Nvidia is embarking on a series of partnerships with Indian firms to deploy its AI chips and technology, deepening its push into a key growth market.
The U.S. chip designer’s CEO Jensen Huang said at its AI Summit in Mumbai on Thursday that Tech Mahindra would use its technology to develop Indus 2.0, an AI model in Hindi. Infrastructure providers Tata Communications and Yotta Data Services also plan to buy and use tens of thousands of Nvidia H100 chips by the end of the year.
The move comes as India’s technology service providers rush to build AI capabilities. Infosys, Wipro and other IT companies have been using Nvidia’s software to develop custom AI applications for corporate clients.
“India used to be a country that exported software. In the future, India will be a country that exports AI,” said Huang.
Wipro said it has trained 225,000 employees on Nvidia’s AI platforms, while Tata Consultancy Services said it has trained 50,000 staff as AI associates. More than 500,000 developers in India have joined the company’s developer program, the company said.
Indian e-commerce firm Flipkart and software provider Zoho will also use Nvidia’s technology to build large language models in Hindi.
The partnerships expand on Nvidia’s existing tie-ups with Reliance Industries to build large language models for Indian languages. That deal included plans for AI cloud infrastructure and training for employees as well.
A few Indian startups are also using Nvidia’s technology. CoRover.ai said its chatbot for Indian Railways handles 150,000 queries in multiple languages every day, and claims it has facilitated over 10 billion customer interactions since launch.
Nvidia has trained more than 100,000 Indian AI developers as it competes with rivals AMD and Intel for India’s growing AI chip market.
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Manish Singh is a senior reporter at TechCrunch, covering India’s startup scene and venture capital investments. He also reports on global tech firms’ India play. Before joining TechCrunch in 2019, Singh wrote for about a dozen publications, including CNBC and VentureBeat. He graduated in Computer Science and Engineering in 2015. He is reachable on manish(at)techcrunch(dot)com.
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