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Shawn Blanton

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#machine learning Preprint Aug 2026

Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms

Results show that energy-aware serving should jointly optimize both request energy and token energy, rather than only reducing per-token energy cost, and substantially narrows the dense-vs-MoE token-energy gap.

P. Vellaisamy, Vanessa Lam, Shawn Blanton et al. · 0 citations