Meta Leases 168-MW AI Data Center from Reliance in Jamnagar

Cover image from techcrunch.com, which was analyzed for this article
Meta agreed to a major AI data center partnership in India with Reliance to expand infrastructure. The move reflects hyperscalers' global push amid rising AI demand.
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Wednesday, June 10, 2026 — Tech
Meta's lease expands its global AI footprint while tying India more closely into hyperscale infrastructure networks. The transaction reflects wider competition for power and land suited to AI workloads, with policy incentives accelerating the shift. Execution details and long-term capacity utilization remain to be seen in follow-up reporting.
What outlets missed
Neither report provided independent verification of the $400 billion AI ecosystem investment figure cited by CNBC from an unnamed source. TechCrunch's higher 8-gigawatt capacity projection by 2030 was not corroborated by CNBC or Nomura. Details on whether the Jamnagar facility will support only Meta's global AI needs or also serve third-party customers remain unaddressed in both accounts. The exact mechanism for Meta's renewable energy matching across its Indian operations was not broken down beyond the headline commitments.
Meta Expands AI Capacity With Reliance Partnership in India
Meta Platforms has agreed to lease a 168-megawatt artificial intelligence data center in Jamnagar, India, from Reliance Industries, marking the company's first dedicated AI infrastructure commitment in the country. The facility, to be built by Reliance and delivered within two years, gives Meta an option to expand capacity as demand grows. Reliance will own and operate the site while Meta secures the computing resources needed to train and run its models.
The arrangement builds on an existing commercial relationship. Meta invested 5.7 billion dollars in Reliance's Jio Platforms in 2020. Last year the companies formed a joint venture to distribute Meta's open-source AI tools to Indian businesses. Reliance chairman Mukesh Ambani called the new data center a transformative step for India's digital backbone. Meta chief executive Mark Zuckerberg said the Jamnagar site will help the company scale its AI systems globally while extending its commercial presence in India.
India's data center market has drawn multiple large private investments in recent months. Microsoft, Amazon, Google, and others have announced plans for additional capacity. Blackstone-backed AirTrunk recently committed 30 billion dollars to develop five gigawatts of facilities by 2030. Indian groups such as Adani and Tata Consultancy Services have also outlined expansion projects. Industry forecasts from Nomura project India's total data center capacity reaching seven gigawatts by 2030, driven by falling equipment costs and rising enterprise demand for AI workloads.
These projects reflect straightforward responses to price signals. Companies racing to deploy AI need reliable power and land at competitive rates. India offers both, along with a growing pool of engineering talent. Reliance's decision to construct the Jamnagar site for Meta shows how established local operators can meet specialized requirements faster than many government-led initiatives elsewhere. The partnership leaves capital allocation decisions in the hands of the firms that will bear the results.
Meta's move follows a pattern seen in other capital-intensive sectors. Private actors identify shortages, negotiate contracts, and adjust scale according to actual usage rather than political targets. Reliance's diversified operations in energy, telecom, and manufacturing give it advantages in securing power and construction resources that pure-play data center developers might lack. The result is incremental capacity added where returns justify the outlay.
Projections for continued growth rest on the same incentives. As long as AI applications generate measurable value for users and advertisers, technology firms will continue seeking the lowest-cost, highest-availability locations. India's role in this expansion stems less from targeted subsidies than from the basic advantages of market size, relative policy stability, and private-sector execution. Further investments will likely follow the same logic, determined by returns rather than declarations.
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