Multi-Tenant LLM Hosting Host many teams/customers on shared inference infrastructure without sacrificing security, performance, or cost governance. When to Use This Skill - Building an internal LLM platform shared by multiple teams - Hosting LLM inference for external customers with isolation requirements - Implementing per-tenant quotas, billing, and rate limiting - Designing request routing for multi-model, multi-tenant environments - Preventing noisy-neighbor issues on shared GPU infrastructure Prerequisites - Kubernetes cluster with GPU node pools - API gateway or LLM gateway (LiteLLM, E…