Winning Bizness Desk
Mumbai. Meta has joined hands with Reliance Industries to build its first AI-enabled data centre in India, marking one of the country’s biggest digital infrastructure investments. The facility, planned in Gujarat’s Jamnagar, will have a capacity of 168 megawatts and is expected to be delivered within the next two years. The project signals growing confidence in India’s ability to emerge as a major global hub for artificial intelligence infrastructure and advanced computing.
Building a world-class AI computing hub
Under the agreement, Reliance will take complete responsibility for developing the Jamnagar facility. The company will provide end-to-end services, including design, construction, utility management, renewable energy integration, network connectivity and managed services. Once operational, the project is expected to become one of the most significant AI-focused digital assets in the country, supporting Meta’s expanding global computing requirements.
Reliance Industries Chairman and Managing Director Mukesh Ambani described the partnership as a transformative moment for India’s digital infrastructure. He said Meta’s decision to establish its first built-to-suit data centre in the country reflects India’s readiness to lead the global AI revolution. According to Ambani, Jamnagar is set to emerge as a landmark destination for hyperscale AI computing.
Meta deepens long-term India commitment
Meta Founder and Chief Executive Officer Mark Zuckerberg said the company is proud to work with Reliance on its first AI-enabled data centre in India. He noted that the world-class facility will strengthen Meta’s global AI infrastructure while deepening its long-term investment in the Indian economy.
Key highlights of the project include:
- India’s first Meta AI-enabled data centre
- 168 MW planned capacity at Jamnagar
- Expected completion within two years
- Reliance to provide complete project execution
- Focus on hyperscale AI computing capabilities
Meta has been significantly increasing investments to meet rapidly growing AI demand. Through its top-level initiative called “Meta Compute”, the company aims to create “decades of gigawatts” of capacity during this decade and eventually scale to hundreds of gigawatts or more. In January 2026, Meta appointed former Trump administration adviser Dina Powell McCormick as President and Vice Chairman to help strengthen AI infrastructure development and financing efforts with governments worldwide.
Massive AI and network investments underway
Meta has also increased its projected capital expenditure for the current year. The company raised its annual spending forecast from $115-135 billion to $125-145 billion, underlining the scale of its AI ambitions. Alongside computing infrastructure, Meta highlighted major network investments, including Project Waterworth, the world’s longest subsea cable system, which is expected to enhance connectivity and improve service speed and quality for users globally and in India.
The company simultaneously announced renewable energy partnerships worth nearly 1 gigawatt to support sustainable operations.
Renewable energy push and industry race
The clean energy partnerships include:
- CleanMax will develop 837 MW of new solar and wind projects across Rajasthan and Karnataka. With this addition, Meta’s announced capacity with CleanMax exceeds 900 MW.
- Fourth Partner Energy will supply power through 88 MW of new solar and wind projects in Tamil Nadu, Karnataka, Maharashtra and Uttar Pradesh.
India’s digital infrastructure race is also attracting other global technology giants. Google announced a $15-billion AI hub in Visakhapatnam in October 2025, with construction beginning in April 2026. OpenAI partnered with Tata Group in February 2026 to become the first customer of TCS’ HyperVault data centre business. Microsoft committed $17.5 billion towards cloud and AI infrastructure expansion through 2029, while Amazon unveiled plans for an additional $35-billion investment in India by 2030, including $12.7 billion dedicated to cloud and AI initiatives.
What makes AI-enabled data centres different
Unlike conventional data centres that mainly store and process information, AI-enabled facilities are specifically designed for advanced artificial intelligence workloads. They use specialised liquid-cooling systems and high-performance Graphics Processing Units (GPUs) capable of handling machine learning, deep learning and chatbot applications at far greater speeds. With the Reliance-Meta project taking shape in Jamnagar, India is positioning itself at the centre of the next wave of global AI infrastructure development.
