The Google Cloud India AI Hub, being developed with AdaniConneX and Nxtra by Airtel, is designed as a gigawatt-scale private cloud and data centre network across three campuses near the port city. The investment is planned over 2026-2030 and marks Google’s biggest infrastructure commitment in the country, combining hyperscale computing, subsea cable connectivity and clean-energy-linked operations.
Andhra Pradesh Chief Minister N. Chandrababu Naidu laid the foundation stone for the project on April 28, 2026, alongside Union electronics and IT minister Ashwini Vaishnaw, state IT and HRD minister Nara Lokesh, Google global infrastructure vice-president Bikash Koley and senior representatives of Adani and Bharti Airtel. The project follows Google’s October 2025 announcement that Visakhapatnam would host its first gigawatt-scale AI hub in the country.
The development is expected to occupy about 600 acres across locations including Tarluvada, Rambilli and Adavivaram. State officials have projected the facility’s operational launch around September 2028, though large data centre campuses of this scale typically move through phased commissioning as power, cooling, network and security systems are completed.
Google’s plan goes beyond a conventional cloud facility. The hub is intended to support AI workloads for services such as enterprise cloud computing, consumer applications, advanced model deployment and data-intensive digital platforms. Its location on the east coast gives Visakhapatnam a strategic role in subsea connectivity, with plans for international cable landings that can improve bandwidth, reduce latency and strengthen links between India, Southeast Asia and global cloud regions.
AdaniConneX, the joint venture between Adani Enterprises and EdgeConneX, is expected to lead major elements of data centre construction and power-linked infrastructure. Nxtra by Airtel will support data centre development, fibre connectivity and cable landing infrastructure. Airtel’s existing telecom backbone and Adani’s energy and infrastructure capabilities give the project domestic execution partners at a time when AI infrastructure is becoming capital-intensive and geopolitically sensitive.
The project also fits into a wider policy push to reduce dependence on overseas compute capacity. Demand for AI infrastructure has expanded rapidly as startups, banks, telecom operators, public agencies and manufacturing groups test generative AI, automation and data analytics. Large language models and AI inference services require dependable access to graphics processing units, high-density power systems, liquid cooling, resilient connectivity and local data storage.
Visakhapatnam’s selection reflects Andhra Pradesh’s attempt to position itself as a technology and logistics corridor after years of competition from established hubs such as Bengaluru, Hyderabad, Chennai, Pune and the National Capital Region. The port city already has an industrial base, naval presence, road and rail connectivity and a coastline suited to cable infrastructure. The state government is banking on the Google project to attract hardware suppliers, energy providers, construction contractors, cloud specialists and AI startups.
Employment claims around the project have been ambitious, with state leaders citing the possibility of hundreds of thousands of direct and indirect jobs through construction, operations, supply chains and associated services. The more immediate employment impact is likely to come from civil works, electrical systems, fibre deployment, facility management, security and engineering support. Higher-skilled roles in cloud architecture, AI operations and chip-level systems may depend on how quickly local training pipelines are aligned with industry needs.
Power and water use will be closely watched. Gigawatt-scale data centres require enormous electricity supply and sophisticated cooling systems, making renewable energy procurement, grid stability and water stewardship critical. Google has said the project will be tied to a long-term clean energy strategy and community programmes covering water, skills, maritime trade modernisation and women-led businesses. Delivering on those commitments will be essential for public acceptance, especially as data centres worldwide face scrutiny over their environmental footprint.
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