Multi-Tenant LLM Hosting

Host many teams/customers on shared inference infrastructure without sacrificing security, performance, or cost governance.

Prerequisites

• Kubernetes cluster with GPU node pools
• API gateway or LLM gateway (LiteLLM, Bifrost, Envoy, Kong)
• Prometheus + Grafana for per-tenant observability
• Redis or equivalent for rate limiting state
• Billing system or cost attribution database

Isolation Model

• Strong tenant identity on every request
• Per-tenant API keys and scoped model access
• Namespace/workload isolation plus enforced network and storage boundaries; shared engine/GPU memory may require separate processes or nodes for high-risk tenants
• Strict data retention and log partitioning controls