Energy-Efficient ML Workloads in Docker: Measurement and Evaluation using EnergiBridge

Ahmed Driouech, Ahmed Ibrahim, Taoufik el Kadi, Moegiez Bhatti.

Paper.Source code.

This project measures energy use of ML workloads in Docker, showing CPU-optimized containers reduce power consumption across models and OSs.