Data Center Solutions​

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.

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EXISTING CHALLENGES

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.

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.

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.

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.

DATA CENTER MODELING USING GT-SUITE

Data Center System Cooling

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

Rack & Server Cooling

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

System-Level Energy Management

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.

Cloud-Enabled Digital Twin Monitoring

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.

AI & Data-Driven Design and Insights

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.