A Device-Centric Approach to AI Infrastructure Efficiency and Reliability

AI workloads are pushing data center energy consumption, cooling demands, and hardware reliability to new limits. Traditional DCIM solutions provide facility-wide metrics, which are not sufficient for dense AI infrastructures. Single-vendor server management tools struggle in heterogeneous environments, while agent-based solutions often introduce performance overhead and security vulnerabilities. This technical guide explores a device-centric approach to managing AI infrastructure—covering real-time power and thermal monitoring, liquid cooling oversight, failure prevention, and compliance with evolving sustainability regulations. Learn how data center operators can enhance efficiency, improve reliability, and save millions of dollars in annual CapEx and OpEx expenditures.

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