The Minister also launched a call for proposals under the IndiaAI Mission inviting startups, researchers, and entrepreneurs to support development of indigenous foundational AI models using Indian datasets.
Features of Indian AI model
- Graphics Processing Units(GPUs) : It will be initially launched with 10,000 GPUs with plans to expand to 18,693 GPUs.
- GPU is a specialized processor which can process many pieces of data simultaneously, making them useful for machine learning, video editing etc
- Cost effective: India’s AI Model computation will cost <100 rupees per hour after 40%. government subsidy. Presently global models computation costs 2.5 to 3 dollars per hour usage.
- Multidimensional Usages: create scalable and impactful AI solutions across sectors such as healthcare, education, agriculture, climate, and governance
Need for Indigenous AI models
- Boosting Innovation and Research: To achieve global standards and address unique challenges and opportunities within the Indian context.
- Focus on Ethical AI: For prioritization of ethical AI practices, with a focus on inclusivity, fairness and the elimination of biases and address the diverse cultural, and societal context of the country.
- Strengthening digital Sovereignty: Enhancing nation’s ability to control its digital infrastructure and include control over the entire AI supply chain, from data to hardware and software.
- Security and data protection: Safety initiatives, including AI Bias Mitigation, Explainable AI frameworks, and AI Privacy Strategies, aiming at protecting data from foreign ML models.
Indian Initiatives to Develop indigenous AI model
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