Limited is a business-to-business (“B2B”) information technology (“IT”) business solutions provider committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider. It upholds the industry consensus of “AI and energy symbiosis” and has a strong vision in the field of energy investment. The Company’s business comprises two main portfolios: the data center operation services portfolio and the software development portfolio. For more information, please visit the Company’s website at https://3emask.com/.
Forward-Looking Statements
Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company’s current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy, and financial needs. Investors can identify these forward-looking statements by words or phrases such as “approximates,” “assesses,” “believes,” “hopes,” “expects,” “anticipates,” “estimates,” “projects,” “intends,” “plans,” “will,” “would,” “should,” “could,” “may” or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect the Company’s future results in the Company’s registration statement and other filings with the U.S. Securities and Exchange Commission.
For more information, please contact:
3 E Network Technology Group Limited
Investor Relations Department
Email: ird@3emask.com
Website: https://3emask.com/
FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
How will the Nordic grid benefit 3 E Network’s Finnish AI data center?
The energy architecture is designed around the Nordic region’s mature renewable grid, which provides access to hydroelectric and wind power. The company expects this to enable greater use of free-cooling, lower the facility’s Power Usage Effectiveness metric, reduce exposure to fossil-fuel-driven energy price volatility, and support a 100% carbon-neutral compute foundation aligned with enterprise Scope 3 emissions targets.
What are the four core technical pillars of the new power architecture?
The architecture targets next-generation high-density computing through four pillars: forward-compatible load capacity for future hardware thermal and electrical thresholds; modular power scalability that grows with server rack installations; integrated thermal synergy that links electrical distribution with advanced liquid-cooling loops; and high-availability redundancy with failover and fault-tolerant power topologies to support long-cycle AI model training.
How is the $1.0 million private placement being used?
Net proceeds from the recently completed $1.0 million private placement with an entity affiliated with the CEO fund front-end engineering validations. These include advanced thermodynamic simulations, comprehensive electrical load architecture design, grid interconnection assessments, engagement of specialized local electrical engineering expertise, and initiation of environmental impact evaluations and grid integration planning.
How does this project fit into 3 E Network’s ‘Edge-Cloud Continuum’ vision?
The Finnish data center is intended to act as a macro-level cloud “brain” for AI training, fine-tuning, and multimodal inference, while serving as the backend for distributed edge terminals such as smart-city sensors, autonomous vehicles, and industrial IoT systems. Its architecture is designed to support a bidirectional data flow between edge devices and centralized compute hubs, enabling scalable, enterprise-grade AI power for industries undergoing digital transformation.