The Challenge: AI workloads demand massive power and generate extreme heat, making traditional energy management insufficient. Modern AI data centers face the critical challenge of maintaining high uptime while hitting aggressive PUE (Power Usage Effectiveness) targets.
PUE is a critical metric for data center energy efficiency. By leveraging its deep global data center expertise, Moxa delivers industry-trusted solutions for real-time PUE tracking. Integrating EPMS, BMS, and DCIM data enables our technologies to identify inefficiencies early and gain actionable insights into cooling and power performance. Our unified OT connectivity improves data reliability, enhances non-IT infrastructure transparency, and supports stable uptime and performance per watt.
Power Systemsin EPMS |
Cooling Systemsin BMS |
DCIMDCIM |
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| Key Tasks | Track real-time power usage across critical infrastructure, like switchgears, PDUs, UPSs, ATSs, and generators. | Identify hot and cold spots to optimize cooling distribution. | Ensure robust data transfer for seamless monitoring and management. |
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| Proven Solutions | |||
MGate MB3660Modbus Gateways
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Compact, rugged, and ready to deploy: Industrial-grade hardware that fits anywhere and resists everything, featuring plug-and-play tools to eliminate downtime risk.
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Secure, intuitive, and globally trusted: our connectivity solutions simplify management and ensure continuous uptime for AI data centers with built-in diagnostics and robust cybersecurity.
For 38 years, Moxa has been a trusted partner for industrial automation, and provides solutions for edge connectivity, computing, and network infrastructure.
Top Three Cloud Service Providers Use Moxa Products in Their Data Centers
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