Home India Ministry of Electronics and Information Technology Parliament Question: India AI Mission...
Date: 2025-07-23 Category: Not Applicable State: Union Government Country: India

Parliament Question: India AI Mission

Issued by Ministry of Electronics and Information Technology · Not Applicable

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Executive Summary & Key Takeaways

Executive Summary: The India AI Mission, launched in March 2024, aims to establish a robust and inclusive AI ecosystem in India. It focuses on democratizing technology use, addressing India-centric challenges, and creating economic opportunities. The mission encompasses seven pillars, including compute power, application development, data platforms, foundation models, skills development, startup financing, and safe AI practices, with the goal of positioning India as a global AI leader. Key Points / Main Content: * **IndiaAI Compute:** * Provides subsidized, high-end GPU compute power to Indian startups and academia. * 34,381 GPUs onboarded from 14 empanelled service providers. * Average GPU rate is Rs 65 per GPU per hour; H100 GPUs at Rs 92 per GPU per hour. * **IndiaAI Application Development Initiative:** * Develops AI applications addressing India-specific challenges (climate change, healthcare, agriculture, governance, assistive technologies). * 30 applications approved to date. * Sector-specific hackathons organized, including the CyberGuard AI Hackathon with I4C. * **AIKosh:** * Develops large datasets for training AI models. * Unified data platform integrating government and non-government datasets. * Beta version launched in March 2025: features 890+ datasets, 208 AI models, and 13+ development toolkits. * Attracted 265,000+ visits, 6,000 registered users, and 13,000 resource downloads. * **IndiaAI Foundation Models:** * Develops Large Multimodal Models (LMMs) trained on Indian datasets and languages. * Over 500 proposals received; 4 startups selected in the first phase: Sarvam AI, Soket AI, Gnani AI and Gan AI. * **IndiaAI FutureSkills:** * Develops AI-skilled professionals by increasing graduates, postgraduates, and PhDs. * Supports 500 PhD fellows, 5,000 postgraduates, and 8,000 undergraduates. * 200+ students received fellowships; 26 partner institutes onboarded PhD students. * Setting up Data and AI Labs in Tier 2 and Tier 3 cities (27 identified with NIELIT). * 174 ITIs and polytechnics nominated for IndiaAI data labs. * **IndiaAI Startup Financing:** * Provides financial assistance to AI startups. * IndiaAI Startups Global program launched in March 2025 with Station F Paris and HEC Paris. * 10 Indian AI startups are receiving assistance to expand into the European market. * **Safe Trusted AI:** * Balances innovation with governance for responsible AI adoption. * 8 projects selected in the first round. * 400+ applications received in the second round. * Expression of interest published on May 9, 2025, for onboarding partner institutions for the IndiaAI Safety Institute. * **Global Engagement:** * Actively participates in shaping the global debate on AI development, usage, and safety. * Founder chair of Global Partnership on Artificial Intelligence (GPAI). * India is poised to host the AI Impact Summit in February 2026. Impact Analysis: * **Indian Startups and Academia:** * Impact: Access to subsidized compute power, datasets, and funding opportunities to develop AI solutions. * Action Required: Apply for GPU access, utilize AIKosh resources, and participate in startup financing programs. * **AI Professionals and Students:** * Impact: Opportunities for advanced AI education and training through fellowships and new labs. * Action Required: Apply for fellowships and participate in AI skills development programs. * **Government and Partner Institutions:** * Impact: Collaboration in developing and deploying AI solutions for various sectors and contributing to policy frameworks. * Action Required: Partner in setting up AI labs, contribute datasets to AIKosh, and participate in safety and governance initiatives.

Key Entities Referenced

India AI Mission: A strategic initiative by the Government of India to establish a robust and inclusive AI ecosystem aligned with India's development goals. AIKosh: A unified data platform integrating datasets from government and non-government sources for training AI models. IndiaAI Foundation Models: An initiative to develop India's own Large Multimodal Models (LMMs) trained on Indian datasets and languages to ensure sovereign capability and global competitiveness in generative AI. IndiaAI FutureSkills: A program to develop AI-skilled professionals in India by increasing the number of graduates, postgraduates, and PhDs in the AI domain. IndiaAI Startup Financing: A program to provide financial assistance to AI startups, including the IndiaAI Startups Global program in collaboration with Station F Paris and HEC Paris. IndiaAI Compute: A pillar of the IndiaAI mission focused on providing high-end compute power (GPUs) to Indian startups and academia at an affordable cost. IndiaAI Application Development Initiative: A pillar of the IndiaAI mission aimed at developing AI applications for India-specific challenges in sectors such as climate change, disaster management, healthcare, agriculture, governance, and assistive technologies. Global Partnership on Artificial Intelligence GPAI: A multi-stakeholder initiative to promote responsible and human-centric development and use of AI, of which India was a founder chair.
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†O.I.H GOVERNMENT OF INDIA MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY LOK SABHA STARRED QUESTION NO. *42 TO BE ANSWERED ON: 23.07.2025 INDIA AI MISSION †*42: SHRI BALABHADRA MAJHI: MS. BANSURI SWARAJ: Will the Minister of ELECTRONICS AND INFORMATION TECHNOLOGYbe pleased to state: a) the objectives and current status of the India AI Mission b) the total compute capacity under the India AI Mission along with the number of GPUs added and the manner in which this infrastructure supports AI innovation; c) the purpose and progress of the AIKosha platform including the number of datasets currently hosted and the manner in which it contributes to developing indigenous AI solutions; d) the number and nature of proposals received under the India AI Foundation Model initiative along with the names of sectors targeted by selected startups; and e) the key outcomes of the India AI I4C CyberGuard, AI Hackathon including participation figures, winning teams and its role in advancing Al-driven cybersecurity? ANSWER MINISTER FOR ELECTRONICS AND INFORMATION TECHNOLOGY (SHRI ASHWINI VAISHNAW) (a) to (e): A Statement is laid on the Table of the House.STATEMENT REFERRED TO IN THE REPLY TO LOK SABHA STARRED QUESTION NO. *42 FOR 23.07.2025 REGARDING “INDIA AI MISSION”. …….. India’s AI strategy is based on the Hon’ble Prime Minister's vision to democratize the use of technology. It aims to address India centric challenges, create economic and employment opportunities for all Indians. AI ecosystem in India at present: India has a strong information technology ecosystem. It generates annual revenues of more than 250 billion dollars and provides employment to more than 6 million people. Global rankings such as Stanford AI rankings place India among the top countries in AI skills, capabilities, and policies to use AI. India is also the second-largest contributor to GitHub AI projects, showcasing its vibrant developer community. India’s AI strategy: India’s AI strategy aims to position India as a global leader in artificial intelligence. Government launched IndiaAI mission in March 2024.It is a strategic initiative to establish a robust and inclusive AI ecosystem aligned with India's development goals. Seven pillars of AI mission are as follows: 1. IndiaAI Compute pillar • To provide high-end compute power (GPUs) to Indian start-ups and academia at an affordable cost. • As on date, 34,381 GPUs have been onboarded from 14 empanelled service providers. • Government of India provides these GPUs at a subsidized cost. The average rate for these GPUs is about Rs 65 per GPU per hour. The price of H100 GPUs, widely used for foundational model training, is Rs 92 per GPU per hour which is significantly lower than the commercial hyperscaler cloud providers. 2. IndiaAI Application Development Initiative • This pillar aims to develop AI applications for India specific challenges in sectors such as climate change and disaster management, healthcare, agriculture, governance, and assistive technologies for learning disabilities. • As on date, 30 (thirty) applications have approved. • In addition, sector-specific hackathons have been organized in partnership with other ministries and government institutions. • Example: IndiaAI launched the CyberGuard AI Hackathon in collaboration with the Indian Cybercrime Coordination Centre (I4C) under Ministry of Home Affairs to develop AI-driven solutions for cybersecurity. 3. AIKosh- • To develop large datasets for training AI models. • AIKosh is a unified data platform integrating datasets from government and non-government sources. • The beta version launched in March 2025 currently features over 890 datasets, 208 AI models, and more than 13 development toolkits. • These resources serve as building blocks for developers, allowing them to focus on core AI functionality instead of recreating modules.• Example: A team working on agriculture AI solutions can use the Kisan Call Center datasets, which contains over 40 million farmer queries. This helps them to build and improve their model. • The platform has attracted over 265,000 visits, 6,000 registered users, and 13,000+ resource downloads. 4. IndiaAI Foundation Models • To develop India’s own Large Multimodal Models (LMMs) trained on Indian datasets and languages. • This is to to ensure sovereign capability and global competitiveness in generative AI. • India AI Mission received more than 500 proposals. In the first phase, 4 start-ups have been selected. They include Sarvam AI, Soket AI, Gnani AI and Gan AI. 5. IndiaAI FutureSkills • To develop AI skilled professionals in India by increasing the number of graduates, post- graduate and PhDs in AI domain. Support is provided to: o 500 PhD fellows o 5,000 post graduates o 8,000 undergraduates • Over 200 students have received fellowships in the first year, with 26 partner institutes onboarding PhD students. • It also envisions setting up Data and AI Labs in Tier 2 and Tier 3 cities across India. • IndiaAI in collaboration with NIELIT has identified 27 data labs in Tier 2 and Tier 3 cities across the country. • Additionally, State/UTs have nominated 174 ITIs and polytechnics for setting up IndiaAI data labs. 6. IndiaAI Startup Financing • To provide financial assistance to AI start-ups. • IndiaAI Startups Global program was launched in March 2025 in collaboration with Station F (Paris) and HEC Paris. 10 Indian AI startups are getting assistance in expanding into the European market. 7. Safe & Trusted AI • To balance innovation with strong governance frameworks to ensure responsible AI adoption. • In the first round, 8 projects have been selected addressing issues like machine unlearning, bias mitigation, privacy-preserving machine learning, explainability, auditing tools, and governance testing framework. • More than 400 applications have been received in the second round. • An expression of interest was published on 09th May 2025 for onboarding partner institutions for setting up the IndiaAI Safety Institute. Shaping global debate on AI:• India is actively participating in shaping global debate on development, usage and safety of AI. • India was the founder chair of Global Partnership on Artificial Intelligence (GPAI). • India was able to carve out consensus on AI during the G20 communique. • India is poised to host the AI Impact Summit in February 2026. It will bring governments, international institutions, start-ups, private sector companies and academia on one platform. ***

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