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Data Center Digital Twin

A virtual model for smarter data center decisions

Data Center Digital Twin

Rising rack densities, advanced cooling strategies and increasingly dynamic compute demands are pushing data centers further and faster than traditional design and delivery approaches can manage.

This offering models real-world system behavior before challenges surface as operational risk — enabling owners, developers and technical teams to reduce uncertainty and make faster, better-informed decisions from early feasibility through live operations. 

What the Digital Twin enables

Design with confidence

Model site constraints, power availability, cooling strategies and layouts early to reduce redesign, cost risk and late-stage changes.

Validate performance early

Simulate airflow, thermal behavior, electrical performance and control logic to identify issues before commissioning.

Reduce delivery risk

Test assumptions and integration points virtually, avoiding delays, rework and commissioning failures. 

Accelerate readiness

Support smoother commissioning and faster handover by resolving performance issues earlier in the asset lifecycle.

Plan for change

Model future scenarios such as higher rack densities, Graphics Processing Unit (GPU) refresh cycles and cooling upgrades. 

Support better decisions

Provide a single source of truth that connects design, engineering and operational insights.

Core features

Feasibility and constraint modeling: Assess grid capacity, power distribution, cooling availability, water constraints and site conditions to inform early decision-making and site selection.

Cooling and thermal simulation (CFD): Simulate airflow, containment strategies and heat removal to identify hotspots, compare design options and optimize cooling performance for high-density environments.

Power system analysis: Model electrical behavior — including load flow, short circuit and stability — to validate resilience, redundancy and system performance.

Controls and systems validation: Test sequences of operation and system responses in a virtual environment before installation, reducing controls testing time and integration risk.

Cost and schedule insight (4D/5D): Link digital models to delivery planning and cost data to improve predictability and support informed trade-off decisions. 

Data Center Digital Twin, explained 

A physically accurate virtual model that simulates how a data center behaves — testing design, power, cooling and control strategies before, during and after construction.

Starting in feasibility or early design maximizes value, with continued benefits through delivery, commissioning and operations.

No. It connects and enhances them by bringing data together into a single environment where performance and risk can be tested holistically.

Yes. Digital twins are especially valuable for modeling future scenarios such as Graphics Processing Unit (GPU) upgrades, density increases and cooling changes. 

Data center owners, operators and developers use digital twins to support decision-making across design, delivery and operations — particularly for complex, high-density or AI-driven facilities where performance, reliability and future flexibility are critical. 

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