SUSE and Switch Enable Real-Time Data Center Simulation
Edited by Mursal Rahman — April 23, 2026 — Tech
This article was written with the assistance of AI.
References: suse & iottechnews
AI-powered digital twin infrastructure is transforming how companies manage and optimize complex systems by enabling real-time simulation of physical environments. Through its partnership with SUSE, Switch is using digital twin technology to model data center operations, including power usage, thermal performance, and workload distribution. By combining SUSE’s AI platform, supported by Rancher Prime and Linux Enterprise Server, with NVIDIA Omniverse simulation tools, the system brings together AI, simulation, and live data to test scenarios and predict outcomes before making physical changes.
For businesses, this approach improves operational efficiency, reduces risk, and enhances decision-making across large-scale infrastructure. Companies can identify potential issues early, optimize resource usage, and maintain higher system reliability without disrupting live operations. It also supports growing demand for scalable AI workloads, enabling multiple processes to run on shared systems while improving overall performance and infrastructure management.
Image Credit: SUSE
For businesses, this approach improves operational efficiency, reduces risk, and enhances decision-making across large-scale infrastructure. Companies can identify potential issues early, optimize resource usage, and maintain higher system reliability without disrupting live operations. It also supports growing demand for scalable AI workloads, enabling multiple processes to run on shared systems while improving overall performance and infrastructure management.
Image Credit: SUSE
Real-time digital twins for data center ops
Helps decide whether to evaluate, pilot, or buy digital twin tools for data center planning and operations in the next 1–2 weeks.
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When was the last time you ran a simulation for a data center change?
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How likely are you to pilot a digital twin for data center ops in the next year?
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Which would you be more likely to simulate next in your data center?
Trend Themes
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Real-time Simulation — Real-time simulation of hardware, thermal, and power behaviors surfaces opportunities for near-instantaneous scenario testing that can shift capital planning and maintenance models.
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Hybrid AI-simulation Stacks — Combining AI platforms with high-fidelity simulation engines creates potential for predictive control layers that reconcile live telemetry with synthetic environments to optimize workloads.
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Digital Twin Orchestration — Orchestrated digital twins spanning compute, cooling, and power systems open possibilities for unified infrastructure replicas that enable cross-domain optimization and resilience modeling.
Industry Implications
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Data Center Operations — Integrated digital twins of racks, cooling, and power infrastructure present opportunities to reduce downtime risk and reshape SLA models through simulation-driven reliability forecasting.
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Cloud Platform Providers — Cloud providers could see shifts in resource allocation economics as simulated multi-tenant workload scheduling enables denser, more predictable infrastructure utilization.
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Energy and Utilities — Modeling data center power flows and thermal impacts alongside grid dynamics reveals potential for new demand-response services and localized microgrid optimization offerings.
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