IndiaAI Mission

✦Key Features

• Total outlay: ₹10,371.92 crore over 5 years (2024-2029); Cabinet approved March 7, 2024
• 38,000+ GPUs onboarded for common compute facility at under $1/hour (most cost-effective globally)
• 12 teams shortlisted for developing indigenous LLMs/foundation models in Indian languages
• 30 AI applications approved for India-specific use cases (healthcare, agriculture, governance)
• 27 India Data and AI Labs established; 543 more identified across India
• 7 pillars: AI Compute (₹4,500 cr), Innovation Centre, Datasets Platform, Applications, Safety, Skilling, Startups
• Students supported: 8,000+ UG; 5,000+ PG; 500 PhD; DeepFake Analysis Unit established

✓Eligibility Criteria

• Indian startups and MSMEs engaged in the development of artificial intelligence technologies and applications.
• Academic institutions and research organizations focusing on AI-led innovation and foundational model development.
• Government departments and implementing agencies seeking to deploy AI solutions for public service delivery.
• Private companies participating through the Public-Private Partnership (PPP) model to build AI compute infrastructure.

★Benefits

• Provision of high-speed AI compute infrastructure, including thousands of GPUs, through a cloud-based distribution model.
• Access to the India Datasets Platform which provides high-quality non-personal datasets for training AI models.
• Financial support through the IndiaAI Startup Crossroads for early-stage and growth-stage AI ventures.
• Establishment of AI Centres of Excellence (CoEs) for collaborative research and development in priority sectors like healthcare and agriculture.

▶Application Process

• Interested organizations must register on the central IndiaAI portal to access the mission's various pillars.
• Eligible startups apply through periodic 'Call for Proposals' issued by the IndiaAI Independent Business Division (IBD).
• Technical and financial proposals are submitted online for evaluation by an expert committee based on predefined innovation metrics.
• Selected entities sign a memorandum of agreement to receive compute resources or financial grants under the mission guidelines.

₹ Budget Allocation

10372

Funding Ratio (Centre:State): 100% Central Sector Scheme (MeitY)

Historical Context

Follows the National Strategy for Artificial Intelligence (2018). It transition from policy framework to a funded mission in March 2024.

Sub-Schemes

Challenges

• High cost and supply chain issues for H100/A100 GPUs
• Brain drain of top AI researchers to Silicon Valley
• High energy and water consumption of AI data centers
• Regulatory uncertainty regarding AI ethics and copyright

Reforms & Recommendations

• Create 'AI Sandboxes' for startups to test models without liability for a fixed period
• Incentivize use of renewable energy for AI data centers
• Mandate AI literacy in school curricula to build a future-ready workforce

Performance Statistics

SDG Linkages

Constitutional Backing

Technology Used

Success Stories

Key Takeaways

• 10,000+ GPU compute capacity target
• Establishment of IndiaAI Innovation Centre
• IndiaAI Datasets Platform for non-personal data
• Focus on 'Sovereign AI' and 'AI for Healthcare/Agriculture'

Convergence Schemes

• Digital India
• National Supercomputing Mission (NSM)
• Semicon India Program

Sector Tags