Vaishnaw’s rationale is that the smaller models will solve 95% of Indian users’ problems at a fraction of the cost. Moreover, the nation doesn’t want to fall prey to the AI bubble, in which the collapse of one overvalued AI company could hurt the economy.
Nvidia’s open-source Nemotron models have played a role in the development of some localized models, including the 17-billion-parameter BharatGen, which powers applications in public services, agriculture, security and cultural preservation, the company said.
Nvidia has also contributed to AI in India’s central digital payment system called United Payments Interface (UPI), which has been praised for its speed and efficiency. NPCI, which runs UPI, “is exploring training FiMi, a financial model for India, using the Nvidia Nemotron 3 Nano model and its own datasets,” Nvidia said in a statement.
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