ML.ENERGY Initiative
The ML.ENERGY Initiative aims to precisely measure, understand, optimize, and expose modern ML energy consumption.
Collective -
Host: opensource -
https://opencollective.com/ml-energy
- Website: https://ml.energy/
- Code: https://github.com/ml-energy
github.com/ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
Stars: 371 - Last synced: 12 Aug 2026
github.com/ml-energy/benchmark
A time & energy benchmark suite for generative AI
Stars: 17 - Last synced: 17 Aug 2026
github.com/ml-energy/leaderboard
How much time and energy do modern generative AI models consume?
Stars: 12 - Last synced: 12 Aug 2026
github.com/ml-energy/lowtime
A time-cost tradeoff problem solver
Stars: 11 - Last synced: 12 Aug 2026
github.com/ml-energy/zeus-apple-silicon
Zeus device support for Apple Silicon
Stars: 5 - Last synced: 26 Jul 2026
github.com/ml-energy/gpu_power_monitor_tui
Draws GPU power over time on the terminal
Stars: 3 - Last synced: 12 Aug 2026
github.com/ml-energy/merak-zeus
HPDL-Group/Merak integrated with ml-energy/zeus
Stars: 3 - Last synced: 12 Aug 2026
github.com/ml-energy/ml-energy.github.io
Source for the ML.ENERGY homepage
Stars: 1 - Last synced: 12 Aug 2026
github.com/ml-energy/text_generation_energy
Fork of text_generation with per-token energy information
Stars: 1 - Last synced: 12 Aug 2026
github.com/ml-energy/vllm
vLLM with per-token energy measurement
Stars: 0 - Last synced: 08 Aug 2026