Nvidia continues to expand its influence in India’s rapidly growing technology landscape. The company introduced a new Hindi-language AI model, Nemotron-4-Mini-Hindi-4B, during CEO Jensen Huang's visit to the country on October 24.
This AI model, featuring 4 billion parameters, is designed specifically to cater to the Hindi-speaking population, which makes up a large portion of India’s 1.4 billion people.
The new model is a lightweight alternative to larger language models, making it an affordable solution for firms looking to create AI systems focused on Hindi and its many dialects. Nvidia's Nemotron-4-Mini-Hindi-4B has been trained on a blend of real-world and synthetic Hindi data, alongside English, offering an adaptable framework for businesses to develop their own AI applications. This opens up new opportunities for AI-powered customer service, content translation, and other consumer-facing functions that require Hindi-language support.
Tech Mahindra, one of India’s leading IT service providers, has already adopted Nvidia's model to create Indus 2.0, a custom AI tool designed to enhance communication in Hindi and its various dialects. This partnership marks the beginning of what could be a larger trend in the Indian tech ecosystem, as more businesses recognise the value of AI solutions tailored to local languages.
Despite India’s vast linguistic diversity, only about 10% of the population speaks English, while Hindi remains the most spoken language. Nvidia’s decision to focus on Hindi is a strategic move, aligning with the needs of businesses seeking to reach the vast non-English-speaking demographic. The launch of this model comes at a time when global chip companies are intensifying their efforts to establish a strong presence in India. Nvidia has had a footprint in the country for nearly two decades, with design centres and offices in major tech hubs such as Bengaluru and Hyderabad.
As the world’s attention turns to AI-driven technologies, Nvidia’s Hindi-language AI model highlights the importance of localising tech solutions for markets as diverse as India. The model’s smaller, more focused data set offers a cost-effective solution for companies with limited resources, making AI innovation accessible to a wider audience.