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ML models are becoming larger and more complex. Because of the energy and resources they require, their carbon footprint is increasing sharply. In this session, learn how to optimize your AI/ML workloads for sustainability using architectural best practices from AWS Well-Architected. Learn about practical measures you can deploy today to reduce the environmental impact of your models at all steps of the ML lifecycle. The key takeaways are: -The role of AI/ML in sustainability challenges -How to optimize ML workloads for sustainability -Optimizing along the ML lifecycle -Sustainability transformation