Meta & Reliance Plan Massive AI Data Centre

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Johnson Mathew

Last Updated on: 20 August 2026

AI Infrastructure · India · June 2026

Meta and Reliance are building a 168 MW AI data centre in Jamnagar, Gujarat — Meta's first built-to-suit capacity in India, powered by roughly 1 GW of contracted renewables and cooled with desalinated seawater. Here is what the deal actually commits to, and what it changes for technology teams in the UK and India.

India has been described as the world's next great AI infrastructure market for years. In June 2026 that stopped being a forecast. Meta Platforms signed its first major data centre agreement in the country with Reliance Industries, and the numbers are not symbolic: 168 megawatts of AI-ready capacity, live within two years, with contractual room to grow.

168 MWInitial AI capacity leased by Meta, with expansion options
~1 GWNew renewable capacity contracted to power the site
~10%Share of India's entire live data centre capacity (end 2025)
8 GWIndia's projected data centre capacity by 2030

Key takeaways

  • Who does what: Reliance designs, builds, powers and operates the campus end to end. Meta leases the whole 168 MW and pays for the energy and water it consumes.
  • Why it is unusual: this is built-to-suit hyperscale capacity, not colocation racks in a shared hall — the facility is specified around AI training and inference workloads from day one.
  • The sustainability angle: roughly 1 GW of renewable power purchase agreements plus seawater desalination cooling, which takes freshwater out of the cooling equation entirely.
  • Why UK teams should care: in-country AI compute changes latency, data residency and cost assumptions for any product serving Indian users — and the design choices here preview where UK data centre regulation is heading.
  • The relationship behind it: six years and billions of dollars, from Meta's 2020 stake in Jio Platforms to the 2025 enterprise AI joint venture.

1. The deal at a glance

Under the agreement, Reliance Industries takes on the entire build and run: site design, construction, utility management, renewable power supply, network connectivity and managed operational services. Meta leases the full 168 MW and pays for the energy and water its workloads consume. The split matters — Meta gets hyperscale capacity without owning Indian physical infrastructure, and Reliance keeps the operating asset.

The facility is expected to be operational within two years, with contractual options to scale beyond the initial 168 MW. It becomes Meta's first built-to-suit data centre capacity in India, specified from the outset for the compute density that AI training and inference demand rather than retrofitted from a general cloud footprint.

DetailSpecifics
LocationJamnagar, Gujarat, India
Initial capacity168 megawatts (MW), with contractual expansion options
Builder and operatorReliance Industries — design, construction, power, connectivity, operations
TenantMeta Platforms, leasing the full capacity
Expected deliveryWithin two years of announcement
Energy source~1 GW of renewable energy via CleanMax and Fourth Partner Energy
Cooling methodSeawater desalination
AI focusLlama model localisation for India, starting with finance and healthcare
Scale perspective: India's total live data centre capacity crossed roughly 1,700 MW by the end of 2025. A single 168 MW campus is therefore close to 10% of everything the country had running — which is why this reads as a landmark project rather than another regional expansion.

2. Why Jamnagar — the strategic logic

Jamnagar is not an arbitrary pin on a map. The Gujarat city has become one of India's most significant locations for heavy industrial and infrastructure projects, and Reliance has decades of presence there — the Jamnagar refinery complex is among the largest in the world. Five factors make it work for AI infrastructure specifically:

  • Land at campus scale. A 168 MW facility needs a large contiguous footprint, which Jamnagar can offer without the land and planning constraints of Mumbai, Bengaluru or Chennai.
  • Energy access. The region has strong grid infrastructure and is well positioned for the large renewable power purchase agreements that AI operators now need to sign years ahead of capacity going live.
  • Coastal location. Proximity to the Arabian Sea makes seawater desalination cooling viable — the single design decision that makes a facility this size defensible in India's climate.
  • An existing Reliance campus. Meta is plugging into a proven environment with power, connectivity and operations already established, rather than starting greenfield.
  • State policy support. Gujarat has been deliberate about attracting global technology investment, with dedicated infrastructure zones and a favourable data centre policy framework.
The bigger picture: Google, Microsoft and Amazon have all announced major Indian investment programmes, and several global operators are competing for the same land, power and talent. Jamnagar positions Reliance — and by extension India — as a credible host for global-scale AI compute demand rather than a regional add-on.

3. Renewable power and seawater cooling

The environmental profile is the most technically interesting part of the announcement. AI workloads are power-hungry and, historically, water-hungry. Jamnagar is being designed to attack both constraints at the same time.

Roughly 1 GW of contracted renewable capacity

Alongside the data centre, Meta confirmed renewable energy partnerships with two Indian firms, CleanMax and Fourth Partner Energy. Together those agreements add approximately 1 GW of new renewable capacity dedicated to supporting the facility. At that ratio of contracted clean generation to leased load, Jamnagar would sit among the most renewably powered AI infrastructure projects in Asia.

Seawater desalination instead of freshwater cooling

Conventional data centres consume large volumes of potable water for evaporative cooling — a serious problem in water-stressed regions. Jamnagar will meet its cooling requirement from desalinated seawater, removing freshwater abstraction from the equation. It is operationally more complex and more energy-intensive than a standard cooling loop, but the coastal location makes it practical, and it sets a water usage benchmark other Indian projects will now be measured against.

Context for UK operators: the UK data centre sector is facing tightening scrutiny from planners and regulators over grid capacity, embedded carbon and water abstraction. Both levers being pulled at Jamnagar — long-dated renewable PPAs signed ahead of build, and an alternative water source for cooling — are exactly the levers UK operators will be asked about over the next decade. Expect power usage effectiveness (PUE) and water usage effectiveness (WUE) to move from procurement footnotes to planning conditions.

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4. Meta and Reliance: six years of build-up

Jamnagar is not a standing start. It is the latest step in a relationship that now spans six years and several billion dollars of committed capital.

  • 2020Meta invests $5.7 billion in Jio Platforms

    Meta acquired a 9.99% stake in Reliance's digital and telecoms arm — its largest single investment in a company at the time, and a decisive entry into the Indian digital market.

  • 2025$100 million enterprise AI joint venture

    The two companies established a joint venture building AI solutions for enterprises across India and selected international markets — the commercial groundwork for the infrastructure commitment that followed.

  • 2026168 MW Jamnagar AI data centre

    Meta's first built-to-suit data centre capacity in India, operated end to end by Reliance. Formal entry into Indian AI infrastructure at scale.

For Reliance, the deal converts it into an anchor AI infrastructure provider with global tenants — a position worth considerably more over time than the lease revenue from one campus. For Meta, India stops being a market served from overseas capacity and becomes an AI infrastructure base in its own right, with the data residency and latency advantages that follow.

5. What the leaders are saying

“A step to scale our AI infrastructure globally while deepening our long-term investment in India's economy.”
Mark Zuckerberg, CEO, Meta Platforms
“India's readiness to be at the forefront of the global AI revolution.”
Mukesh Ambani, Chairman, Reliance Industries

The framing from both sides is deliberate. Neither describes a vendor-client transaction; both describe a long-term strategic commitment to India's position in global AI. That signalling is part of the point — it tells every other hyperscaler that India is now competing for the largest AI infrastructure investments, not just the regional ones.

6. India's AI infrastructure outlook to 2030

The Meta–Reliance deal lands against extraordinary momentum in Indian data centre investment. The headline numbers set the context:

IndicatorFigure
India live data centre capacity (end 2025)~1,700 MW
Projected capacity by 20308,000 MW (8 GW)
Jamnagar facility as share of current capacity~10%
Meta's Jio Platforms stake (2020)$5.7 billion for 9.99%
Meta–Reliance enterprise AI joint venture (2025)$100 million
Meta global capital expenditure (2025)$72.2 billion

Going from roughly 1,700 MW to 8,000 MW by 2030 is close to a fivefold increase. AI is the driver: AI workloads need far more power per rack, far more cooling and far more specialised networking than the cloud and e-commerce workloads that powered the previous decade of Indian data centre growth. Government policy has been an active enabler through dedicated data centre frameworks, tax incentives and a deliberately welcoming stance towards global cloud and AI operators. Jamnagar is, in part, a return on that policy.

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7. What this means for technology businesses

For AI and software engineering teams

The facility is specifically intended to support Llama model localisation for the Indian market, starting with finance and healthcare. In practice that means Indian-market applications built on Llama get dedicated, low-latency in-country compute. If you are shipping on Meta's open model stack for Indian users, this changes your latency budget, your data residency story and eventually your unit economics.

For UK businesses watching India

A build-out this size creates demand well beyond the concrete: integration work, platform engineering, AI application development and the long tail of services that surrounds a major campus. UK technology firms that establish Indian relationships while the infrastructure is being laid will be better placed when the capacity actually comes online. If you are considering an offshore engineering base, the compute story is now part of the decision, not just the cost story — and AI engineering talent tends to cluster where the compute lands.

For the global AI infrastructure race

Jamnagar is one of several announcements putting India alongside the US, Europe and Southeast Asia as a core geography for AI compute. Google, Microsoft and Amazon have all committed large-scale Indian investment. The pace has no real precedent in digital infrastructure, and it feeds directly back into cloud pricing, model availability and the economics of building software anywhere in the world.

Our read: with teams in Jaipur and London, we sit inside both markets this deal connects. The practical consequence for most clients is not "move to India" — it is that in-country Indian AI compute makes a UK product with Indian users, or a UK company with an Indian engineering base, meaningfully cheaper and faster to run than it was in 2025.

8. Frequently asked questions

What is the Meta and Reliance AI data centre deal?

Meta Platforms and Reliance Industries have agreed to build a 168 MW AI-enabled data centre in Jamnagar, Gujarat. Reliance designs, builds and operates the facility end to end; Meta leases the full 168 MW and pays for the energy and water it uses. It is Meta's first built-to-suit data centre capacity in India.

Why is the data centre being built in Jamnagar, Gujarat?

Jamnagar combines large-footprint land, coastal access for seawater cooling, strong energy infrastructure and an existing Reliance data centre campus. Gujarat's state government has also been proactive in attracting global technology investment through dedicated infrastructure zones and favourable data centre policy.

What is the capacity of the Jamnagar AI data centre?

It launches with 168 megawatts of initial capacity and contractual options to expand beyond that. Power comes from approximately 1 GW of renewable capacity contracted through CleanMax and Fourth Partner Energy.

How will the Jamnagar data centre be cooled?

Through seawater desalination rather than freshwater abstraction. The Arabian Sea location makes that viable and removes potable water consumption from the cooling loop — a material advantage in a water-stressed region.

What is the history between Meta and Reliance?

Meta invested $5.7 billion in Jio Platforms for a 9.99% stake in 2020. In 2025 the two formed a $100 million joint venture focused on enterprise AI. Jamnagar is the largest commitment in that multi-year relationship.

What does the deal mean for India's AI infrastructure future?

India had roughly 1,700 MW of live capacity at the end of 2025 and is projected to reach 8 GW by 2030. A single 168 MW campus is close to 10% of today's total, so the deal both accelerates that trajectory and signals to other hyperscalers that India can host world-class AI compute.

How does this affect UK businesses and technology teams?

UK businesses serving Indian users gain lower-latency in-country AI compute and better data residency options. UK companies with Indian engineering teams get access to stronger infrastructure. And the wider race for AI capacity is reshaping cloud pricing, model availability and software development economics worldwide.

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Johnson Mathew

IconVerified Expert in Software & Web App Engineering

I am Johnson Mathew, an experienced Content Writer at Fulminous Software, focused on delivering creative and beneficial knowledge that helps businesses and global audiences to succeed in digital transformation. As a researcher and storyteller, I aim to provide content that drives growth, sparks new ideas, and fosters competitiveness. With a deep understanding of the growing digital and technological realm, I learn continuously and craft content that not only informs but also inspires action. Over the years, I have worked extensively on creating blogs, articles, and web content on topics like software development, App development, Web development, IoT, AI, and emerging digital trends. My mission is to bridge the gap between businesses and technology by delivering content that highlights innovation, educates readers, and empowers business owners to grow.

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