Reliance and Meta's AI Data Centre Initiative Accelerates Greenfield Digital Infrastructure Development in India

July 16, 2026

India's AI infrastructure investment cycle reached a major milestone in June 2026 when Meta Platforms and Reliance Industries announced plans to develop the country's first AI-enabled built-to-suit hyperscale data centre. Beyond a single facility, the project signals a new phase of greenfield digital infrastructure development that is expected to accelerate engineering consulting, EPCM services, and large-scale industrial project execution across India.

Mark Zuckerberg, CEO of Meta, described Jamnagar as a location that will help Meta scale its AI infrastructure globally while deepening investment in India. Mukesh Ambani, Chairman of Reliance, called it a transformative moment for India's digital infrastructure. The project is part of Reliance's broader ambition to develop one of the largest data centre campuses in the world at Jamnagar, a site that already houses Reliance's massive petrochemical, refinery, and renewable energy operations.

For India's greenfield digital infrastructure development ecosystem, the announcement is the clearest single signal yet that the country has graduated from a data centre market to an AI infrastructure platform.

What the Partnership Covers and Why the Structure Matters

The Reliance-Meta deal is structured as a built-to-suit lease, Meta secures the capacity under a long-term lease, while Reliance develops, owns, and operates the supporting infrastructure. This includes design, construction, utility management, renewable power generation, network connectivity, and fully managed operational services from day one.

Reliance acts as what the company itself described as a single provider for hyperscale AI infrastructure projects. For Meta, this model reduces the complexity and execution risk of managing a greenfield data centre project in a country where regulatory approvals, utility connections, and construction supply chains are different from Meta's home market.

The technical choices embedded in the Jamnagar facility reflect the engineering demands of AI workloads specifically. AI training and inference require significantly higher power density per rack than standard cloud computing. They generate more heat per unit of floor space. And they require power reliability with minimal tolerance for outages, because a training run interrupted by a power event can waste weeks of compute time.

Seawater cooling, drawing on Jamnagar's coastal location, addresses the thermal challenge at industrial scale without the freshwater consumption that inland data centre cooling imposes. The 1 GW of renewable energy contracted separately through CleanMax and Fourth Partner Energy addresses both Meta's corporate net-zero commitment and the practical reality that India's electricity grid carbon intensity makes direct procurement of renewable power the most commercially efficient compliance route.

Meta also announced the expansion of Project Waterworth, described as the world's longest subsea cable system, to connect India to the global network. Waterworth will create new cable routes connecting India, the United States, Brazil, South Africa, and other regions. Combined with the Jamnagar data centre, this gives Meta a full-stack AI infrastructure presence in India: compute, cooling, power, and connectivity.

The Broader Digital Infrastructure Investment Wave India is Riding

The Meta-Reliance deal is the most prominent single announcement in a much larger AI infrastructure in India investment cycle. According to Nomura, USD 400 billion has flowed into India's AI ecosystem over the last year, the majority directed toward data centres and energy infrastructure. India's installed data centre capacity grew from approximately 375 MW in 2020 to around 1,500 MW in 2025. It is projected to reach 7 GW to 8 GW by 2030, a fivefold increase.

Other major hyperscaler commitments in 2026 include Microsoft's USD 3 billion investment in cloud and AI infrastructure in India, Amazon Web Services committing USD 12.7 billion by 2030, and Google's USD 2 billion data centre investment announced earlier this year. The Indian government supported this wave by announcing a 20-year tax exemption for hyperscalers using data centres in India to service global clients, one of the most commercially significant fiscal incentives for greenfield digital infrastructure development that any major economy has offered.

Jamnagar is emerging as a specific geographic anchor for this investment. The site's combination of existing large-scale industrial infrastructure, renewable energy resource availability, coastal location enabling seawater cooling, proximity to subsea cable landing stations, and Reliance's established operational ecosystem makes it uniquely suited for AI data centre development at hyperscale. Reliance's plan to develop a 3 GW data centre campus at Jamnagar, of which the Meta facility is the first 168 MW, positions the site as one of the largest single-location digital infrastructure in India investments in the world.

What this Creates for Engineering, Consulting, and Project Execution

A 168 MW AI data centre is not a building. It is a highly specialised industrial infrastructure project with engineering requirements that span civil, structural, mechanical, electrical, fire protection, cooling, power distribution, and network systems, all of which must be integrated and commissioned to operate within precise performance parameters from day one.

For Reliance's own execution teams and for the broader ecosystem of engineering consultants, EPC contractors, equipment suppliers, and systems integrators working on data centre development in India, the Jamnagar project is a scale reference that will define capability expectations for the market.

The data centre development sector in India is large and growing rapidly. Over USD 60-70 billion in projects are in the pipeline over the next five years. This pipeline creates sustained demand for engineering consulting for data centres and EPCM project execution services, specifically the capability to design and deliver AI-optimised facilities with liquid cooling, high-density power infrastructure, precision cooling management, and the grid connection engineering that 168 MW and larger facilities require.

India's AI infrastructure ambition is real, well-funded, and accelerating. The projects that convert that ambition into operational compute will be built through engineering and project execution capabilities that the Jamnagar facility is helping to define.

Meta chose India for its first AI data centre. Reliance is building a 3 GW campus around it. USD 400 billion has entered India's AI ecosystem. Greenfield digital infrastructure development is no longer a future ambition, it is the largest industrial construction programme in India's technology history.

IMARC Engineering's Perspective

The Reliance-Meta Jamnagar data centre is a greenfield data centre project of a scale and technical complexity that defines the leading edge of India's digital infrastructure in India buildout. At IMARC Engineering, we see data centre projects as among the most engineering-intensive categories of industrial infrastructure projects, combining civil and structural engineering for purpose-built facilities, electrical and mechanical engineering for high-density power distribution and precision cooling, utility infrastructure design for power, water, and cooling systems, and regulatory compliance across environment, building, and grid connection approvals.

For AI data centres specifically, the engineering requirements are more demanding still: liquid cooling systems, power density per rack well above standard data centre specifications, redundant power pathways, and fire suppression systems matched to the specific chemistry of high-density compute environments.

As India's data centre development pipeline grows, from Meta-Reliance to the broader hyperscaler investment wave, the quality of engineering consulting for data centres and EPCM project execution will determine whether India's AI infrastructure ambitions are delivered on the timelines and to the technical specifications that global technology companies require. That is the space IMARC Engineering is equipped to serve.