Nvidia has emerged as a central player in India’s artificial intelligence (AI) ambitions, with its advanced chips and computing infrastructure powering major projects by Reliance Industries, Yotta, Larsen & Toubro (L&T) and Bengaluru-based AI startup Sarvam. However, growing concerns over Nvidia and a global reassessment of AI investments have raised questions about India’s dependence on a single technology supplier.
Nvidia at the Centre of India’s AI Expansion
India’s AI infrastructure plans are closely linked to Nvidia’s technology. Reliance is developing a 1-gigawatt AI data centre in Jamnagar, with Nvidia supplying advanced Blackwell chips. Yotta has announced investments exceeding $2 billion in more than 20,000 Nvidia chips, while L&T has partnered with Nvidia to develop gigawatt-scale AI infrastructure.
Nvidia has also made its first investment in an Indian company, Bengaluru-based Sarvam, which is developing AI models focused on Indian languages. More than 4,000 Indian startups are also part of Nvidia’s Inception programme.
The government’s IndiaAI Mission, backed by more than $1 billion, is working to expand domestic computing capacity, support AI startups and develop indigenous AI models. However, a significant portion of the country’s advanced computing infrastructure continues to depend on Nvidia hardware.
Nvidia Controversy Triggers Global Market Concerns
Nvidia has faced increased scrutiny following reports of a possible foreign intelligence connection involving its leadership. The company’s board has initiated an independent investigation, adding to investor concerns.
The developments coincided with a sharp correction in Nvidia shares. The company lost approximately $470 billion in market value over two trading sessions as investors reassessed AI infrastructure spending, technology risks and the sustainability of the AI boom.
The episode has also revived concerns about whether massive investments in AI infrastructure can generate sustainable returns.
Could India’s IT Sector Benefit?
According to government sources cited by NDTV Profit, the AI investment bubble was bound to face a correction at some point. They believe India’s IT sector could emerge as a beneficiary of the developments surrounding Nvidia.
The reassessment of global AI investments could create opportunities for Indian IT companies, particularly if businesses reconsider their technology spending and seek more cost-efficient AI solutions. Government sources have also pointed to Google’s AI ecosystem as a potential strategic beneficiary.
However, the situation also highlights India’s technology dependence. Any disruption in Nvidia’s chip supply, pricing or global partnerships could affect domestic data centre investments, AI startups and the country’s broader AI ambitions.
The Need for AI Independence
The developments have strengthened the case for India to diversify its AI computing infrastructure, expand domestic semiconductor capabilities and reduce dependence on a limited number of global technology providers.
India’s AI ambitions are growing rapidly, but building a sustainable ecosystem will require more than investments in data centres and advanced chips. Developing indigenous technologies and alternative computing platforms will be critical to securing long-term technological independence.
