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
@article{arxiv.2601.04750,
title = {Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers},
author = {Krishna Chaitanya Sunkara},
journal= {arXiv preprint arXiv:2601.04750},
year = {2026}
}
Comments
71 pages, 10 figures, 5 tables, 9 chapters including cases study. Published independently under Creative Commons BY 4.0. Includes comprehensive technical diagrams, quantitative models, JSON schema specifications, and production deployment validation.This is comprehensive manuscript synthesizing original research and systems engineering practices in AI Scale data center infrastructure management