📄 中文摘要
在南非（af-south-1区域）利用Amazon Bedrock的全球跨区域推理能力，集成Anthropic Claude 4.5模型，能够实现大规模的AI应用部署。此方案详细阐述了全球跨区域推理如何智能路由请求，确保数据驻留符合特定区域要求，这对于满足数据主权和合规性至关重要。配置过程中，需要对AWS Identity and Access Management (IAM) 权限进行精细设置，以授权对Claude 4.5模型的访问。具体操作涉及创建角色、策略，并附加必要的权限，例如`bedrock:InvokeModel`，从而确保安全且受控的模型调用。
📄 English Summary
Scale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models
Scaling AI applications in South Africa (af-south-1 region) leverages Amazon Bedrock's global cross-Region inference capabilities with Anthropic Claude 4.5 models. This approach details the mechanics of how global cross-Region inference intelligently routes requests, ensuring data residency compliance—a critical aspect for data sovereignty and regulatory adherence. The configuration process mandates meticulous setup of AWS Identity and Access Management (IAM) permissions to authorize access to Claude 4.5 models. This involves creating roles and policies, and attaching necessary permissions such as `bedrock:InvokeModel`, thereby ensuring secure and controlled model invocation. By utilizing the Amazon Resource Name (ARN) of the Global Inference Profile, Claude 4.5 models can be directly invoked, simplifying the management and access of cross-Region resources. As workload demands escalate, requesting quota increases becomes necessary, typically managed via the AWS console or API, to ensure sufficient resources for concurrent model inference requests. This implementation guide provides a comprehensive walkthrough, from permission configuration to model invocation and quota management, culminating in a functional global cross-Region inference system within af-south-1. This empowers enterprises to harness AWS's global infrastructure while delivering low-latency, high-availability AI services in specific regions like South Africa, particularly beneficial for scenarios involving sensitive data or local regulatory compliance. This methodology effectively overcomes geographical limitations in AI model inference, providing robust technological support for AI innovation across the African continent.