Reliance Industries and Meta announced a partnership for a 168 MW AI-enabled data centre in Jamnagar, Gujarat. This facility will be Meta’s first AI-enabled data centre project in India, and Reliance will build the site for Meta to lease, with room to scale later.
Reliance and Meta deal is a built-to-suit infrastructure arrangement. The planned size is 168 MW, and the project is expected to be completed in about two years, with an option for future expansion.
Jamnagar in Gujarat is becoming a data and AI infrastructure location for Reliance. The company already has a large industrial base there, and the new Meta project fits into a broader push to position India as a destination for hyperscale AI capacity rather than only a user market.
Meta described India’s large user base and fast-growing digital economy as part of the reason for the investment.
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AI data centres need power, cooling, network connectivity and long-term operating reliability. India remains a huge consumer base for Facebook, Instagram and WhatsApp, and Meta said the country’s digital economy and AI demand make it a logical place to expand infrastructure. Reuters reported that this is Meta’s first built-to-suit data centre capacity in India.
Meta and Reliance formed a separate joint venture in 2025 to develop AI platforms and tools using Meta’s Llama models, with an initial investment of ₹8.55 billion. Meta had invested $5.7 billion in Jio Platforms in 2020, so the new data centre deal is part of a longer commercial relationship.
India is increasingly being treated as an AI infrastructure market, not just a consumer market. Reliance is trying to move from telecom and digital services into hyperscale compute infrastructure. Meta is trying to secure local capacity for future AI workloads in a market that matters to its long-term growth.
Economic Times reported that Meta is expanding its renewable energy partnership with CleanMax to supply more than 900 MW of renewable capacity alongside the Jamnagar project. That suggests the AI data centre story in India is already tied to power sourcing and sustainability, which is typical for large-scale AI facilities.
The 168 MW scale is large enough to place the project in the hyperscale category, and the lease model means Meta gets capacity without owning and operating the entire site itself.
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