Reliance Industries and Meta announced on June 10, 2026 a partnership to build a 168‑megawatt AI‑enabled data center in Jamnagar, Gujarat, with Meta leasing capacity from the facility. The campus, to be delivered within two years, will be powered by renewable energy and is billed as Meta’s first built‑to‑suit AI data center capacity in India.
This article aggregates reporting from 6 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
This deal is really about securing AI compute at scale. By locking in a 168 MW, renewables‑powered data center campus, Meta is adding a major spoke to its global AI infrastructure wheel and diversifying away from a handful of U.S. and European hubs. For Reliance, it formalises its shift from telco‑adjacent cloud to being a genuine hyperscale AI infrastructure provider, with Meta as an anchor tenant. It’s also a political signal: India wants to be a destination not just for AI users and talent but for the physical backbone of the AI era.
In the race to AGI, the constraint is increasingly power and data center capacity, not just model architecture. Announcements like this, layered on top of Microsoft, Amazon and OpenAI’s India build‑outs, point to a world where AI labs can arbitrage geography for cheaper, greener power and friendlier regulation while still serving global users. That may compress the effective compute cost curve for frontier training runs and large‑scale deployment, especially once Jamnagar and similar campuses are online.
Competitively, this sharpens Meta’s story as a company willing to spend heavily to back its open‑model Llama strategy with serious infrastructure, not just ride third‑party clouds. It also makes Reliance an unavoidable player for anyone planning sovereign or regional AI infrastructure in India, creating a local counterweight to the big U.S. hyperscalers.


