Kubernetes is the de-facto standard for deploying applications and microservices. However, AI workloads are different. Developing AI models is an interactive and resource-intensive process, requiring a fundamentally different approach to the deployment and management of resources.In this blog, we:Discuss the strengths and weaknesses of Kubernetes for AI workloads.Introduce SkyPilot to run AI easily and cost-effectively on Kubernetes and beyond.Provide a step-by-step guide to run the entire AI li...