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Explore a practical implementation of AI agents designed for multi-provider cloud edge continuum environments in this 22-minute conference talk from the Linux Foundation's Open Source Summit. Discover how the 8RA program leverages both machine learning and generative AI to address complex scenarios in cloud infrastructure federation, automated service requests, and intelligent application allocation to edge sites. Learn about an innovative architecture centered on collaborative AI agents that handle diverse tasks from application deployment file generation to site prediction for optimal application placement based on natural language user requests. Examine the LANE (Language-to-Action Neural Engine) agent that processes user requests expressed in natural language, and understand the Placement agent's role in providing optimal edge site recommendations while maximizing energy efficiency through AI-driven energy consumption prediction and resource allocation optimization. Gain insights into how this open-source approach enhances the sustainability of cloud services while enabling seamless multi-provider cloud edge operations.
