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

article ↓ Production AI Patterns That Survive Model Churn lab ↓ Deploy vLLM on EKS checklist ↓ Kubernetes AI Helm Starter article ↓ LLMOps Observability: Metrics That Predict Failure architecture ↓ Kubernetes AI Inference Platform

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