The Union Cabinet chaired by Prime Minister Narendra Modi approved the IndiaAI Mission in March 2024 with a total outlay of ₹10,371 crore over five years.
Key Pillars
AI Compute Infrastructure
The mission targets 10,000+ GPU capacity accessible to startups, researchers, and government departments through a shared compute marketplace.
India Datasets Platform
A unified data repository will aggregate high-quality, anonymised government and public datasets to train AI models relevant to Indian languages and contexts.
IndiaAI Innovation Centre
Front-line AI research will be led by the IndiaAI Innovation Centre, which will develop Large Multimodal Models (LMMs) for critical sectors like agriculture, health, and the judiciary.
Skilling and Startups
| Initiative | Target |
|---|---|
| Annual AI skilling | 1 lakh students |
| GPU compute capacity | 10,000+ GPUs |
| Startup financing | Early-stage AI ventures |
| Nodal ministry | Ministry of Electronics & IT (MeitY) |
Significance
India currently ranks third globally in AI talent concentration. The mission aims to make India a top AI hub by 2030 while reducing dependence on foreign AI infrastructure.
Exam Relevance
Prelims Focus
- IndiaAI Mission — outlay, pillars, nodal ministry
- India's AI global ranking
- Large Multimodal Models (LMMs)
Mains Focus
GS Paper III: Role of government in science & technology, digital economy, and data governance.
Investing in sovereign AI infrastructure is critical for India's strategic autonomy in the rapidly evolving global AI landscape.