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HyperVault plans an AI campus of up to one gigawatt in Hyderabad

TCS’s data centre arm HyperVault and its partners plan to invest up to 700 billion rupees in a Hyderabad campus with capacity of up to one gigawatt. The approximately 107-hectare site is secured, with development planned in phases according to customer demand. TCS envisages liquid cooling, green energy and water neutrality for AI training and inference.

Artificial Intelligence··Morning
Conceptual data-centre campus on red earth, with cooling pipes, electrical infrastructure and adjacent new foundations.

Land secured in Hyderabad

Tata Consultancy Services’ data centre arm HyperVault plans a new AI campus in Hyderabad, the capital of India’s Telangana state. The company and its partners envisage investment of up to 700 billion rupees, about 7.4 billion dollars. The secured site covers approximately 107 hectares. The announcement sets out a campus with capacity of up to one gigawatt, alongside that upper investment limit.[1], [2]

HyperVault plans to develop capacity in phases

TCS says the site is to be developed in phases according to customer demand and technology needs. Its intended uses include training AI models on graphics processors and running the trained models for inference. The target customers include frontier AI companies and large cloud providers. TCS describes liquid-cooled, high-density compute as the infrastructure it intends to offer them.[1], [2]

TCS targets green energy and water neutrality

TCS says the campus is designed to use green energy and be water-neutral, without defining those terms for the project. These remain design objectives rather than measured results from an operating facility. The Hyderabad announcement follows TPG’s November 2025 agreement for 1 billion dollars in equity for TCS’s data centre division.[1], [2]

References

  1. News sourceMoneycontrolTCS HyperVault secures land for a Hyderabad AI campus↩1↩2↩3
  2. News sourceTNWTCS’s HyperVault plans a Hyderabad AI campus with capacity of up to 1 gigawatt↩1↩2↩3