Announcement • Apr 07
3 E Network Technology Group Limited Announces Progress on Finland AI Data Centre Project 3 E Network Technology Group Limited announced a substantial progress on the construction progress of its AI data center project in Finland. Following the recent formal approval of the building permit, on-site construction activities have commenced, and the project is progressing in accordance with the current development plan. Tree felling and site clearance have been completed, preparing the site for the next stages of construction. The project has entered the earthworks phase. Excavation and grading equipment has been deployed on site, and related construction activities are underway. This represents a further step in the Company’s Finland data center development plan. The commencement of earthworks is intended to support the initial phase of the project, which is expected to include a 6MW computing facility, subject to further development and implementation. The Finland project is intended to leverage the country’s energy supply and cooling conditions to support the development of data center infrastructure. The Company expects that the project, if completed as planned, could support high-performance computing and AI-related workloads, although such outcomes remain subject to project execution and market conditions. The Company is coordinating construction planning with its supply chain arrangements. The current earthworks are preparing the site for the potential installation of prefabricated modular data center units. At the same time, procurement and prefabrication of certain mechanical, electrical and plumbing systems, as well as related equipment, are being carried out in parallel. This approach is intended to facilitate coordination between construction phases and may contribute to improved project timelines, subject to execution and external factors. The Company has indicated that it is taking ESG (environmental, social and governance) considerations into account in the project. By working with local partners, site clearance and earthworks are being carried out in accordance with applicable local environmental regulations. The Company expects that this approach may help manage environmental impact and support local economic activity, although the extent of such impact will depend on ongoing project development. Valuation Update With 7 Day Price Move • Mar 17
Investor sentiment deteriorates as stock falls 23% After last week's 23% share price decline to US$2.90, the stock trades at a trailing P/E ratio of 2.1x. Average trailing P/E is 21x in the IT industry in the US. Total loss to shareholders of 96% over the past year. Announcement • Feb 06
3 E Network Announces Ai Smart Energy Plan for Mikkeli Project 3 E Network Technology Group Limited announced the implementation of its "AI Smart Energy Plan" in connection with the AI Data Center in Mikkeli, Finland. Intended to serve as a top-level planning framework for the construction phase, this blueprint leverages the Company's proprietary innovations in the Internet of Things (IoT) and data intelligence. Through the design of five core technical modules, the plan is designed to support full-chain control over operational energy usage. The initiative aims to optimize Power Usage Effectiveness (PUE) via technological intervention, supporting a transition from traditional "passive consumption" toward "active management." Amidst surging computing demand and fluctuating conditions in European energy markets, energy efficiency has become an increasingly important factor in the economics of data center operations. The newly released Smart Energy Plan encompasses the following proposed key technical pillars: Construction of Omni-Domain High-Frequency Sensing System: Utilizing a dense IoT sensor network, the system is designed to generate a high-frequency, full-state digital mapping of the physical environment. It is intended to generate forward-looking price trend signals that may serve as an important input for economic workload scheduling. Establishment of Economic Workload Dispatch Mechanism: Creating a synergistic "Compute-Energy" response protocol. Guided by predictive pricing signals, the system is designed to support automate task orchestration: while seeking to maintain the Service Level Agreement (SLA) of critical tasks, it automatically migrates high-intensity large-scale training workloads to off-peak price windows. This strategy is intended to support optimization of the Operational Expenditure (OPEX) structure. "Passive Consumption" to "Active Management: Reframing the interaction logic between the infrastructure and the power grid. Through integrated Demand Response modules, the facility is designed to support bidirectional regulatory capabilities. The system may adjust power consumption to assist grid balancing based on utility instructions to support grid balancing efforts, with the potential to integrate more closely into the local green energy ecosystem and explore ancillary service opportunities. This "AI Smart Energy Plan" represents a strategic framework developed by the Company that draws on its technological capabilities to support the operational performance of the Mikkeli project. In an era where energy efficiency plays an increasingly important role in AI computing margins, this algorithm-driven management model is intended to enhance the Company's resilience against energy price fluctuations over time, supporting more sustainable cost management. Furthermore, by embedding "green sustainability" into its core business logic, the plan is designed to align with strict Nordic environmental standards and may serve as a standardized reference framework for future global expansion, supporting a competitive position within the industry. Board Change • Jan 30
High number of new and inexperienced directors There are 4 new directors who have joined the board in the last 3 years. The company's board is composed of: 4 new directors. No experienced directors. No highly experienced directors. CEO, IT Security Officer & Director Tingjun Yang is the most experienced director on the board, commencing their role in 2024. The company’s lack of experienced directors is considered a risk according to the Simply Wall St Risk Model. Announcement • Jan 29
3 E Network Launches Intellisight Platform for Ai Compute Infrastructure with Aiops and Active Security 3 E Network Technology Group Limited officially announced the launch of its proprietary 3 E Intellisight Intelligent Operations Platform. By integrating real-time IoT telemetry, artificial intelligence and data analytics, the platform is designed to provide automated operations and security management capabilities for high-density AI computing clusters. The platform is intended to support infrastructure monitoring, incident response and network security management within complex computing environments. As AI workloads continue to increase in scale and complexity, data center operators are increasingly focused on operational continuity, system reliability and infrastructure intelligence. The 3 E Intellisight Platform is designed to support Service Level Agreement (SLA) compliance and operational continuity for mission-critical workloads through four core functional modules: Full-Stack Telemetry & Proactive Fault Prediction (AIOps): Moving beyond traditional reactive maintenance, the system utilizes high-density IoT sensors to perform real-time telemetry on infrastructure, monitoring metrics such as vibration, thermal topology, and voltage stability. Combined with proprietary AIOps models, it identifies early indicators of hardware degradation to predict potential failures, maximizing Mean Time Between Failures (MTBF) and ensuring high cluster availability. Automated Operations Orchestration & Response: The platform supports a fully automated workflow from anomaly detection to remediation. It intelligently schedules and orchestrates operational events based on business priority, enabling deep remote control of distributed infrastructure. These capabilities are designed to reduce reliance on manual inspections and shortens service restoration time through standardized, automated resolution workflows. Full-Path Network Traffic Defense: Implementing a dual-layer defense architecture tailored for AI clusters, the system vigorously monitors North-South Traffic at the perimeter to defend against external intrusions, while deeply analyzing East-West Traffic internally to prevent the lateral movement of threats. Through a virtual interface, administrators can monitor the physical location and operational parameters of cabinets, facilitating granular rack-level capacity planning. These capabilities are designed to support effective data center asset utilization while assisting in the management of power, cooling and space constraints. Announcement • Jan 15
3 E Network Technology Group Limited Unveils A Next-Gen AI Data Center Solution 3 E Network Technology Group Limited announced the core technical architecture of its high-performance AI data center project, following the signing of a land lease agreement with the City of Mikkeli in Finland in December 2025. 3 E Network aims to provide competitive computing services to global customers, leveraging its unique technological advantages. The rapid advancement of artificial intelligence has revealed critical limitations in traditional data center architectures, particularly under high-intensity workloads such as large-scale model training, inference, and AI-driven applications. In response to these challenges, 3 E Network aims to redefine the standards for computing infrastructure in the AI era. Leveraging its strategic vision and technical expertise in energy investment, the Company is developing an integrated AI data center solution that combines both software and hardware capabilities. Core Infrastructure philosophy: Reshaping the Compute Foundation; Modular Design: Rapid Deployment: Traditional data center construction is often an 18-month-plus endeavor, involving complex design, construction, and commissioning phases. 3 E Network has adopted a modular design concept, decomposing the entire AI data center into prefabricated and interchangeable standard units. From power distribution, IT equipment to cooling and networking units, all modules are prefabricated and tested off-site before being shipped for rapid on-site assembly. This "Plug-and-Play" design not only significantly shortens the deployment timeline, but also offers unparalleled flexibility. The update or replacement of any single module can be performed without impacting the overall system's operation, enabling truly seamless, zero-downtime upgrades and expansion. AI High-Density Computing: Advanced Performance: Facing the extreme requirements of AI workloads for computing power, the rack power density of traditional data centers (typically 3-5kW) is insufficient to meet the high energy demands of AI clusters. 3 E Network has launched a high-density computing solution that increases rack power density to 20kW or higher. This solution unleashes powerful computing capabilities within limited space, precisely matching and supporting high-intensity AI training and inference tasks. Low-Latency, High- availability Network: High-Speed Interconnection: Addressing the characteristics of AI scenarios-- huge data transmission volumes, high bandwidth requirements, and latency sensitivity--3 E Network adopts InfiniBand™? Architecture or RDMA over Converged Ethernet (RoCE) technology. Through Remote Direct Memory Access (RDMA) technology, it achieves high-speed direct interconnection between GPU memories, effectively eliminating bottlenecks caused by CPU processing. Simultaneously, combined with a high-performance network architecture and a dual-device hot backup design for core equipment, this solution ensures both high throughput and high availability for computing clusters. Liquid Cooling Adaptation: Green and Efficient: The leap in AI chip performance has driven an explosive growth in power consumption. The power draw of leading single-chip products, such as NVIDIA H100/H200 and the Blackwell architecture, now exceeds 700W. 3 E Network adopts a flexible "Air-Liquid Hybrid" scheme that is compatible with existing general-purpose servers while seamlessly accommodating 20kW+ high-density liquid-cooled racks. This scheme not only effectively lowers the Power Usage Effectiveness (PUE) value and reduces noise but also avoids redundant infrastructure investment caused by rapid hardware iteration. Intelligent Operations System: Deep Optimization from Maintenance to Operations: Relying on a self-developed AI smart cooling system, the data center can collect and analyze IT load, cooling system status, and external environmental parameters in real time to dynamically optimize cooling strategies. This system is expected to reduce the annual PUE by 8% to 15%. Furthermore, by combining dynamic electricity prices and load forecasting, it intelligently schedules computing resources, transforming the data center from amere energy consumer into an intelligent energy manager. Smart O&M and Predictive Maintenance: 3 E Network utilizes Internet of Things (IoT) sensors to continuously monitor equipment health and combines them with AIOps (Artificial Intelligence for IT Operations) models to predict potential faults in advance, significantly reducing reducing the overall PUE by 8% to 10% to 15%. 
