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This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision notebooks and craft both serving and training scripts, RayOperator to manage Ray Clusters and Karpenter to manage Node Scaling.
Step by step tutorial for who have no experience to Amazon EKS. After finished the tutorial, you should be able to run general workload with Amazon EKS. Hope you enjoy the journey.
This boilerplate contains terraform configurations for the rapid deployment of a Kubernetes cluster, supporting services, and the underlying infrastructure in AWS.