Architecture Library · Advanced

Kubernetes AI Inference Platform

GPU scheduling, vLLM serving, autoscaling, and observability for production LLM workloads on EKS.

Cloud infrastructure
Control plane vs data plane — where platform teams spend most engineering time.

Overview

graph LR ING[Ingress] --> GW[AI Gateway] GW --> VLLM[vLLM on GPU nodes] VLLM --> OTEL[OpenTelemetry]

Platform view

Use Karpenter for GPU burst capacity — not fixed node pools.

Knowledge Graph

Related

AI is easy. Running it in production is hard.