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The colocation data center market, representing 38% of the industry, faces significant challenges in managing power capacity portfolios and optimizing resource allocation. This article explores a novel technology-driven portfolio approach that leverages agentic AI for data extraction and system abstraction, facility digitization with metaverse, and microclimate platforms to address the challenges across data center capacity segments. The proposed approach, enabled by large language models and agentic AI, generates demand insights, assesses power consumption patterns, identifies SLA violations, and explores supply constraints along spatial, resource, and power axes. This solution is devised to autonomously extract, analyze and interpret complex data from diverse sources, providing a clear path toward optimizing resource allocation, maximizing capacity utilization, and driving sustainable growth in the rapidly expanding colocation data center market.
