OpenAI Explores Stargate AI Project Expansion to India

Sep 10, 2025
OpenAI is in preliminary discussions with Indian data center firms and Reliance Industries to bring its $500 billion Stargate AI infrastructure project to India.

OpenAI is in preliminary discussions with Indian data center companies and Reliance Industries Ltd to explore the possibility of bringing its $500 billion Stargate AI infrastructure project to India. The talks involve firms such as Sify Technologies and Yotta Data Services, focusing on critical factors like capacity, energy availability, and location.

The Stargate project, announced in January 2024, aims to build next-generation AI infrastructure with hyperscale data centers equipped with advanced chips and energy systems. This initiative is backed by major technology partners, including SoftBank, Oracle, and Microsoft, and is designed to ensure long-term computing power for OpenAI and its partners.

India, being OpenAI's second-largest market by user base, is a strategic location for this expansion. The company has registered a legal entity in India and plans to open an office in New Delhi later this year. However, challenges such as securing advanced chips and ensuring an uninterrupted power supply remain as India currently accounts for less than 1% of global AI computing capacity.

Reliance Industries, which is building what it claims will be the world's largest data center in Jamnagar, Gujarat, has been in discussions with OpenAI for over six months. The Indian government has also expressed interest in the project, urging OpenAI to invest significantly in India and store local data within the country.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.