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Claude Models Now Run Inside India via Amazon Bedrock

Short answer

AWS added India geographic cross-Region inference for Anthropic's Claude Opus 5, Sonnet 5 and Haiku 4.5 on Amazon Bedrock. Requests now route only between Mumbai (ap-south-1) and Hyderabad (ap-south-2), keeping prompts and outputs inside India. This matters for companies that must process customer data locally but still want Claude-powered automation.

What this means for operators

For a 10-200 person B2B company serving Indian customers, or bound by contracts that require in-country data processing, this removes a real obstacle to using Claude for support or sales automation: previously, routing through Bedrock could mean your prompts and outputs left India. Now you can select the IN inference profile in the console or API and get the same models with inference confined to ap-south-1 and ap-south-2. Billing, quotas, and CloudWatch/CloudTrail logs stay attached to your source region, so monitoring and cost tracking don't fragment across geographies. Teams building a Claude-based support bot or sales assistant for an Indian entity can now do so without a separate compliance workaround or a different model vendor.

AWS has extended Amazon Bedrock's geographic cross-Region inference to India, making Anthropic's Claude Opus 5, Claude Sonnet 5 and Claude Haiku 4.5 available with in-country processing.

The India profile routes requests only between the Mumbai (ap-south-1) and Hyderabad (ap-south-2) regions. Inputs and outputs may move between those two regions but, according to AWS, do not leave India. This sits alongside the existing global cross-Region inference option, giving customers a choice when local processing is a requirement rather than a preference.

Access works the same way as other Bedrock inference profiles: through the console playground by selecting the "IN" variant of a model, or programmatically via Anthropic's Messages API, or Bedrock's native InvokeModel and Converse APIs. Bedrock features like Guardrails and intelligent prompt routing carry over.

On data handling, AWS says cross-Region inference runs over its encrypted internal network and that customer data is not stored in a destination region — it stays in the source region. Bedrock's default zero data retention model means inputs and outputs are not stored, though AWS notes certain models require human review if content is flagged by automatic safety classifiers. Billing, quota consumption, and CloudWatch/CloudTrail logging remain tied to the account's source region regardless of which backend region actually served the request.

AWS frames the change around scale and resilience: distributing inference across two regions instead of depending on capacity in one helps maintain throughput during traffic peaks, while still satisfying a need to keep data processing inside a specific geography.

Source: AWS Machine Learning Blog

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