Benefits of Kubernetes for AI and ML Workloads

This chapter explores the advantages of using Kubernetes for running AI and ML workloads, including efficient sharing of infrastructure and the use of Nvidia's device plugins for concurrent sharing of GPUs. It also highlights Kubeflow, an open-source project for building ML pipelines on Kubernetes, and introduces the concept of using pipelines in training for better data transformation and understanding.