"AI is the new electricity, and it will transform every industry." - Andrew Ng, AI pioneer
Bridging infrastructure gap
A government paper states AI must be broad and inclusive. Currently, resources are concentrated in few firms. India needs a framework to lower barriers and ensure equitable participation beyond major hubs.
Scaling data centres
India has 20 percent of world data but only 3 percent of capacity. Demand is rising with AI workloads. Projections show current capacity of 960 MW reaching 9.2 GW by 2030.
Check our posts on AI in India; click here
Regional hubs
Mumbai and Navi Mumbai lead in data centre capacity. Chennai, Bengaluru, and Hyderabad also hold significant shares. The goal is to make resources available so more actors can build AI responsibly.
Read the White Paper and our analysis
Sovereign compute
The IndiaAI Mission is building a secure GPU cluster with 3,000 units. This is supported by the India Semiconductor Mission with an investment of 76,000 crore. These funds have facilitated ten advanced chip making projects.
Lowering barriers
Democratising access requires reducing costs. This allows researchers to use infrastructure without owning it. The framework must protect privacy and sustain trust when using sensitive datasets.
Summary
The Government of India aims to democratise AI by expanding compute resources across the nation. Through the IndiaAI Mission and semiconductor investments, the country seeks to provide affordable access for startups, ensuring technology benefits reach beyond large corporations and major cities.
Food for thought
Can India achieve true technological sovereignty if its digital growth remains heavily dependent on global hardware supply chains?
Check our posts on AI in India; click here
AI concept to learn: GPU Cluster
A GPU cluster is a group of many high powered graphics processing units working together. These clusters provide the massive computing power needed to train complex AI models quickly. By sharing the workload, they process vast amounts of data efficiently.
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