Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models

This article explains how to use Amazon Bedrock's global cross-Region inference feature with Claude 4.5 models in South Africa's Cape Town Region (af-south-1).

• Global cross-Region inference automatically routes requests to optimal AWS Regions worldwide for higher throughput
• Supports Claude Sonnet 4.5, Haiku 4.5, and Opus 4.5 models from Cape Town Region
• CloudWatch and CloudTrail logs remain centralized in af-south-1 for simplified monitoring
• Data at rest stays in source Region; inference processing can occur in other Regions
• Requires three IAM policy statements for Regional profile, Regional model, and global model access
• Supports prompt caching, batch inference, Guardrails, and Knowledge Bases
• Request quota increases through AWS Service Quotas console using token burndown calculations

Global cross-Region inference enables South African developers to scale AI applications with improved resilience and throughput while maintaining data security and compliance considerations.