3 E Network Integrates CFD and Digital Twin Technologies for AI Data Center

HONG KONG, Sept. 14, 2026 /CourierPR/ -- 3 E Network Technology Group Limited has integrated advanced Computational Fluid Dynamics (CFD) simulation and Digital Twin technologies into its new AI data center in Mikkeli, Finland. This move marks a significant step in the company’s mission to become a leading provider of next-generation AI infrastructure solutions.

The integration of these technologies is designed to optimize the data center’s design, physical deployment, and daily operations. Unlike traditional cloud data centers, AI computing centers generate significant "Transient Power Spikes" during large-scale model training, which can challenge traditional airflow assessments. To address this, 3 E Network has adopted a "software-defined engineering" approach, combining high-precision CFD computational power with 3D spatial modeling.

In the design and deployment phases, the company has conducted "Chip-to-Facility" multi-physics analysis across several critical engineering areas. At the chip level, the company has incorporated anticipated thermal load metrics for next-generation architectures, such as NVIDIA’s Vera Rubin, to conduct redundancy testing under extreme conditions. This analysis extends to the compute-node level, guiding the facility’s initial architectural design and ensuring cross-generational compatibility.

For micro-fluidic optimization, 3 E Network has applied CFD to high-density blind-mate piping and manifold networks to calculate the pressure drop distribution of Coolant Distribution Units. This helps in guiding the placement of the physical piping network to ensure balanced coolant flow to compute cores, reducing the risks of pump cavitation and localized boiling.

Airflow containment and aisle management have also been optimized using the CFD system. The company dynamically simulates the supply air pathways of Computer Room Air Handlers within the digital model to optimize the placement of physical containment components. This reduces hot- and cold-air short-circuiting and supports more energy-efficient cooling.

The thermal boundary analysis for power infrastructure is another key aspect of the integration. CFD thermal field simulation technology is extended to electrical facilities to confirm that the physical installation locations of components such as high-voltage busbars and smart PDUs remain within safe thermal boundaries. Additionally, the system incorporates local meteorological data from Mikkeli, Finland, to simulate the interactions between chiller plants and natural wind fields within the facility’s exterior 3D model. This guides the design of external exhaust systems to reduce heat recirculation, facilitating the effective utilization of the Nordic region’s natural free-cooling.

Upon the delivery of the data center, 3 E Network has established a digital management foundation that continuously synchronizes data with the physical facility to support daily operations. The operations team can conduct virtual pre-placement validation for high-density racks, recognizing the increased weights and strict alignment precision required for next-generation liquid-cooled compute racks. This helps in reducing rework rates and ensuring the safe installation of hardware equipment.

The digital management platform also enables workload-aware thermal orchestration. By comparing real-time operational telemetry against foundational CFD prediction baselines, the system assists operations teams in adjusting the operating parameters of chillers and liquid cooling pumps in anticipation of power spikes from model training. This aims to optimize Power Usage Effectiveness (PUE) continually while maintaining compute stability.

Operations teams can also import anticipated future thermal load parameters of 100kW+ per rack into an isolated virtual testing sandbox for simulation drills. This allows the facility to continually evaluate power and cooling capacity margins without disrupting existing active compute tasks, providing data support for the future generational evolution of the cluster.

Dr. Tingjun Yang, Chief Executive Officer of 3 E Network, stated, "In the Mikkeli project, we are not only building robust physical infrastructure but also establishing a predictive digital management system designed to support the facility throughout its lifespan. By integrating multi-physics computation and spatial virtualization technologies across design, deployment, and operations, we use software-defined engineering to continuously evaluate and mitigate physical risks. This reflects 3 E Network’s prudent approach to capital-intensive investments and is intended to support the long-term reliability of high-value AI compute clusters hosted at the facility."

This integration of CFD simulation and Digital Twin technologies underscores 3 E Network’s commitment to staying at the forefront of AI infrastructure solutions. The company’s approach to data center design and management is expected to enhance the reliability and efficiency of its facilities, making it better equipped to handle the demands of next-generation AI computing.