Introducing India-based inference for Kimi K3 on Amazon Bedrock
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Amazon Bedrock has introduced India-based inference for the Kimi K3 multi-modal foundation model, allowing customers to process data within Indian regions to meet strict data residency requirements. This new capability supports cross-Region inference profiles that route requests to AWS Mumbai and Hyderabad while keeping data encrypted on the private network. Early adopters like Ultrahuman report significant benefits, including an 80% reduction in LLM costs through prompt caching and faster multi-turn conversations. The article provides a technical walkthrough for using Kimi K3 to perform optical character recognition on Indic-language documents, such as Hindi electricity bills and KYC forms. Developers can utilize OpenAI-compatible APIs to extract structured JSON data and answer follow-up questions in Hinglish without needing separate translation services. The guide also details optimization strategies, including service tier selection for cost or latency management and explicit prompt caching techniques. Finally, it outlines monitoring options via CloudWatch metrics and recommends implementing human review steps for critical automated extraction workflows.
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