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The centre is also inviting applications from Indian startups, researchers, and entrepreneurs to collaborate on building foundational AI models trained on Indian datasets.
The government has also selected 10 companies that will supply 18,693 graphics processing units or GPUs
Vaishaw said that India is going to follow on the lines of DeepSeek, the chinese AI company which built its own AI model under just $6 Mn and with the usage of 2,000 Nvidia H800 GPUs
Union minister Ashwini Vaishnaw has reportedly said that India is planning to build its own domestic large language model (LLM) as part of the INR 10,037 Cr IndiaAI Mission.
The government has also selected 10 companies that will supply 18,693 graphics processing units or GPUs — high end chips needed to develop machine learning tools that can go into developing a foundational model.
Vaishnaw also mentioned that with all the support the Centre is providing to build India’s own AI model, the cost will be the lowest in the world.
According to the IndianAI Mission website, the Centre is also inviting applications from Indian startups, researchers, and entrepreneurs to collaborate on building foundational AI models trained on Indian datasets.
In a press conference today, the minister also mentioned that a team of technical experts will go through all the applications after which the government will start funding those ideas.
Vaishaw said that India is going to follow on the lines of DeepSeek, the chinese AI company which built its own AI model under just $6 Mn and with the usage of 2,000 Nvidia H800 GPUs compared to OpenAI which relies on 100,000 GPUs and spent $100 Mn over the years to build its own AI model.
The minister also added that out of the 18,693 empanelled GPUs, about 15,000 were powerful GPUs which include the likes of NVIDIA H100s, H200s, MI 325x and MI 300x.
In the first week of January, the Ministry of Electronics and Information and Technology (MeitY) received applications for 20,000 GPUs to build AI computing capacity.
Last year, the Indian government also selected eight projects as part of the “Safe and Trusted AI Pillar” under the IndianAI mission across various themes such as machine unlearning, synthetic data generation, AI bias mitigation, ethical AI frameworks, privacy-enhancing tools, explainable AI, AI governance testing, and algorithm auditing tools.