Google confirmed its first AI hub in India in Visakhapatnam, backed by $15 billion over 2026–2030. The campus starts at 1 GW of capacity with plans to scale to multiple gigawatts.
📌 Key Takeaways
- $15B investment over five years, 2026–2030.
- 1-GW initial block, scaling to multi-GW in phases.
- New international subsea gateway will land multiple cables in Vizag.
- Local partners include AdaniConnex and Airtel for buildout.
- Touted as Google’s largest AI hub outside the US, part of a 12-country network.
Google Picks Visakhapatnam For A $15B Multi-GW AI Hub
Google’s India blog sets the commitment at about $15 billion to establish a gigawatt-scale AI hub in Visakhapatnam. The aim is to bring the full AI stack and consumer services closer to users and developers in the region.
At a New Delhi event, Google Cloud’s Thomas Kurian described it as the company’s largest AI hub outside the United States, and part of a wider network of AI centres in 12 countries.
Where It Is And How It Scales
The campus will rise in Visakhapatnam with an initial 1-GW footprint. Google says it will scale to multiple gigawatts over time to meet growing AI demand for training and inference.
Earlier state figures of $10B were preliminary. Google’s final guidance is $15B across five years, reflecting the capital needs of power, networking, and facilities at this scale.
Vizag location, $15B over 2026–2030, 1-GW start, multi-GW roadmap, and integration into Google’s 12-country AI-centre network.
Connectivity And Energy Plan
Google will build a new international subsea gateway in Visakhapatnam, bringing multiple cables ashore to complement existing landings in Mumbai and Chennai. The goal is more route diversity and lower latency for users and customers.
On infrastructure, Google highlights partners AdaniConnex and Airtel and notes work on transmission lines, clean energy generation, and storage in Andhra Pradesh to support the hub responsibly.
Why It Matters For Builders
A local hub reduces latency and helps with data-residency requirements for finance, health, and public services. It also shortens time-to-adopt for new models and APIs as they roll out.
For startups and enterprises, proximity to compute enables faster training, fine-tuning, and evaluation, while the subsea gateway improves throughput to global services and partners.
Jobs, Scale, And Context
Reuters reports the project is expected to generate around 188,000 jobs, underlining the economic footprint around large AI centres. The hub also sits within a wider national wave of data-centre investment by global and domestic players.
Google frames the site as a pillar in a global expansion of AI capacity. The five-year schedule aligns with rising demand for AI services and the need to link thousands of accelerators in power-dense clusters.
Conclusion
Google’s Visakhapatnam hub is a step-change in local AI capacity. If the power plan, connectivity, and staged builds land on time, Indian developers gain a nearer runway for model-driven products and services.
Delivery at multi-GW will test power sourcing, network fabrics, and supply chains. Success would position India as a regional anchor for AI infrastructure and a faster path from concept to production.
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14th October 2025
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