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Sohan Maheshwar - 1 month ago
Optimizing your AI/ML workloads for sustainability
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
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