Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
arXiv:2605.13981v1 Announce Type: new
Abstract: The rise in deployment of large language models has driven a surge in GPU demand and datacenter scaling, raising concerns about electricity use, grid stress, and the impacts of modern AI workloads. Disti…