AI Energy Monitoring

Zeus

Open-source toolkit for measuring and optimising the energy consumption of AI applications.

Verified 2026-10-22

Overview

Zeus is an open-source project from the ml-energy GitHub organisation for measuring and optimising the energy consumption of AI applications. The repository presents the toolkit as a way to measure and optimise energy consumption, aimed at AI researchers and engineers who want to understand the power and energy cost of training and inference workloads and reduce it.

Use cases

  • Measure GPU energy consumption of AI workloads
  • Optimise AI training energy use
  • Compare energy across configurations
  • Profile inference energy cost

Sources

More in AI Energy Monitoring

Category page →

Open-source tool that tracks and predicts energy use and carbon footprint of model training.

Pricing
Free
Category
AI Energy Monitoring
Compliance
Not stated
Verified 2026-10-22Website

Open-source Python library that estimates the carbon emissions of compute.

Pricing
Free
Category
AI Energy Monitoring
Compliance
Not stated
Verified 2026-10-22Website

Python library for tracking the CO2 emissions of machine learning models.

Pricing
Free
Category
AI Energy Monitoring
Compliance
Not stated
Verified 2026-10-22Website