Edge Data Centres Take Back Seat as Indian AI Startups Flock to Hyperscale Hubs

Edge computing is currently more expensive than traditional data computing and relies on the maturation of the entire ecosystem for success.
Edge data centres, anticipated to expand India’s cloud services market into smaller cities three years ago, have remained an unrealised ambition as applications requiring high-speed connectivity have not developed as forecasted. Indian AI startups, particularly those involved in training complex AI models, require large-scale computational power and storage capacities. These demands are met more effectively by hyperscale data centres in metropolitan hubs like Mumbai and Chennai, rather than smaller edge data centres in tier 2 and 3 cities.  Edge Computing in India Brijesh Patel, founder & CTO of SNDK Corp, an IT solutions and support services company, told AIM that emerging trends in AI, such as Gen AI and reinforcement learning, require substantial computing resources
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Picture of Smruthi Nadig
Smruthi Nadig
Smruthi brings over two years of experience in reporting on the global energy industry. They hold a Master's Degree from the University of Leeds in International Journalism and a Bachelor's Degree from Christ University in Media Studies, Economics and Political Science.
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