What changed
AWS has introduced India-based inference for Kimi K3 on Amazon Bedrock, allowing customers to run the model within India's data residency constraints. This expansion adds the India geographic inference profile, which routes inference processing to Mumbai and Hyderabad Regions. Customers like Ultrahuman have already seen benefits, including reduced LLM costs and faster response times.
What this means in practice
The India-based inference option is available through cross-Region inference profiles, managed by AWS. Customers can invoke the model from any AWS Region, with processing occurring in designated destination Regions. The India geographic inference profile ensures that all data remains within India, meeting strict data residency requirements. This is particularly beneficial for applications involving sensitive data, such as health and wellness services, where data must stay within the country.
Limitations and availability
The India geographic inference profile is available for Kimi K3 on Amazon Bedrock and requires specific IAM permissions to access. Customers must configure their AWS CLI with the appropriate policies to use the India inference profile. The model is available through the Bedrock Runtime endpoint, supporting OpenAI-compatible APIs for integration. The full source code for example use cases, such as Indic-language document understanding, is available on GitHub. The India-based inference option is recommended for use cases requiring data residency compliance and is part of the broader global inference options available for Kimi K3.
