Optimized Thermal Management for Data Centers

Comprehensive Thermal Management Simulation in One Environment

Modern data centers face escalating thermal demands as AI applications grow, compute clusters densify, and sustainability targets tighten. Organizations use GT-SUITE to address these challenges with a unified, multi-physics platform that enables engineers to design and validate cooling systems across every scale, from chip and rack to facility-wide HVACR networks.

By combining thermal, fluid, and control modeling, GT-SUITE accelerates design iteration and delivers predictive insights for resilient, energy-efficient data centers..

Highlights

Model air, liquid, and two-phase refrigerant-based cooling systems.
Optimize component sizing, coolant selection, and heat recovery potential.
Design and test control strategies and logic
Predict system responses to layout or workload changes for resilient operations.
Simulate transient heat loads and safety critical outages.

Impact

Higher Cooling Efficiency

Improved Reliability & Uptime

Lower Energy & Water Use

Accelerated Development Cycles

Multi-Scale Cooling Capabilities

Data centers rely on complex, multi-scale cooling strategies, from chip-level heat removal and rack airflow to large-scale HVACR systems that manage the entire facility. GT-SUITE’s fast and flexible 1D and 3D simulation models capture performance at every level, allowing engineers to analyze system behavior, size components accurately, and design optimized control strategies without the heavy computational cost of CFD.

Chip & Rack-Level Cooling

At the component and rack level, GT-SUITE models convective air and liquid cooling approaches such as fans, heat sinks, and cold plates. Engineers can evaluate transient hot spots, optimize airflow paths, and study how load variations or component failures affect thermal balance, ensuring stable operation even under intensive workloads.

1D–3D Multi-Fidelity Thermal Analysis

GT-SUITE combines fast 1D system modeling with built-in 3D thermal solutions and seamless CFD integration. Engineers can mix 1D and 3D fidelity within one model, run detailed component-level analysis where needed, and keep system simulations fast and scalable.

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Advanced Liquid & Two-Phase Cooling

GT-SUITE supports next-generation cooling techniques including jet impingement, spray, immersion, and two-phase refrigerant systems. These models capture fluid flow, phase change, and heat transfer interactions, enabling precise prediction of temperature distribution, system performance, and safety margins in high-density server environments.

Facility-Level HVACR Systems

At the building scale, GT-SUITE connects IT-level cooling with full HVACR networks: chillers, condensers, thermal energy storage, and economizer systems. Engineers can evaluate plant-level efficiency, optimize ΔT across coils, balance flow, and integrate demand-response or free-cooling strategies to minimize energy consumption and improve uptime.

Component & System Reliability

Predict long-term system performance with built-in tools for refrigerant selection and component degradation studies. GT-SUITE supports low-GWP refrigerants and enables failure-mode simulations (pump, valve, or sensor faults) to assess system resilience and flow rerouting during unexpected events.

Integrated Optimization & Control

With integrated Design of Experiments (DOE) and optimization tools, users can refine control logic, minimize temperature variation, and improve cooling efficiency across all levels of the data center. Engineers can link models directly with AI or machine-learning frameworks for continuous performance improvement.

Advanced Thermal Management for Data Centers