Deploy production generative AI at the edge using Amazon EKS Hybrid Nodes with NVIDIA DGX

This article demonstrates deploying production generative AI workloads at the edge using Amazon EKS Hybrid Nodes with NVIDIA DGX systems for on-premises inference.

• EKS Hybrid Nodes joins on-premises infrastructure to AWS EKS control plane as remote nodes
• Enables low-latency AI inference, model training with data residency, and RAG applications locally
• NVIDIA GPU Operator automates lifecycle management of GPU resources and drivers
• NVIDIA NIM microservices deploy optimized LLMs like Qwen3-32B on hybrid nodes
• EKS Node Monitoring Agent detects GPU-specific health issues and node conditions
• NVIDIA DCGM Exporter integrates with Amazon Managed Prometheus and Grafana for GPU observability
• Cilium CNI with BGP control plane enables pod CIDR routing across hybrid networks
• Requires private connectivity via AWS Direct Connect or Site-to-Site VPN to AWS region

EKS Hybrid Nodes simplifies on-premises Kubernetes management while maintaining centralized monitoring and consistent operational practices across distributed cloud and edge environments.