Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers
Krishna Chaitanya Sunkara
TL;DR
This paper introduces DCIM 3.0, a comprehensive framework for AI data center management that combines semantic reasoning, predictive analytics, and autonomous orchestration to improve automation, sustainability, and digital twin capabilities.
Contribution
It presents a novel unified DCIM framework integrating knowledge graphs, thermal modeling, and a new connectivity protocol for next-generation AI data centers.
Findings
Enhanced infrastructure automation and sustainability
Effective digital twin implementation for AI data centers
Improved thermal management and device connectivity
Abstract
This work presents DCIM 3.0, a unified framework integrating semantic reasoning, predictive analytics, autonomous orchestration, and unified connectivity for next-generation AI data center management. The framework addresses critical challenges in infrastructure automation, sustainability, and digital-twin design through knowledge graph-based intelligence, thermal modeling, and the Unified Device Connectivity Protocol (UDCP).Keywords-Data Center Infrastructure Management, DCIM, AI Data Centers, Knowledge Graphs, Digital Twin, Thermal Management, Infrastructure Automation, Sustainability, GPU Computing, Data Center
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Taxonomy
TopicsCognitive Computing and Networks · Graph Theory and Algorithms · Advanced Graph Neural Networks