Adaptive Machine Learning Model Deployment Pipeline

Design a comprehensive machine learning model deployment framework that supports continuous model training, automated versioning, and intelligent rollout strategies. Create a system that can automatically detect model performance degradation, trigger retraining workflows, and manage model lifecycle with minimal human intervention. Include robust A/B testing capabilities, performance monitoring, and support for multiple model types across different computational environments.