As data centers evolve to accommodate artificial intelligence (AI) and high-density computing, operators are facing a critical challenge: managing unprecedented thermal risks and cooling demands. In this rapidly changing landscape, traditional monitoring tools are no longer enough.

Data center infrastructure management (DCIM) is undergoing a significant transformation, moving from static asset tracking to dynamic, predictive simulation. In this article we look at what DCIM is and how the market is shifting to accommodate the future needs of data center operations.

The Role of DCIM

Traditionally, DCIM software has been the broad platform used to monitor, measure, and manage data center resources with established DCIM solutions excelling at enterprise-level visibility.

They are designed to track asset lifecycles, map power and data circuits, monitor environmental conditions, and manage capacity planning. In essence, a traditional DCIM platform looks at the data center from the asset database downward, telling an organization what it has, where it is located, and how it is performing in the present moment.

Market Evolution

Whilst traditional DCIM as it stands is excellent for governance and monitoring, the demands of the modern data center are beginning to highlight some limitations – forcing operators to think much harder about cooling flexibility and operational simulation as the rise of AI-intensive workloads and high-density compute continues.

The market is shifting. Data centers need more than a DCIM that acts as an inventory and monitoring tool, and are looking toward a complimentary element that integrates with a DCIM to provide agile simulation, prediction and operational decision support that helps to optimize efficiency.

Operators today need more than just another dashboard telling them that a temperature has risen because a load increased; they need to know what will happen if they change a cooling control condition right now. The future belongs to AI-driven digital twins and real-time simulation platforms that can safely model the consequences of operational decisions before they are executed.

The Role of a Digital Twin

The digital twin is another area of misinformation. A true digital twin is a living, breathing replica of a physical system. It updates in real-time, streams real-time sensor data from the physical system, learns continually from the operations of the physical system (a physical system could be a data hall, fan wall unit or even a chiller), and optimizes performance through intelligent feedback by suggesting control recommendations to the physical system.

This should not be confused with a static simulation. A static simulation is not connected to the physical system it is emulating, but is sometimes still marketed to the unsuspecting customer as a digital twin. It is important to understand the difference.

If you’re running a computational fluid dynamic (CFD) simulation of a data hall at a single moment in time – that is just a static CFD study. These analytical tools do not interact with live operations or influence the physical system, and therefore cannot be classed as digital twins. The computational power required for full-scale traditional real-time CFD digital twin vastly exceeds the limits of current technology  something to be aware of if you see a CFD analysis badged as AI. At Airedale by Modine, we have a patent pending that utilizes multiple subsets of true AI, including hybrid model trained using CFD data to replicate real-time performance.

What a Digital Twin Offers

Bridging the critical gap between live Building Management Systems (BMS) and traditional DCIM it can offer topology-aware, what-if simulation capabilities.

Real-Time “What-If” Insight: Unlike a basic 3D visualization that simply mirrors live conditions, CoolingAI™ generates a separate simulated data stream. Operators can safely test scenarios such as What happens if a zone setpoint is changed? What if a fan wall unit fails? What if rack density in a specific aisle increases?

Controls-Aware Simulation: The twin doesn’t just estimate thermal changes; it features a simulated PID layer. It calculates how virtual fans will react, how DP affects thermal behavior, and how water duty shifts based on the operator’s simulated decisions.

Fan Optimization & Energy Savings: Fans are notoriously energy-intensive, and small operational adjustment can result in huge energy difference. The digital twin can model the actual fan demand and speeds of individual FWUs, allowing the operator to pinpoint units overcompensating for local imbalances, and virtually rehearse optimized controls strategies to reduce fan energy usage, without the risk of hotspots.

Depth Over Breadth: Whilst a traditional DCIM confidently covers a wide breadth of functions, it cannot perform cooling-behavior specificity. CoolingAI™ acts as an operator-level decision support tool that compliments existing DCIM/BMS environments, offering deep operational features like cooling zone reconfiguration and standalone fan operation modelling.

Agile and Practical: Compared to heavy, design-grade Computational Fluid Dynamics (CFD) engines that are slower and perform complex sequences, this reduced-order digital twin is fast, interactive, and perfectly suited for day-to-day shift operations and rapid decision-making.

Seamless Integration: Using existing infrastructure, Cooling AI™ does not require a full new sensor estate or a full engineering simulation environment to start producing value – making it perfect for retrofit data halls.

What the Future Holds

The data center industry is moving toward a future where predictive modelling and digital twins are essential for survival. By focusing exclusively on live, control-aware cooling behavior, the Airedale CoolingAI™ technology provides exactly what operators are missing today: the confidence to test, simulate, and optimize cooling decisions safely, before going to the live environment – ensuring that their infrastructure is ready for whatever high-density challenges come next.

If you’re interested in learning more about our CoolingAI™ technology contact us today.