During the AI Summit held in Mumbai on October 24, 2024, Nvidia's CEO Jensen Huang announced significant collaborations aimed at positioning India as a global leader in artificial intelligence. This strategic shift marks a departure from India's traditional role as a software exporter.
Nvidia's partnerships with key industry players, including Reliance Industries and the Tata Group, are set to enhance India's AI capabilities. A notable project includes the establishment of a 1-gigawatt AI data center in Jamnagar, Gujarat, designed to utilize renewable energy, thereby promoting sustainable technological growth.
Additionally, Tata Communications plans to implement Nvidia's advanced chips to power a major cloud-based supercomputer, expected to be operational by the year's end. Other collaborations with Netweb Technologies and E2E Networks will further broaden the adoption of enterprise data centers.
In a bid to address India's linguistic diversity, Nvidia introduced the Nemotron-4-Mini-Hindi 4B, a Hindi-language AI model aimed at providing culturally relevant AI solutions. The company also intends to train approximately 500,000 developers to foster nationwide AI adoption.
Other significant initiatives include Tech Mahindra's Project Indus 2.0, which focuses on customizing AI applications, and the establishment of dedicated Nvidia business units by Tata Consultancy Services and Tech Mahindra.
Furthermore, Yotta Data Services has expanded the availability of Nvidia AI applications on its cloud service, 'Shakti,' enhancing computational capabilities for Indian enterprises. Reliance Industries and Ola Electric are adopting Nvidia's Omniverse platform for digital simulation technologies.
Partnerships with Flipkart and Wipro aim to improve customer services and integrate generative AI into healthcare solutions, respectively. Mukesh Ambani of Reliance Industries expressed optimism about India's potential in the AI market, highlighting the country's youth as a driving force in this transformation.
Huang projected that India could transition from a software exporter to a significant exporter of AI solutions, with the potential to boost the country's electronics industry from $155 billion to a targeted $500 billion by 2030.
Despite challenges in scaling the semiconductor industry, the Indian government's commitment to enhancing local manufacturing capabilities offers a promising outlook. Huang indicated a projected twentyfold increase in computing capacity by the end of 2024, reinforcing India's emerging role in the global AI landscape.