The Language-Energy Divide: Measuring Energy Costs of Multilingual LLM Inference
It is revealed that the energy divide persists across models, hardware, and tasks, suggesting a systemic energy inequity in multilingual LLM deployment and is recommended that the community treat energy as a first-class evaluation axis, extend reporting checklists and model cards to include it, and adopt deployment-sid...