Google AI Hub 2025: This is a major global challenge-for example, AI data centres in Scotland are using enough tap water to fill 27 million half-litre bottles a year.

Google AI Hub India: Google has announced the launch of its largest AI hub outside the US in Andhra Pradesh, India, with a total investment of 15 billion dollars over the next five years (2026-2030). The hub will feature large-scale data centres, advanced energy systems, and an expanded fibre network, all essential for driving AI-powered transformation across multiple sectors. For students, this hub could provide opportunities to learn, experiment, and gain hands-on experience with cutting-edge AI technologies.

The AI hub will serve as a central hub providing tools, infrastructure, and resources for developing, training, and managing Artificial Intelligence models.

What Will the AI Hub Include?

Energy Systems: Energy systems are critical since data centres consume enormous amounts of power and water to operate and stay cool. This is a major global challenge-for example, AI data centres in Scotland are using enough tap water to fill 27 million half-litre bottles a year, according to BBC news. Energy systems in AI hubs include power grids, renewable energy sources (like solar and wind), and advanced cooling technologies.

Data Centres: Data centres house servers and storage facilities used to train and run AI models, which involve generating images and videos at high computational speeds. Storage facilities hold data such as emails, videos, cloud files, websites, and more-everything necessary to run and train AI models. Google has stated that its data centre in India will match the infrastructure that powers global services like Search, YouTube, and Workspace.

Fibre Networks: Training large AI models involves massive amounts of data-from terabytes to petabytes. Fibre networks provide ultra-high-speed connectivity (10 Gbps, 100 Gbps, or more), ensuring that data flows quickly enough for real-time processing.

What Kind of Data Is Stored in AI Centres?

AI data centres store and process:

• Training data for machine learning models (text, images, audio, video, etc.)
• User data (consented and anonymized) to improve services like search, translation, and recommendations
• Model parameters and algorithms that power AI systems
• Application data for products like cloud storage, maps, and productivity toolsIn essence, AI centres act as the digital brain of tech companies, where vast amounts of data are processed, analyzed, and transformed into intelligent systems powering tools like Google Search, Maps, and generative AI models.