In an interesting and breakthrough development, NVIDIA, the generative AI giant has announced its partnership with TCS, Tata Communications, and Tata Motors. This move comes after NVIDIA has been planning to expand to India and extend the country’s AI capabilities and harness its potential. 

This collaboration aims to make cutting-edge AI capabilities accessible to a wide range of organisations, businesses, AI researchers, and startups in India. Together, these companies will join forces to construct a powerful AI supercomputer, utilising the advanced NVIDIA GH200 Grace Hopper Superchip, with the goal of achieving top-tier performance in the field.

This partnership with NVIDIA will further empower TCS to collaborate with its customers, embracing an AI-first approach to drive innovation. Furthermore, TCS plans to enhance the skills of its extensive workforce, numbering 600,000, through this partnership.

“The global generative AI race is in full steam,” said Jensen Huang, founder and CEO of NVIDIA. “Data centers worldwide are shifting to GPU computing to build energy-efficient infrastructure to support the exponential demand for generative AI.

This is not the first time that NVIDIA is partnering with a Tata enterprise. Last year, Jaguar Land Rover had formed a multi-year strategic partnership with NVIDIA to jointly develop and deliver next-generation automated driving systems plus AI-enabled services and experiences for its customers.

Starting in 2025, all new Jaguar and Land Rover vehicles will be built on the NVIDIA DRIVE™ software-defined platform-delivering a wide spectrum of active safety, automated driving and parking systems as well as driver assistance systems. Inside the vehicle, the system will deliver AI features, including driver and occupant monitoring as well as advanced visualisation of the vehicle’s environment.

Additionally, to make India’s move in AI even further, NVIDIA has also announced its partnership with Mukesh Ambani’s Reliance Industries to develop India’s foundational large language model trained on the nation’s diverse languages and tailored for generative AI applications to serve the world’s most populous nation.