What is multi-region ML deployment architecture?

Multi-region ML deployment distributes inference infrastructure across multiple geographic regions for resilience and low latency.

Multi-region architecture ensures high availability and reduced latency by deploying ML services closer to users. It involves data replication strategies, regional model consistency, traffic routing via DNS or global load balancers, and failover mechanisms. Challenges include model version synchronization, data consistency across regions, and handling regional drift differences.