Containerized ML Deployment with Docker and ZFS

This chapter explores the use of Docker containers for deploying machine learning models, emphasizing immutability and reproducibility. It discusses the integration of ZFS for data versioning, enhancing collaborative workflows within a containerized environment. The chapter highlights model optimization strategies, Kubernetes deployment, and performance monitoring for effective AI deployment.