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.