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From data localisation to AI localisation: Why inference is moving to India

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From data localisation to AI localisation: Why inference is moving to India

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From data localisation to AI localisation: Why inference is moving to India

As AI moves into regulated industries, companies are looking beyond where data is stored to where models process it. In-country inference is emerging as a new layer of AI sovereignty

AI localisation is expanding from where data is stored to where AI models process it

Harsh Shivam New Delhi 7 min read Last Updated : Oct 06 2026 | 3:45 PM IST

The location of artificial intelligence (AI) processing is becoming a new consideration for companies deploying models in India. Anthropic has brought in-country inference for Claude to India through Amazon Bedrock, allowing requests made through an India endpoint to be processed across AWS regions in Mumbai and Hyderabad. OpenAI models are also available through Amazon Bedrock with India geographic inference, with requests routed between the same two regions.

The shift changes the scope of the data localisation debate. Earlier, the main question for an enterprise was where its data was stored. With AI systems, another question is where the model processes that data and generates a response.

That distinction matters for companies handling financial, health, government or other sensitive information. It also affects latency, access to computing capacity, regulatory compliance and the ability to control how AI systems operate.

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