# Introducing India-based inference for Kimi K3 on Amazon Bedrock

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/introducing-india-based-inference-for-kimi-k3-on-amazon-bedrock
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/introducing-india-based-inference-for-kimi-k3-on-amazon-bedrock/)
> **Author**: Naomi Teng (undefined)
> **Published Date**: Tuesday, November 3, 2026
> **Category**: INDUSTRY
> **Tags**: AI, AWS ML Blog, industry

## Executive Summary
Amazon Bedrock now offers in-country inference in India for Kimi K3, keeping processing within the Mumbai and Hyderabad Regions. This post explains the global and geographic cross-Region inference options and shares example code for reading and understanding...



## Full Coverage
Kimi K3 is a multi-modal, open-weight foundation model (FM) that provider Moonshot AI reported achieved frontier-level coding and general agentic intelligence at release

In addition to global and US-based inference, Amazon Bedrock now supports in-country inference in India for Kimi K3: unblocking local workloads with strict data residency requirements. Customers like Ultrahuman are already seeing the benefits in production:

"Jade, an AI Health and Wellness assistant in the Ultrahuman app, answers questions in plain language using each person's own Ring and glucose data, across more than 14,000 conversations a day. Kimi K3 on Amazon Bedrock let us add a leading open-weight model through the API we already use, with health data staying inside AWS and Mumbai as a fallback Region. With prompt caching, we've cut LLM costs by 80 percent and made multi-turn chats 85 percent faster."

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