AI Predictive Fluid Dynamics: Mitigating Thermal Hotspots in High-Density Data Centers

Optimizing Data Center Performance: Real-time CFD for Micro-Thermal Spikes in High-Density Deployments

This approach addresses thermal challenges in high-density server deployments by integrating real-time computational fluid dynamics (CFD) models with data from server-rack telemetry. This allows for the precise detection of micro-scale thermal spikes that can occur in such environments.

The system then implements high-density deployment thermal management by making real-time adjustments to Computer Room Air Handler (CRAH) fan speeds and controlling motorized floor tile dampers. This coordinated action enables dynamic airflow reallocation to effectively eliminate localized hot spots.

A key benefit is the prevention of whitespace over-cooling, ensuring that energy is used efficiently. The ultimate goals are the minimization of Power Usage Effectiveness (PUE) and the prevention of server throttling events, which can degrade performance and shorten equipment lifespan.