India’s race to build the digital infrastructure underpinning the AI economy is gathering pace, and RMZ is making one of the industry’s boldest bets yet.
The Bengaluru-headquartered real estate and infrastructure major plans to scale its data centre capacity from 250 MW today to between 2 GW and 3 GW over the next five years as part of a broader $35 billion investment strategy focused on digital infrastructure, AI factories, power ecosystems, and next-generation commercial developments.
The move reflects a growing shift among infrastructure developers who increasingly see data centres not as standalone assets, but as the foundation of the AI-driven economy. With enterprises accelerating cloud adoption, deploying generative AI applications, and expanding digital operations, demand for compute capacity is rising at an unprecedented rate. According to company executives, RMZ is in advanced discussions on three new data centre projects that could push its capacity beyond 1 GW in the near term. The company is also pursuing additional land acquisitions capable of supporting another 2 GW of future capacity, signaling its intent to become a significant player in India’s rapidly evolving digital infrastructure landscape.
The announcement comes at a time when global technology companies, hyperscalers, and infrastructure investors are pouring billions into AI and cloud infrastructure. India has emerged as one of the world’s most attractive growth markets, driven by its expanding digital economy, enterprise modernization initiatives, and growing appetite for AI-powered services.
For RMZ, the expansion represents more than a capacity play. The company is positioning itself across multiple layers of the AI infrastructure stack, including co-location facilities, AI factories, power infrastructure, and software services. This reflects a broader industry trend where data centre operators are seeking greater control over the underlying infrastructure required to support increasingly compute-intensive AI workloads.
The company’s ambitions also align with a growing recognition that India faces a significant infrastructure gap. While the country generates a substantial share of global digital data, its share of worldwide data centre capacity remains relatively small, creating opportunities for large-scale investments in compute and storage infrastructure.
Industry observers note that AI adoption is fundamentally changing the economics of data centres. Unlike traditional cloud workloads, AI training and inference require significantly higher levels of computing power, energy consumption, and cooling infrastructure. As organizations expand AI deployments, demand for high-density facilities capable of supporting advanced GPU clusters is expected to surge. With technology giants, cloud providers, and infrastructure investors all racing to secure capacity, RMZ’s latest investment push underscores a larger reality: India’s AI future will be shaped not only by software innovation, but by the physical infrastructure capable of powering it.
As the country’s digital economy enters its next phase of growth, data centres are rapidly becoming strategic national assets and the competition to build them is only just beginning.
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