SustainML Project
Sustainable Machine Learning
About
Sustainable Machine Learning
SustainML is dedicated to creating a sustainable ML framework for Green AI. By prioritizing energy efficiency, SustainML aims to pave the way for environmentally conscious AI solutions that are both efficient and effective.
Model the requirements of specific ML applications.
Collection of efficient methods and cores as catalogs and libraries of energy-optimized parameterized ML models.
Resource-aware optimization methods based on models from previous objectives.
Promotion of distributed, collaborative learning
Latest News
SustainML News
Dive deep into the world of Sustainable Machine Learning and stay up to date with SustainML´s achievements, events, and more.

Achievements, results and future goals of SustainML: Kick-Off 2026 at eProsima

Demo: SustainML Framework Walkthrough | Optimizing ML for Energy Efficiency & Carbon Footprint
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🎥 Demo: SustainML Framework Walkthrough | Optimizing ML for Energy Efficiency & Carbon Footprint
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Videos
Meet our partners: discover their roles in the SustainML project
Events
SustainML's Latest Events

ARCS 2024. HPC - Challenges for Sustainable Computing
- 15 May 2024
- Location: Potsdam, Germany
- Partner Name: DFKI
- Type: Workshop
- Status: Confirmed
- Organized by: Third Party

ROS 2 AI Integration WG
- 26 Sept 2023
- Venue: Online
- Partner Name: eProsima
- Type: Workshop
- Status: Confirmed

UPMEM's Euro-Par Minisymposium: Unleash the Power of PIM!
- 29 Aug 2023
- Location: Limassol, Cyprus
- Partner Name: UPMEM
- Type: Event
- Status: Confirmed








This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070408.