GreenSys: 2nd International Workshop on Systems and Methods for Sustainable Large-Scale AI

The GreenSys workshop, colocated with EuroSys 2026, aims to foster dialogue between systems and Artificial Intelligence (AI) researchers to identify solutions to key sustainability challenges in AI, ensuring a more sustainable future for AI development and deployment.

The rapid expansion of Machine Learning (ML) and AI applications has brought significant sustainability challenges. These advanced computational models, with their intensive processing and data requirements, have substantially increased the energy consumption and carbon footprint of backend IT infrastructures.

The sustainability of large-scale AI systems is particularly challenging due to the diversity in hardware architectures, software stacks, and model complexities. This variability necessitates innovative approaches to enhance energy and carbon efficiency throughout the AI model lifecycle. Addressing these challenges requires advancements in AI algorithms, hardware, and runtime systems that oversee complex cyber-physical infrastructures. Solutions must be data-driven and incorporate cross-layer optimization across models, hardware, software stacks, and energy sources.

GreenSys 2026 will feature:

1. Invited Talks: Presentations from leading industry practitioners and academic researchers.
2. Workshop Proceedings: Presentations of accepted papers from workshop.
3. Lightning Talks: Short presentations showcasing emerging ideas, provocative visions, or lessons learned from practice.

Join us at GreenSys in Edinburgh to contribute to the conversation and drive innovation towards a greener AI future.