Why Google Commits US$15bn to India’s First AI Hub

The scramble for AI computing capacity has moved east.
As hyperscalers burn through available data centre space across Asia, Google Cloud is placing a substantial bet on India with a US$15bn commitment to build the country’s first dedicated AI hub in Visakhapatnam, a port city that has historically sat outside the main technology corridors.
This is Google’s largest single investment in India.
The scope is broad: a data centre campus built for gigawatt-scale computing, new subsea cable infrastructure and renewable energy systems spanning Andhra Pradesh state.
Thomas Kurian, CEO of Google Cloud, says: “India is experiencing a digital transformation that is unparalleled in pace and scale.
“At Google Cloud, we are deeply committed to being a foundational partner in this journey, working alongside the Indian government and industry leaders to realise the vision of a truly AI-first nation.”
How will the AI hub work?
The facility will handle both domestic workloads and international computing demands.
Google Cloud intends to apply the same engineering standards it uses for infrastructure supporting its search engine, YouTube and Workspace products.
Implementation will involve partnerships with AdaniConnex, the data centre arm of the Adani conglomerate and telecoms operator Airtel.
Thomas says infrastructure constraints have become problematic for Indian enterprises so far: “To meet India’s surging digital demands, the Visakhapatnam AI hub will include a purpose-built data centre campus capable of gigawatt-scale compute capacity,” he says.
“It is critical that businesses, developers and researchers have access to the highest-performance, lowest-latency services.”
How subsea gateways fit into Google Cloud’s plans
Geography plays a central role in the project.
India’s international connectivity has long concentrated on Mumbai and Chennai, leaving the eastern coast with limited access to subsea cable infrastructure.
Google Cloud plans to change that by establishing a gateway that brings multiple undersea fibre-optic cables ashore in Visakhapatnam.
Subsea cables handle the bulk of global internet traffic – and their landing points determine network resilience.
More routes mean fewer single points of failure and reduced latency, the delay that occurs as data travels between locations.
For AI applications processing information in real time, even small delays matter.
Thomas argues connectivity unlocks the broader infrastructure investment: “Our commitment extends beyond the data centre walls,” he says.
“This investment includes the construction of a major new international subsea gateway. By bringing multiple international subsea cables to land in Visakhapatnam, we are creating an essential connectivity hub on India’s eastern coast.”
The power requirements driving renewable energy build-out
The energy equation cannot be ignored.
Data centres account for roughly two per cent of global electricity consumption – and AI workloads push that figure higher by demanding more power per server than conventional computing tasks.
Google Cloud says it will collaborate with partners to deliver transmission infrastructure, renewable generation capacity and battery storage across the region.
The company has existing commitments to match its energy use with renewable sources across its global operations.
Visakhapatnam will be held to comparable efficiency benchmarks, though the scale of power required remains substantial.



