Synopsis: India is entering a massive new phase of digital infrastructure growth as companies quietly plan gigawatt-scale data centre campuses to meet surging AI, cloud and data demand. This build-out could reshape the country’s tech backbone and trigger a long investment cycle across power, infrastructure and technology ecosystems.
India’s digital infrastructure is entering a new phase as some of the country’s biggest companies quietly plan massive data centre projects to capture the surge in artificial intelligence, cloud and data demand. With gigawatt-scale campuses being planned across multiple locations, the scale is huge and could reshape India’s tech backbone, but which companies are leading this big build-out?
What Are Hyperscaler Data Centres?
Hyperscale leasing sits at the very top end of the data centre market. It involves large, long-term agreements between data centre developers and some of the world’s biggest technology companies such as Microsoft, Google, Amazon, Meta, Oracle, and increasingly government-backed cloud providers. These deals typically cover multiple megawatts of capacity and are designed to support massive computing needs.
There are usually two ways these agreements are structured. In some cases, hyperscalers lease ready-built facilities or sections of a data centre campus. In others, developers build custom facilities specifically for the customer, based on their exact technical requirements, with the developer funding and constructing the project.
Pricing details are generally kept private and may include incentives tied to performance factors like uptime or energy efficiency. These leases are typically very long term, often lasting between 10 and 20 years or even longer.
Hyperscale customers also require consistency across all locations. This means similar power setups, cooling systems, and sustainability standards wherever they operate, so their infrastructure can run smoothly on a global scale. Once deployed, their systems become a core part of their cloud networks, so they rarely move or switch providers.
For developers, securing a hyperscale customer can anchor an entire campus. It reduces financing risk and often attracts other smaller customers who are willing to pay higher rates to be located close to major cloud infrastructure.
Although hyperscale contracts usually come with lower margins, they offer stable and predictable long-term revenue and grow alongside the customer’s expanding needs. The scale involved is huge. A single campus for companies like Microsoft or Meta can exceed 100 megawatts, enough power for a small city. These campuses also create an ecosystem of network providers, cloud exchanges, and smaller tenants, which helps generate additional high-value revenue.
The next section looks at the key listed players in India that are working to build data centre platforms at the gigawatt scale. As demand from hyperscalers, AI workloads, and cloud adoption continues to rise, several domestic developers are expanding aggressively with large multi-campus plans aimed at creating long-term, high-capacity infrastructure.
Which Indian Players Are Building Giga-watt Scale Hyperscaler Data Centres?
Adani Enterprises
Adani Enterprises has entered the data centre space through AdaniConneX, a 50:50 joint venture with global operator EdgeConneX. The partnership brings together the Adani Group’s strengths in land, power and infrastructure with EdgeConneX’s experience in developing and operating large data centres globally. The goal is to build a nationwide platform of utility-scale facilities that can support India’s growing demand for cloud computing and AI infrastructure.
One of the biggest developments for AdaniConneX is its partnership with Google to build an AI-focused data centre campus in Visakhapatnam, Andhra Pradesh. The project is expected to attract around USD 15 billion in investment between 2026 and 2030 and is planned to operate at gigawatt scale. It will be supported by subsea cable connectivity and renewable energy, enabling it to handle large AI and cloud workloads. The project also includes investments in power transmission, renewable energy generation and energy storage to strengthen the state’s electricity grid while supporting data centre operations.
In addition to Visakhapatnam, AdaniConneX is developing facilities across several major cities including Noida, Mumbai, Pune, Hyderabad and Chennai, with a strong focus on reliability and clean energy. Planned capacities include about 33 MW in Chennai, 50 MW in Noida, 48 MW in Hyderabad, 96 MW in Pune and 30 MW in Navi Mumbai. The company positions itself as a full digital infrastructure provider, offering build-to-suit facilities, colocation services, connectivity solutions and managed infrastructure so customers can scale from basic storage to advanced AI-ready systems.
The Adani Group has recently outlined a broader plan to invest roughly USD 100 billion by 2035 to build large data centres powered by renewable energy, aimed at supporting artificial intelligence growth. The company believes this investment could drive an additional USD 150 billion of spending across related sectors such as server manufacturing, electrical equipment and cloud infrastructure, potentially creating a wider AI ecosystem worth around USD 250 billion over the next decade and helping position India as a major global hub for digital infrastructure.
Reliance Industries
Reliance Industries has entered the data centre space through Digital Connexion, a joint venture with Canada’s Brookfield and US-based Digital Realty. The partnership has committed about USD 11 billion over five years to develop a 1 gigawatt AI-ready data centre in Visakhapatnam, Andhra Pradesh, which is Reliance’s first confirmed project in this sector.
The move follows Mukesh Ambani’s broader push to invest heavily in artificial intelligence infrastructure, and analysts believe the facility could also be offered to other companies under a data-centre-as-a-service model.
In January 2025, Reliance also announced plans to build another AI-focused data centre in Jamnagar, Gujarat. While detailed information is still limited, reports indicate the site could start with around 1 gigawatt of capacity and later expand to as much as 3 gigawatts. If fully developed, this could take Reliance’s combined data centre capacity across both locations to roughly 4 gigawatts, highlighting its ambition to become a major player in India’s AI and cloud infrastructure ecosystem.
The Visakhapatnam facility is expected to be powered by advanced GPUs, TPUs and other specialised AI chips, positioning it as one of the most powerful AI infrastructure hubs in Asia. Reliance has also committed to building a 6 gigawatt solar project to supply clean energy for its AI operations. The group has already invested more than Rs. 2,21,775 crore in Andhra Pradesh across its energy, telecom and retail businesses. In addition, Reliance has secured Nvidia’s latest Blackwell AI processors to build AI supercomputers and language models tailored for India’s multiple languages, strengthening its long-term technology strategy.
Lodha Developers
Lodha Developers has quickly emerged as a major player in India’s data centre space. In 2025, the company signed a memorandum of understanding worth Rs. 30,000 crore with the Maharashtra government, followed by an additional commitment of Rs. 1 lakh crore at the World Economic Forum in Davos in January 2026.
This takes its total planned investment to about Rs. 1.3 lakh crore for a large 2.5 gigawatt data centre park spread across roughly 400 acres, expected to create more than 16,000 direct and indirect jobs. Amazon has already secured land and power for 15 years, while Singapore’s STT Global Data Centres has also acquired land within the park, with Lodha acting as the master developer.
The Palava data centre park has been built with strong infrastructure, including access to nearly 3 gigawatts of power through five high-voltage lines, green energy supply and more than 100 million litres per day of recycled water for cooling. The site also offers strong fibre connectivity with current latency to Europe of about 140 to 150 milliseconds, which could improve to around 120 milliseconds in future. Construction costs are significantly lower than in the US and Europe at roughly USD 6 to 7 million per megawatt, while power tariffs are around USD 0.07 to 0.08 per unit.
The park operates at an efficient power usage effectiveness of about 1.2 to 1.3, and new data centres can become operational within about 24 months since approvals and utilities are already in place. Land transactions have been strong, with recent deals around Rs. 0.21 billion per acre and prices now moving toward roughly USD 0.3 billion per acre under new policies. The remaining land is estimated to be worth about Rs. 100 billion.
Each acre can support around 8 to 10 megawatts of IT capacity, with potential annual profit of about Rs. 0.1 billion per megawatt, showing that the project has earnings potential beyond land sales. Lodha plans to continue selective land monetisation to attract more data centre and AI companies to Palava and strengthen India’s digital infrastructure ecosystem.
Tata Consultancy Services
Tata Consultancy Services announced in October 2025 that it plans to enter the data centre space with a target of building up to 1 gigawatt of capacity over the next five to seven years, which could require more than USD 6.5 billion in investment. The company plans to fund this through a mix of equity, debt and investments from financial partners.
TCS expects strong demand from artificial intelligence companies, hyperscalers, deeptech firms, government entities and Indian enterprises, and believes the business can generate stable, long-term annuity-style revenues. The company will focus on building the core infrastructure, while customers will provide the computing and storage equipment.
TCS established HyperVault in 2025 as a dedicated subsidiary focused on building gigawatt-scale, secure and reliable AI-ready infrastructure for hyperscalers, AI companies and global enterprises. This platform forms the foundation of TCS’ strategy to support enterprise AI adoption and modernise digital infrastructure as demand for large-scale computing continues to grow.
To support this expansion, TCS has partnered with global investment firm TPG to scale HyperVault, with total planned investments of up to Rs. 18,000 crore over the next few years. TPG is expected to invest up to Rs. 8,820 crore for a minority stake, with additional funding coming through debt. The partnership aims to build large AI-ready facilities with advanced features such as liquid cooling, high-density racks and energy-efficient systems to serve hyperscalers, enterprises and public sector clients.
TCS is also collaborating with AMD to co-develop a rack-scale AI infrastructure design based on the AMD Helios platform to support India’s national AI initiatives. The companies plan to offer an AI-ready data centre blueprint supporting up to 200 megawatts of capacity and work with hyperscalers and AI firms to accelerate new data centre developments in India.
Larsen & Toubro
Larsen & Toubro has announced a proposed venture under the India AI Mission to build sovereign, scalable gigawatt-scale AI data centre infrastructure, positioning itself to support India’s ambition of becoming a global AI hub. The initiative combines L&T’s strengths in engineering, infrastructure development and project execution with NVIDIA’s advanced AI technologies, including GPUs, CPUs, networking, accelerated storage platforms, software and reference architectures. The goal is to enable large enterprises, policymakers, global customers and industry players to access production-grade AI capacity anchored in India’s digital and industrial transformation.
The venture aims to deploy AI-ready data centre infrastructure, advanced computing platforms and a broader ecosystem needed to support large-scale AI workloads across key sectors. In line with the IndiaAI Mission, the platform will help create sovereign AI infrastructure where critical data, models and workloads can be developed and deployed within India while still remaining connected to global ecosystems. This infrastructure is designed to serve domestic demand as well as global hyperscalers, cloud providers and enterprises looking to scale AI capacity from India.
As part of the plan, L&T intends to develop gigawatt-scale AI data centre factories to support high-density, next-generation workloads and enable efficient expansion. The company plans to scale NVIDIA GPU cluster deployment at its Chennai data centre to about 30 megawatts within its 300-acre gigawatt-scalable campus, while also working on a new 40 megawatt data centre in Mumbai that is currently under execution.
Currently, L&T has around 32 megawatts of data centre capacity, of which 14 megawatts is operational, and another 18 megawatts is expected to be commissioned by the end of the current fiscal year, with total capital expenditure of roughly Rs. 1,000 crore.
India’s data centre story is rapidly shifting toward gigawatt-scale infrastructure as demand from artificial intelligence, cloud computing and hyperscalers accelerates. Companies like Adani Enterprises, Reliance Industries, Lodha Developers, Tata Consultancy Services and Larsen & Toubro are all building large campuses, signalling a long investment cycle that could form the backbone of India’s digital economy and support the country’s ambition to become a global AI and cloud hub.
Alongside listed players, unlisted Yotta Data Services has also announced plans to build one of Asia’s largest AI computing hubs using Nvidia’s latest Blackwell Ultra chips, with an investment of more than USD 2 billion, or over Rs. 16,000 crore. Nvidia will also anchor Asia’s first DGX Cloud supercluster within Yotta’s infrastructure, consuming nearly half of the new GPU capacity under a four-year contract valued at about USD 1 billion, highlighting the scale and speed at which AI infrastructure spending is rising in India.
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