arxiv
PublishedMay 14, 2026 at 4:00 AM
EnergyLens: Interpretable Closed-Form Energy Models for Multimodal LLM Inference Serving
Publisher summary· verbatim
arXiv:2605.10556v2 Announce Type: replace-cross Abstract: As large language models span dense, mixture-of-experts, and state-space architectures and are deployed on heterogeneous accelerators under increasingly diverse multimodal workloads, optimising inference energy has become as critical as optim
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution10harxivToward a Modular Architecture for Embedded AI Agent Systems at the Edge10harxivA Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation10harxivAnomalies in Multivariate Time Series Benchmarks Are Mostly Univariate10hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗