How to run AI model inference with GPUs on Amazon EKS Auto Mode

This article explains how to run AI model inference with GPUs on Amazon EKS Auto Mode, highlighting a simplified approach to deploying machine learning workloads on Kubernetes.

• EKS Auto Mode automates node creation, manages core capabilities, and handles upgrades and security patching
• Key features include dynamic autoscaling with Karpenter, automatic GPU failure handling, and pre-configured AMIs for accelerated instances
• The walkthrough demonstrates deploying an open-source large language model (LLM) using vLLM on a GPU-enabled EKS cluster
• Techniques for reducing model cold start time include storing container images in Amazon ECR and prefetching model artifacts using AWS storage options
• The approach simplifies GPU infrastructure management, allowing teams to focus on building and scaling AI workloads

EKS Auto Mode provides a streamlined solution for running GPU-powered AI inference workloads with minimal operational overhead.