+Modern artificial intelligence (AI) and machine learning (ML) workloads create unprecedented infrastructure coordination challenges in data centers, where training applications can generate power fluctuations exceeding 200 MW within 40 ms intervals—equivalent to a quarter-million people suddenly appearing on the electrical grid. The core problem is that current data center infrastructure lacks standardized mechanisms for distributing critical operational data between workload management systems, power infrastructure, and cooling systems, creating information silos that prevent effective autonomous optimization across the complete workload-to-infrastructure pathway.
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