OpenAI Brings Local AI Processing To India, Lets Businesses Run GPT-6 Luna Workloads In-Country
Last Updated: 2026-11-12 12:37:19
OpenAI has announced local AI processing and inference for its API in India, allowing eligible businesses and developers to process supported AI workloads within the country.
The company said the capability is initially available for its GPT-6 Luna model and is aimed at organisations that have data localisation or in-country processing requirements. The move could be particularly relevant for businesses in sectors such as financial services, where restrictions around where data is processed can influence whether an AI application is deployed in production.
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The announcement goes beyond simply storing customer data in India. For supported workloads, OpenAI said both the processing of an API request and the model computation used to generate its response will take place within India.
This means an organisation using the supported API setup can keep the relevant processing inside the country rather than sending the request to an OpenAI processing location outside India.
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“Some Indian businesses have not fully deployed AI for important work because they need the information involved to be processed within the country,” said Nitin Bawankule, Head of Enterprise – India, OpenAI.
“Local inference gives them more control over where supported workloads run and helps address a practical barrier to adoption. It gives more businesses a way to put OpenAI’s tools to work, and gives Indian developers and startups more scope to build for their own, and enterprise needs,” he added.
OpenAI Expands AI Data Localisation In India
OpenAI already offers data residency options in India, but the latest announcement extends that capability to the actual processing and inference stage.
For supported workloads, customer content is also stored in India. OpenAI said the setup is designed for text-based enterprise applications such as summarising documents, drafting responses and helping employees analyse information.
The distinction between storage and inference is important for businesses with strict localisation requirements. Keeping data in India does not necessarily mean that the computation used to process an AI request also happens in India. With inference residency, OpenAI is now offering an option where both can take place within the country for supported workloads.
The initial rollout covers GPT-6 Luna input and output through OpenAI’s Responses API and Chat Completions API.
Customers looking to use the capability need to create a new API project, select India for both storage and processing, and then use the corresponding India regional endpoint.
OpenAI Targets Enterprise AI Adoption In India
OpenAI said the India launch is part of its broader push to expand AI adoption in the country.
Earlier this year, the company launched its OpenAI for India initiative, covering areas including AI infrastructure, enterprise adoption, skills and local partnerships. The initiative also included a partnership with Tata Group to develop domestic AI data centre capacity.
OpenAI has also recently made a similar residency capability available for certain models through AWS Bedrock.
The company is now adding India to its direct API inference residency offering, alongside other markets where local processing capabilities are available.
For Indian businesses, the development could remove one of the practical hurdles associated with deploying AI applications that handle sensitive or business-critical information.
However, the capability currently has a limited scope. OpenAI said local processing in India initially supports GPT-6 Luna workloads through the Responses and Chat Completions APIs, meaning organisations will need to use supported models and configurations to keep processing within the country.
The move nevertheless gives Indian developers and enterprises another option as they move AI applications from experimentation towards production, particularly in areas where data localisation and control over processing locations are important considerations.