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

• Onboard tenant with policy template.

• Issue virtual key and quota profile.

• Validate observability and billing tags.

• Run tenant-specific load/safety tests.

• 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