NAVIGATING THE FUTURE OF DATA CENTERS

The data center industry is undergoing a major transformation, driven by the growing demand for large-scale GPU computing. As AI, machine learning, and complex simulations push computational limits, the need for more advanced and efficient data center infrastructure has never been greater.​

GT-SUITE provides a comprehensive multi-physics energy optimization platform, incorporating battery management, backup power, microgrids, liquid, air, and vapor compression cooling, as well as flexible load simulation. This integrated approach enables data centers to enhance performance, reduce operational costs, and align with the latest environmental standards, ensuring they are prepared for the future of high-performance computing.

EXISTING CHALLENGES

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Environmental Compliance

The growing trend of stricter environmental regulations set by international bodies and local governments is creating a demand for innovative solutions in data center operations.

GT-SUITE’s system simulation helps data centers optimize energy use by lowering the Power Usage Effectiveness (PUE) ratio. By modeling different configurations and energy sources, it enhances efficiency in cooling, power distribution, and overall energy management. This approach ensures compliance with environmental standards while reducing operational costs.

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Microgrid Integration & Power Resilience

As data centers adopt complex power solutions, microgrids offer a practical approach for primary and backup power. However, their implementation involves significant costs and technical challenges to ensure a reliable, resilient power supply.

GT-SUITE helps data centers tackle microgrid challenges by simulating interactions between primary and backup power systems. It optimizes configurations, assesses energy reliability, and models emergency scenarios to enhance resilience, control costs, and ensure uninterrupted operations.

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Cooling Efficiency Challenges

The escalating heat output from high-density GPU deployments in data centers poses a significant cooling challenge. Effective management of thermal loads is crucial to maintain system reliability and performance, especially as GPUs become more central to computing tasks.

By providing precise modeling of coolant flow, heat transfer, and system dynamics, GT-SUITE enables data center operators to design and optimize cooling strategies that are both efficient and scalable. This ensures optimal GPU performance, prolongs hardware life, and reduces energy consumption, aligning with both operational goals and environmental standards.

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Digitalization

There is a pressing need for innovation in data center through the implementation of advanced digital solutions. Technologies like Digital Twin and Machine Learning drive system performance improvements, boost operational efficiency and guarantee high uptime

GT-SUITE's multi-physics, model-based approach empowers the creation of digital twins for data centers, individual components, and integrated systems. These digital twins enable stakeholders and developers to conduct real-time simulations, predict faults, and anticipate maintenance needs, ensuring operational efficiency.

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DATA CENTER SOLUTIONS
Cooling strategies: component, rack, and row-level HVACR Systems and Indoor Climate Control Power Distribution and Microgrids Battery Energy Storage Systems (BESS) Solutions Electrolysis and hydrogen formation for fuel cell applications Engine and Aftertreatment System Optimization

Cooling strategies: component, rack, and row-level

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GT-SUITE enables accurate simulation of advanced liquid cooling techniques such as jet impingement, spray cooling, and two-phase refrigerant systems for both air-assisted and direct refrigerant approaches. Engineers can also analyze component failures like pumps or valves and evaluate how the cooling network reroutes flow to maintain operation. With fast transient modeling and seamless 1D–3D integration through internal or external CFD tools, GT-SUITE delivers a practical balance of speed, detail, and reliability for designing robust data center cooling systems.

HVACR Systems and Indoor Climate Control

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GT-SUITE enables multi-scale modeling for data center thermal management, from building-level airflow to chip-level transient hot spots. Engineers can size components, optimize flow distribution, and evaluate technologies such as liquid direct-to-chip, jet spray, immersion cooling, CDUs, and waste heat recovery. The platform also predicts corrosion effects, supports low-GWP refrigerant selection, and develops active control strategies for stable operation. With integrated optimization and DOE tools, GT-SUITE helps minimize flow variation, improve ΔT across coils, and enhance PUE—empowering engineers to design efficient, reliable, and future-ready HVACR systems.

Power Distribution and Microgrids

System integration

GT-SUITE offers a powerful environment for modeling and optimizing integrated powertrain and microgrid systems in data centers. It enables simulation of renewable sources such as solar, wind, and green fuel generators alongside the main grid, all managed through a microgrid controller. Engineers can analyze how renewables, grid power, and energy storage systems—including batteries and hydrogen—work together to support IT and cooling loads. The platform also models electrolysis and hydrogen storage, allowing excess renewable energy to be converted and reused in fuel cell generators. This integrated approach helps design resilient, efficient, and sustainable power systems that ensure stable operation under varying demand and supply conditions.

Battery Energy Storage Systems (BESS) Solutions

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Energy storage solution providers face increasing pressure to integrate batteries, inverters, loads renewables, and control systems into efficient, scalable, and reliable solutions while meeting strict performance targets and regulatory standards.
GT-SUITE addresses these challenges with a multi-physics simulation platform that simplifies system design, accelerates time-to-market, and ensures operational reliability. Its comprehensive modeling capabilities empower engineers to optimize energy flow, enhance system efficiency, and achieve faster, more cost-effective development cycles.

Electrolysis and hydrogen formation for fuel cell applications

Electrolysis and hydrogen

GT-SUITE offers robust multi-physics modeling capabilities that support both electrolysis and fuel cell systems in one unified platform. It provides tools to simulate electrolyzer performance and fuel cell stacks with high fidelity, from electrochemistry and mass transport to thermal and electrical integration. Users can model hydrogen storage, manage humidification, predict degradation, and optimize system controls across plant-level configurations. This allows engineers to design and validate complete hydrogen power systems, from generation through storage to fuel cell conversion, with precision and efficiency.

Engine and Aftertreatment System Optimization

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With GT-SUITE, engineers can virtually explore fuel options, optimize control strategies, evaluate different system configurations before implementation and more, saving costs and minimizing risk. In addition, validated GT-SUITE models from suppliers can be directly integrated into data center simulations, enabling faster, more accurate system-level studies that reflect real-world engine performance. The platform also enables analysis of exhaust behavior and emission control performance, helping design cleaner, more efficient backup systems that meet environmental standards without compromising reliability.

DATA CENTER MODELING USING GT-SUITE

Efficient cooling is critical for ensuring optimal performance and energy efficiency in data centers. GT-SUITE enables high-level system simulation, allowing engineers to evaluate and optimize various cooling strategies to enhance reliability and sustainability. Key capabilities include:

  • Cooling technologies
    • Vapor compression systems
    • Liquid and gas cooling
    • Dry and evaporating technologies
  • System performance optimization
  • Reduction of overcooling events
  • Topology and routing optimization
  • Component sizing

 GT-SUITE provides advanced component-level simulation to evaluate and enhance cooling performance at the rack and server level. With a combination of Fast and scalable thanks to 1D-3D simulation technologies for maximum efficiency. Key capabilities include:

  • Convective air & liquid cooling in rack
  • Plate and immersion cooling with phase change
  • Multi-physics with flow, thermal, and electrical components
  • Fast and scalable thanks to 1D-3D simulation technologies

The System-Level Energy Management solution in GT-SUITE addresses challenges in:

  • Managing energy flow across batteries, inverters, and grid systems for optimization
  • Enhancing system efficiency by evaluating and accounting for all inputs, outputs, and losses, including renewable energy sources.
  • Integrating renewable energy sources. By simulating dynamic load profiles, GT-SUITE ensure consistent energy delivery.

GT-SUITE allows users to execute physically predictive or machine learning models in dynamic digital twin environments. Accurate comparison of field data with design performance in DCIM tools helps engineers identify faults and uncover opportunities for system optimization. Additionally, real-time simulation of real-world scenarios ensures operational efficiency, providing actionable insights to enhance system performance and reliability.

GT-SUITE leverages AI-driven insights to reduce model complexity while preserving system dynamics, implement automated fault detection for early issue identification, and optimize design configurations for enhanced efficiency and performance. GT-SUITE allows the deployment of AI-Driven Insights on hardware or in the cloud.

GT-SUITE streamlines design processes with built-in Design of Experiments (DoE) tools for exploring variations, parametric simulations to identify optimal configurations, and worst-case scenario analysis to ensure robust system performance under extreme conditions.

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SHARED BY GT CUSTOMERS

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SPEED

Multiple model fidelities, distributed computing and computationally inexpensive
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CORRELATION

Good correlation of the model with test data
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LIBRARY

Extensive component model library making modelling easy
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DESIGN OPTIMIZATION

Increases productivity and reduce both testing and costs
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USABILITY

Easy to use post processing tool
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SUPPORT

Quick and efficient support

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