Self-Hosting LLMs on Kubernetes: A Practical Guide
How to deploy, serve, and autoscale open-source large language models on Kubernetes with vLLM — from GPU node pools and deployment manifests to KEDA-based autoscaling and production guardrails.
How to deploy, serve, and autoscale open-source large language models on Kubernetes with vLLM — from GPU node pools and deployment manifests to KEDA-based autoscaling and production guardrails.