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Proportional Cost and Energy Allocation for Local Sovereign AI Nodes: A Comparative Study of a 496-GPU Hopper-Class Data-Center Cluster, DGX Station GB300, and DGX Spark

descriptionPublicationkeyboard_double_arrow_right Preprint Under curation English Publisher:Zenodo
Authors: Pavlenko, Alexandr;

doi: 10.5281/zenodo.20569427

Proportional Cost and Energy Allocation for Local Sovereign AI Nodes: A Comparative Study of a 496-GPU Hopper-Class Data-Center Cluster, DGX Station GB300, and DGX Spark

Abstract

This paper proposes a neutral proportional-allocation method for comparing large GPU data-center clusters with local AI nodes without treating unlike systems as direct substitutes.

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