Multi-Tenant LLM Hosting

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

Isolation Model

• Strong tenant identity on every request
• Per-tenant API keys and scoped model access
• Namespace or workload isolation for high-risk tenants
• Strict data retention and log partitioning controls

Noisy-Neighbor Controls

• Per-tenant RPM/TPM limits
• Concurrency caps and queue isolation
• Fair scheduling with weighted priority classes
• Backpressure and graceful degradation policies

Billing and Chargeback

Track per-tenant:

• prompt/completion/cached tokens,
• model type and route,
• latency and success rate,
• cost with markup or internal transfer pricing.

Security Baseline

• Encrypt data in transit and at rest.
• Disallow cross-tenant cache leakage.
• Restrict debug data access by role.
• Audit all privileged administrative actions.

Operational Runbook

1. Onboard tenant with policy template.
2. Issue virtual key and quota profile.
3. Validate observability and billing tags.
4. Run tenant-specific load/safety tests.
5. Enable production traffic with canary limits.

Related Skills

• llm-gateway - Key management and traffic routing
• llm-cost-optimization - Cost controls and optimization tactics
• zero-trust - Identity-centric network and access patterns