How do you design multi-region deployment for LLM applications?

Multi-region LLM deployment ensures low latency and high availability using geo-routing, replicated inference stacks, and synchronized model versions.

In multi-region LLM systems, inference infrastructure is deployed across multiple geographic regions to reduce latency and improve fault tolerance. Requests are routed using geo-DNS or latency-based load balancers. Each region maintains replicated model endpoints, vector databases, and caching layers. The biggest challenge is keeping model versions, prompts, and embeddings synchronized across regions while avoiding drift.