Advanced

Global AI Inference Routing

Route inference requests to the nearest GPU-equipped region, implement automatic failover, and manage consistent model deployments across multiple regions.

Global Load Balancing for Inference

Global inference routing uses DNS-based or anycast load balancing to direct each inference request to the closest healthy GPU region. This reduces network latency and provides automatic failover if a region experiences issues.

Routing Strategies

🌐

Latency-Based Routing

Route to the region with lowest measured latency from the client. Best for real-time inference where every millisecond counts.

📈

Capacity-Aware Routing

Route based on GPU utilization across regions. Prevents overloading one region while others sit idle. Balances cost and latency.

🔒

Geo-Restriction Routing

Route based on data residency requirements. Ensure EU user data stays in EU regions for GDPR compliance while optimizing within allowed regions.

Multi-Region Deployment

Terraform - Global Inference Setup
# Deploy inference endpoints in multiple regions
locals {
  inference_regions = ["us-east-1", "eu-west-1", "ap-northeast-1"]
}

resource "aws_route53_record" "inference" {
  for_each = toset(local.inference_regions)
  zone_id  = aws_route53_zone.main.zone_id
  name     = "inference.example.com"
  type     = "A"

  alias {
    name    = module.inference[each.key].alb_dns_name
    zone_id = module.inference[each.key].alb_zone_id
  }

  latency_routing_policy {
    region = each.key
  }

  set_identifier = each.key

  health_check_id = aws_route53_health_check.inference[each.key].id
}

Failover and Resilience

Health checks monitor each regional inference endpoint. When a region fails, DNS automatically routes traffic to the next closest healthy region. Implement circuit breakers at the application level for faster failover than DNS TTL allows.

✅
Best practice: Deploy inference endpoints in at least three regions to ensure you always have nearby capacity even during a regional outage. Use the same model version across all regions and deploy updates using a rolling strategy that keeps at least two regions running the old version until the new one is validated.