This guide offers a hands-on walkthrough for setting up an Amazon Elastic Kubernetes Service (EKS) cluster optimized for real-time online inference workloads, incorporating best practices curated by {aws} experts throughout. It uses an opinionated EKS Quickstart Architecture—a curated set of drivers, instance types, and configurations aligned with {aws} best practices for models, accelerators, and scaling. This approach helps you bypass the task of selecting cluster settings, allowing you to get a functional, pre-configured cluster up and running quickly. Along the way, we'll deploy sample workloads to validate your setup, explain key architectural concepts (such as decoupling CPU-bound tasks from GPU-intensive computations), address common questions (e.g., why choose Bottlerocket AMI over AL2023?), and outline next steps to extend your cluster's capabilities.
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