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
