On Thursday, Nvidia announced that it will be supplying advanced AI processors to Indian companies. This also includes Mukesh Ambani-owned Reliance Industries.
This announcement reflects Nvidia’s goal to expand the AI industry in India.
Currently, Reliance is building a one-gigawatt data center in Gujrat to deploy Nvidia Blackwell AI processors. The CEO of the chip maker company and Ambani confirmed it in an AI summit which happened in Mumbai.
On the other hand, Nvidia also aims to deliver its Hopper AI chips in a huge quantity to major data centers. This specifically points to Yotta Data Services and Tata Communication as leading companies in this partnership
“India is going to be the country that will export AI,” says Nvidia CEO
According to Huang India has the potential to become an AI exporter on an international level. He underlined several reasons for his expectations including the country’s large population number, internet access at low costs, and AI infrastructure.
He said, “India is going to be the country that will export AI.” This reflects on India’s transition to AI production from Software outsourcing.
India has been focusing on AI models to tailor diverse languages that exist within different ethnicities of the country. The preference is mutual for startups as well as major corporations.
Nvidia plans to partner with more IT firms like Infosys, Tata Consultancy Services, and Wipro
Nvidia shared that Tech Mahinda, which is an Indian firm offering IT services, is the first to use its Hindi language model focusing on the custom system known as Indus 2.0.
Indus 2.0 was designed to help with Hindi and its different dialects. The goal of this model is to appeal to India’s huge consumer market by the use of AI applications for customer service and content translation.
Nvidia is going beyond Tech Mahinda in partnering with more IT firms like Infosys, Tata Consultancy Services, and Wipro. This partnership involves training half million of developers to create AI agents.
Moreover, Reliance and Ola Electric are ready to use “Omniverse”. It is Nvidia’s simulation technology which assists virtually in testing and optimizing factory plans.
India is not well-resourced for manufacturing semiconductors yet
However, the challenges for India still remain despite AI and semiconductor-centered goals. The country has made a huge chunk of investments in AI. The government initiated $1.25 billion worth of investment to provide support for AI-centered start-ups and projects. Nonetheless, India is still in an infant stage when it comes to manufacturing semiconductors.
The chip fabrication facility is an intense process that requires a skilled workforce for many years of work. Moreover, India has not yet produced its domestically manufactured chip.
According to Huang, India currently covers a relatively small portion of Nvidia’s capital. Still, the company is hopeful and doesn’t overlook the region’s potential in AI and development of semiconductors.
