Nvidia has announced a series of partnerships with major Indian enterprises and technology firms to expand the use of its AI computing platforms and graphics processing units (GPUs) across industrial and software-driven use cases, as demand for artificial intelligence infrastructure accelerates in the country.
The company said it is working with Reliance New Energy, Hero MotoCorp, Larsen & Toubro Semiconductor and Tata Consultancy Services, among others, to enable access to its GPU chips, open-source AI models and AI development software for a range of industrial applications. The announcements were made on the sidelines of India’s five-day AI Impact Summit.
In addition to industrial groups, several Indian IT services providers — including Infosys, Persistent Systems, Tech Mahindra and Wipro — are adopting Nvidia’s enterprise AI software platforms to add new AI and software management capabilities for their clients. The move comes as India’s $283 billion IT services sector faces growing disruption from foundation model providers whose generative AI systems can automate coding, support and knowledge-process tasks traditionally delivered by outsourcing firms.
Vishal Dhupar, managing director for South Asia at Nvidia, said India remains a priority growth market for the company due to the speed at which enterprises are adopting accelerated computing infrastructure.
India’s strength lies in its ability to rapidly adopt accelerated computing and translate GPU-driven efficiency gains into large-scale infrastructure and application outcomes, Dhupar said at a media briefing.
Nvidia also highlighted its engagement with a number of Indian generative AI startups that are building foundation models using its GPU platforms. These include BharatGen, CoRover, Gnani, Sarvam and Soket — companies supported under the Indian government’s $1.2 billion AI Mission led by the Ministry of Electronics and IT. The company said these startups are using Nvidia hardware and software stacks to develop domain and language-focused AI models.
The partnerships also extend through global electronic design automation and industrial software vendors such as Cadence, Siemens and Synopsys, which are integrating Nvidia’s AI and accelerated computing capabilities into engineering, semiconductor and manufacturing workflows used by Indian enterprises.
In a company blog post, Nvidia said India is entering a new industrial phase where AI is reshaping how physical systems and products are designed and operated. It noted that India is investing an estimated $134 billion in new manufacturing capacity across sectors such as construction, automotive, renewable energy and robotics, creating demand for AI-native and software-defined factory infrastructure.
Nvidia’s expanded India push also aligns with broader deep-tech investment activity. The company joined the India Deep-Tech Alliance last year, a consortium of technology firms and venture investors backing AI startups. This week, the alliance said its funding pool has expanded to more than $2.5 billion, with a commitment to invest $1 billion in Indian AI startups over the next three years.
Nvidia, now the world’s most valuable listed company by market capitalization, has seen demand for its GPUs surge globally as they have become the primary compute engine for training and running large AI models. Company executives declined to comment on whether GPUs will remain the dominant AI compute architecture over the long term, amid ongoing industry work on alternative and lower-cost processor designs.
The company was represented at the AI Impact Summit by senior leadership including executive vice president Jay Puri after CEO Jensen Huang cancelled his scheduled appearance
