On April 28, 2026, Google officially broke ground on its landmark $15 billion India AI Hub in Visakhapatnam (Vizag), Andhra Pradesh. This project marks Google’s most significant investment in India to date and is poised to become its largest AI infrastructure hub outside of the United States.
Key Project Details
Investment: $15 billion (approximately INR 1.35 lakh crore) will be invested over five years (2026–2030).
Capacity: A 1 GW (Gigawatt) hyperscale AI data center campus, specifically designed for the high-density computing demands of training and serving AI models like Gemini and Google Search.
Location: The hub will span approximately 600 acres across three sites: Tarluvada, Rambilli, and Adavivaram.
Partnerships: The development is a strategic collaboration with AdaniConneX and Nxtra by Airtel, who will manage the construction of the data center buildings and supporting infrastructure.
Infrastructure Features
The hub will feature a “full-stack” AI infrastructure, including:
- Three extensive data center campuses
- A new international subsea gateway (part of the America-India Connect initiative) landing in Vizag, ensuring low-latency global connectivity
- Dedicated renewable energy sources and storage systems to align with Google’s sustainability objectives
Strategic Significance
The groundbreaking ceremony was attended by key political figures, including Andhra Pradesh Chief Minister N. Chandrababu Naidu and Union IT Minister Ashwini Vaishnaw.
Viksit Bharat 2047: Google Cloud CEO Thomas Kurian highlighted the hub as a “strategic blueprint” to support the Indian government’s vision for a developed India by 2047.
Economic Impact: The project is expected to create thousands of high-value jobs in areas such as data science, AI operations, and cybersecurity, solidifying Visakhapatnam’s position as a global “Data City.”
Timeline: The core facility is anticipated to be completed by July 2028.
This investment underscores a strategic shift among hyperscalers towards developing concentrated, gigawatt-scale infrastructure clusters to meet the escalating computational demands of the generative AI era.