Perspective: Data-Driven Cost Allocation for Shared ML Infrastructure
Abstract
We outline algorithms for proportional cost attribution across teams using GPU hours and storage metrics to optimize budget transparency.
Cite this article
Usman, A., Grimaldi, I., & Dumont, L. (2023). Perspective: Data-Driven Cost Allocation for Shared ML Infrastructure. Research Explorations in Global Knowledge & Technology (REGKT), 2 (10). Retrieved from https://regkt.com/article.php?id=498&slug=perspective-data-driven-cost-allocation-shared-ml-infrastructure