How does multi-tenant isolation architecture ensure safety and performance in ChatGPT deployments?

Multi-tenant isolation separates workloads, memory, and compute resources across users to ensure security and performance stability.

ChatGPT systems serve many users simultaneously in a multi-tenant architecture. Isolation is required to prevent data leakage, resource contention, and performance interference.

Isolation is enforced at multiple layers: request-level isolation, memory isolation (KV-cache separation), compute isolation (GPU scheduling), and network isolation (API gateway segmentation).

This ensures one tenant's workload cannot degrade or access another tenant’s data, while still maximizing shared infrastructure efficiency.