From IDP to AIDP: Evolving Your Platform for the Machine Learning Age - Max Körbächer

This talk addresses the evolving challenges faced by Internal Developer Platforms (IDPs) in supporting both traditional and AI development capabilities. The speaker shares insights from hands-on experience in building enterprise platforms, exploring how to adapt IDPs for AI workloads without disrupting existing functionalities. Key topics include managing specialized hardware resources, implementing efficient CI/CD for machine learning models, and enhancing developer experiences across both traditional and AI workflows. Attendees will learn effective strategies for GPU sharing, model deployment management, and creating self-service tools for diverse developer personas, alongside patterns for platform evolution and metrics to assess platform effectiveness in the AI era.