DOE OSTI · 3029602
Reliable Integration of AI Data Centers at Scale – Analysis, Modeling and Synthetic Data Generation
Abstract
This report analyzes the power consumption of large dynamic digital loads using the open-source MIT supercloud and SURF datasets. With an emphasis on the MIT data, we calculate important power consumption characteristics to help system operators improve generation planning and resource allocation. We also introduce a rudimentary model for generating synthetic load profiles.
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Nandanoori, Sai Pushpak [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000280065394), Huang, Bowen [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Hossain, Ramij Raja [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000302247245), Adetola, Veronica A. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]. 2025-10-29. Reliable Integration of AI Data Centers at Scale – Analysis, Modeling and Synthetic Data Generation. https://doi.org/10.2172/3029602
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