Open leaderboard that rates the energy efficiency of AI models for inference.
- Pricing
- Free
- Category
- AI Energy Monitoring
- Compliance
- Not stated
Category
Tools that measure and reduce the energy consumption of AI workloads, model training and inference.
Showing 12 of 12
Open leaderboard that rates the energy efficiency of AI models for inference.
Open-source tool that tracks and predicts energy use and carbon footprint of model training.
Open-source Python library that estimates the carbon emissions of compute.
Python library for tracking the CO2 emissions of machine learning models.
Open-source library and API for estimating the environmental footprint of generative AI inference.
Drop-in tracker for the energy use, carbon emissions and compute utilization of ML experiments.
Carbon footprint calculators and HPC energy dashboards for computational science.
Developer tool for measuring the energy and CO2 consumption of software through lifecycle analysis.
Calculator and reporting template for the carbon emissions of machine learning training.
Metrology agent exposing power and energy consumption metrics for hosts and virtual machines.
Python library and CLI that tracks device energy consumption and estimates carbon emissions.
Open-source toolkit for measuring and optimising the energy consumption of AI applications.