Run GenAI inference across environments with Amazon EKS Hybrid Nodes

This article discusses how to run generative AI inference workloads across cloud and on-premises environments using Amazon EKS Hybrid Nodes. The solution enables organizations to extend Kubernetes clusters seamlessly between AWS and on-premises infrastructure.

• EKS Hybrid Nodes allow running AI/ML workloads with benefits like: • Reduced latency by running services closer to users • Supporting data residency requirements • Utilizing existing on-premises hardware • Leveraging AWS Cloud's compute elasticity
• Key technical steps include: • Creating an EKS cluster with Hybrid Nodes and Auto Mode • Preparing on-premises nodes with NVIDIA drivers • Installing NVIDIA device plugin for Kubernetes • Deploying NVIDIA NIM (inference microservice) across hybrid and cloud nodes
• The solution demonstrates running the same AI model on both on-premises EKS Hybrid Nodes and AWS cloud-based EKS Auto Mode nodes within a single Kubernetes cluster

By using EKS Hybrid Nodes, organizations can create a unified Kubernetes environment that simplifies management and reduces operational complexity for AI workloads.