OpenAI has announced the availability of local processing and inference for the OpenAI API in India, enabling eligible enterprises and developers to execute supported artificial intelligence workloads within domestic borders. Initially rolling out for the GPT-6 Luna model, the update expands OpenAI’s existing data residency capabilities in the region to address stringent compliance, regulatory, and technical requirements.
Expanding Data Residency to Inference
For many Indian enterprises—particularly regulated entities across banking, financial services, and insurance (BFSI)—the physical location of data computation often determines whether an AI project can progress from testing to enterprise-wide production.
While earlier compliance frameworks primarily addressed data residency at rest, this launch extends local coverage through the entire inference lifecycle. For supported workloads, both the intake of API requests and the underlying computation generating responses occur on domestic infrastructure. Supported customer content remains stored within India, enabling organizations to apply AI to internal workflows such as document analysis, automated drafting, and data synthesis without sending payloads to external international data centers.
Infrastructure Strategy and Regional Context
The rollout follows OpenAI’s broader commercial strategy in India, introduced earlier this year under the “OpenAI for India” program—a framework targeted at enterprise adoption, local workforce development, and infrastructure expansion. Central to that initiative is an ongoing collaboration with the Tata Group to develop domestic data center capacity to support high-throughput compute needs.
The update also complements residency features recently integrated through major cloud channels, including select model deployments across Amazon Web Services (AWS) Bedrock. By adding direct API access, OpenAI broadens the deployment choices available to software architects and IT leaders managing strict data governance policies.
Implementation and Availability
At launch, local processing applies to direct API calls utilizing the GPT-6 Luna model. Supported endpoints include both the Responses API and Chat Completions API. Organizations can implement the feature by establishing a new API project configured with India selected as the designated region for both data storage and runtime processing, routing traffic through the regional India endpoint.
India joins a growing list of markets receiving local compute capabilities under OpenAI’s regional residency roadmap, which recently added similar localized infrastructure footprints across Japan and Australia.
Commenting on this, Nitin Bawankule, Head of Enterprise – India, OpenAI, said:
Some Indian businesses have not fully deployed AI for important work because they need the information involved to be processed within the country. 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.