{
  "id": 17989145,
  "title": "Introducing India-based inference for Kimi K3 on Amazon Bedrock",
  "url": "https://urgent.news/2026/11/03/introducing-india-based-inference-for-kimi-k3-on-amazon-bedrock",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-03T16:32:54.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/introducing-india-based-inference-for-kimi-k3-on-amazon-bedrock/"
  },
  "original_language": "en",
  "account": "Amazon Bedrock now offers in-country inference for the multi-modal, open-weight foundation model Kimi K3 in India. This enables local workloads with strict data residency requirements, such as an AI health and wellness assistant in Ultrahuman's app. Kimi K3 can process Indic-language documents, like scanned Hindi documents, and answer follow-up questions in mixed Hindi and English (Hinglish). To use this, AWS customers must have an AWS account, Python 3.11 or later, and the AWS Command Line Interface. IAM permissions are required to invoke the Kimi K3 model through the India inference profile in the ap-south-1 Mumbai Region. The code provided uses the openai Python library to invoke the model through the Bedrock Runtime endpoint.",
  "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 Indic-language documents with Kimi K3.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}