Global AI companies are turning to India for data centre capacity as power and computing constraints elsewhere drive demand for infrastructure across borders.
Indian data centres are hosting international AI customers, with operators reporting demand for larger computing capacity and infrastructure.
International artificial intelligence (AI) companies are increasingly turning to India for data centre capacity as delays in securing electricity and sufficient computing resources in other markets push them to spread their infrastructure across countries.
The shift has positioned India as a base for AI operations serving both domestic customers and users overseas. This also highlights the growing importance of available computing power & reliable electricity to the global AI industry.
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Global AI Firms Look Beyond Their Home Markets
AI companies need substantial computing resources to develop and run their services. However, securing enough electricity and computing capacity has become a challenge in some markets, prompting companies to explore alternatives. According to data centre operators, companies are distributing their infrastructure across multiple countries to manage these constraints.
India is emerging as a destination for this expansion, offering additional data centre capacity to companies looking to support growing demand for AI services.
The development further signals a shift in how international technology companies use India’s digital infrastructure. Rather than relying exclusively on Indian facilities to serve local customers, some are now using them to support overseas operations.
Data centre Operators Report Larger Capacity Requirements
Indian operators are already seeing interest from international AI customers.
“The company is hosting some customers and has contracted large amounts of capacity with others,” said Sunil Gupta, co-founder, chief executive & managing director of Yotta Data Services.
Gupta added international customers were using infrastructure hosted and operated from India to run workloads outside the country.
At CtrlS Datacenters, demand can also rise quickly. Founder and chief executive Sridhar Pinnapureddy said discussions that begin with a requirement for 20 megawatts (MW) can expand to 100MW or more.
Pinnapureddy said the compressed timelines for AI infrastructure were increasing the scale of capacity that operators needed to build. Operators must plan for higher power densities and advanced cooling systems, as well as land availability, electricity transmission, and room for future expansion.
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Power Availability Becomes Central to AI Infrastructure
The shift highlights a practical constraint facing the AI industry: building computing infrastructure requires more than servers and software. Facilities also need sufficient electricity, cooling systems and the capacity to expand as workloads grow.
For India, international demand could strengthen domestic data centres’ role in the global AI infrastructure network. However, operators’ ability to meet larger requirements will depend on securing the power, land, and supporting infrastructure needed to deliver capacity.
The key development is not simply that global AI companies are coming to India, but that Indian data centres are increasingly being used to support workloads beyond the domestic market. The next indicator to watch will be whether operators can translate this interest into contracted capacity and deliver it at the scale and speed AI companies require.
Samarjit Kaur is a journalist and communications professional covering technology & emerging digital trends. With a focus on clarity and context, she reports on developments shaping industries and governance. When not reporting, she chooses to plug-in and relax on her playlists and plan her next bucket-list trips!
