Learn how to evolve Internal Developer Platforms (IDPs) into AI-ready platforms that support both traditional and machine learning workflows in this 16-minute conference talk. Discover practical strategies for managing specialized hardware resources like GPUs, implementing efficient CI/CD pipelines for ML models, and creating enhanced developer experiences that accommodate diverse development needs. Explore approaches to GPU sharing, model deployment management, and self-service capabilities designed for different developer personas. Gain insights into platform evolution patterns, examine real-world examples of AI-ready IDPs, and understand frameworks for measuring platform effectiveness in supporting machine learning workloads while maintaining existing functionality.