Cortex DC, a TCG Group subsidiary, is launching a seven-year project to build 2 gigawatts of AI-focused data centers along India's Golden Quadrilateral. The firm plans to use existing land assets to speed up development. This move highlights the growing demand for high-power digital infrastructure, though success depends on managing complex construction requirements and intense industry competition.
Cortex DC, the infrastructure arm of The Chatterjee Group, has announced a major plan to build 2 gigawatts of data center capacity across India. This infrastructure is planned for sites along the Golden Quadrilateral, the highway network that connects India's major industrial and commercial cities. This expansion is designed to support the rapidly increasing need for data processing power as Indian companies and global firms adopt artificial intelligence and advanced cloud services.
Strategic Use of Land and Power
The company aims to complete this rollout over the next seven years. Unlike some new entrants that must spend time and money acquiring land, Cortex DC intends to use existing land parcels already controlled by The Chatterjee Group. This strategy is meant to shorten the development timeline. The company has set a target of 18 months for the first facility to be operational once construction begins.
A key focus for the project is energy. Because AI-ready data centers require significantly more electricity than traditional ones, managing power costs and availability is a primary concern. Cortex DC has committed to sourcing 51% of its energy from green sources. This is relevant as both the government and large corporate clients are increasingly requiring digital infrastructure to meet strict sustainability and carbon emission goals.
Market Context and Risks
India’s data center market is currently experiencing a rush of capital. Major competitors, including Adani ConneX, Reliance Jio, NTT, Yotta Data Services, and Nxtra by Airtel, are all aggressively adding capacity. For investors and industry observers, the primary challenge in this sector is not just building the physical structure, but ensuring the facility has a reliable, high-capacity power supply and fiber-optic connectivity.
Building AI-focused data centers is capital-intensive. These projects carry risks related to execution, such as potential delays in getting power grid connections or water supply for cooling, and cost increases for specialized equipment. Because these facilities must be built to handle high-density computing, any error in planning or construction can lead to significant financial pressure.
The sector’s profitability generally depends on high occupancy levels, meaning the company must secure long-term contracts with cloud service providers or large enterprises to justify the initial spending. Investors may monitor how quickly the company meets its 18-month target for the first facility, as this will provide a clear signal on their ability to execute such a large-scale project in a competitive market.