Not manpower, India should learn to export intelligence: Nvidia CEO Jensen Huang

“Why export the labor while the software is built somewhere else? Why not manufacture the intelligence here and then export it?” says Nvidia CEO Jensen Huang in response to a question from India Today on how India can avoid being relegated to a back-office role during the new era of intelligence revolution Jensen Huang stresses the importance of India building its own AI capabilities locally rather than providing labor for software development done elsewhere, suggests that India should focus on creating and exporting AI innovations directly, positioning itself as a leader in AI development in instead of a back-office service provider, as was the case during the great IT revolution.

“You have the data, the power and the infrastructure. You have the critical ingredients in the country to be able to collect the raw data and transform it into intelligence,” Huang added. “There are many Indians out there who will enjoy Hindi on their phones, all over the world. These chips should be manufactured here (India). This intelligence should be manufactured here.”

Huang is currently in India and has met Prime Minister Narendra Modi and Reliance Chairman Mukesh Ambani during the visit.

At an event in Mumbai, the Nvidia CEO also launched a new AI model in Hindi called Nemotoron-4-Mini-Hindi-4B, which aims to enable companies in India to develop their own AI models .

Nvidia has been a key player in India’s technology landscape for over two decades, focusing on research, development and building a robust AI ecosystem. CEO Jensen Huang has often emphasized India’s potential in the AI ​​revolution, encouraging local development and innovation rather than relying solely on IT services.

The company entered the Indian market in 2004, establishing its initial operations in Bangalore, which remains a central hub of its activities. It later expanded to other cities such as Hyderabad and Pune, establishing R&D centers that contribute to the global development of GPU, AI and software technologies.

Over the years, Nvidia has partnered with academic institutions, research organizations and government bodies in India through initiatives such as the Nvidia Deep Learning Institute (DLI), which provides training in AI and deep learning to students, researchers and practitioners of the sector, with the aim of driving the adoption of AI across the country.

The company has also established partnerships with major Indian companies such as Tata Consultancy Services (TCS), Wipro, Infosys and Reliance, enabling them to integrate AI, machine learning and GPU-based computing in sectors such as healthcare, automotive and finance . Nvidia is also supporting India’s high-performance computing (HPC) ambitions by collaborating with institutions such as IITs to improve AI infrastructure and supercomputing capabilities.