Organizations are increasingly adopting generative AI to improve customer experiences and drive innovation. However, with the expansion of AI workloads, ensuring consistent performance and reliability poses new challenges. To tackle this, Amazon has introduced cross-Region inference (CRIS) for Amazon Bedrock, which automatically routes inference requests across multiple regions. This capability allows applications to efficiently manage traffic surges without the need for complex load-balancing.

The latest announcement includes global cross-Region inference with Anthropic’s Claude Sonnet 4.5, enabling users to select either geography-specific or global inference profiles. This feature optimizes resource utilization and enhances model throughput, particularly during peak usage times. Key benefits of global CRIS include improved performance, cost efficiency, streamlined monitoring, and flexibility to handle high-volume workloads.

To implement global CRIS, developers can utilize a simple setup process, including specifying the global inference profile ID in API calls and ensuring the correct IAM permissions. This innovation significantly enhances the resilience of AI applications, making it particularly suitable for business-critical environments.

For those using Anthropic’s models, transitioning to Claude Sonnet 4.5 is an excellent opportunity to leverage its advanced capabilities in coding and complex task management. Overall, the global cross-Region inference feature underlines AWS’s commitment to making deployment of generative AI models more efficient and scalable.