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.
Integration of FPGA-Based Carbon Estimation for Energy-Aware AI Evaluation
SustainML has successfully integrated FPGA-based hardware estimation into its AI sustainability evaluation pipeline, enabling more accurate energy and carbon footprint analysis for CNN models deployed...
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Achievements, results and future goals of SustainML: Kick-Off 2026 at eProsima
On February 5th, 2026, eProsima held its internal SustainML 2026 Kick-Off Meeting, bringing together the team involved in the project to review the progress achieved during 2025 and to align on object...
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Demo: SustainML Framework Walkthrough | Optimizing ML for Energy Efficiency & Carbon Footprint
In this demo, we provide a complete walkthrough of the SustainML User Interface, a framework designed to prioritize energy efficiency and reduce the carbon footprint of machine learning applications.
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Videos
Meet our partners: discover their roles in the SustainML project
Events
SustainML's Latest Events
Sustainable Artificial Intelligence for Sciences (SAINTS) 2026
- 6 March 2026
- Venue: Ole Maaløes Vej 5, Biocenter, University of Copenhagen in Room BI-2-1-07/09
- Location: University of Copenhagen
- Partner Name: University of Copenhagen
- Type: Workshop
- Status: Confirmed
- Organized by: SUSTAIN ML partner
- Event Website: https://saintslab.github.io/workshop2026/
SAINTS’26 brings researchers and practitioners together to discuss how we can reduce the computational and environmental footprint of modern ML, while still pushing scientific discovery forward.
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ARCS 2024. HPC - Challenges for Sustainable Computing
- 15 May 2024
- Location: Potsdam, Germany
- Partner Name: DFKI
- Type: Workshop
- Status: Confirmed
- Organized by: Third Party
37th GI/ITG International Conference on Architecture of Computing Systems
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ROS 2 AI Integration WG
- 26 Sept 2023
- Venue: Online
- Partner Name: eProsima
- Type: Workshop
- Status: Confirmed
Accelerate and improve the energy efficiency of AI applications with UPMEM PIM
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This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070408.