Deploying Distributed vLLM Clusters on Kubernetes with GPU Auto-scaling
Here is our production GitOps setup for managing high-availability GPU inference nodes across multiple Kubernetes clusters using KEDA and the NVIDIA GPU Operator. Key Components 1. Node Provisioning: Spot GPU instances with Karpenter on AWS
61
4