Nvidia CEO predicts India will build its own AI infrastructure

Nvidia CEO Jensen Huang said that India will develop its own AI infrastructure, including data centers and chips, emphasizing AI as essential to modern nations.

Huang compared AI to utilities like water and electricity, suggesting every country needs its own systems.

He highlighted India’s linguistic diversity, noting AI models must reflect local culture and values.

His comments follow India’s recent tax incentives for data centers and cloud providers aimed at attracting investments.

Huang predicted India will see the construction of AI-related factories, including chip and data center facilities, similar to global infrastructure trends.

He also mentioned that AI infrastructure could create employment beyond construction, supporting local startups and businesses.

Huang indicated India’s large IT industry will shift from software maintenance to building AI tools, requiring re-skilling.

Overall, Huang sees AI as a foundational element for India’s future growth.

🔗 Source: YourStory

🧠 Food for thought

Implications, context, and why it matters.

India’s new tax policy aims to lure global AI and cloud infrastructure away from other hubs

Jensen Huang spoke after India’s 2026 budget. It grants notified foreign cloud providers a tax holiday until 2047 for serving global customers using data centre services from India, with conditions that include routing Indian-customer services through an Indian reseller entity 1.
The plan tries to beat hubs such as Singapore by excluding income that would otherwise fall under India’s corporate tax regime. CNBC described that regime as 35% plus surcharge and cess when permanent establishment rules apply 1.
Data centre services must come from notified facilities owned and operated by an Indian company. Sales to Indian users must go through an Indian reseller entity, also an Indian company, which keeps local firms involved 2.
NVIDIA says Yotta built Shakti Cloud. It calls it India’s first AI infrastructure platform, offering high-end computing for clients building and deploying large language models on Indian soil, in partnership with NVIDIA 3.

Nvidia is moving beyond chips toward AI infrastructure

Huang’s comments align with a shift at Nvidia. The company aims to act as an architect of global AI infrastructure, not only a component supplier 4.
Nvidia has put money directly into capacity growth, including a $2 billion investment in CoreWeave. CoreWeave rents access to Nvidia-powered GPUs for AI workloads, plus an expanded strategic partnership to speed CoreWeave’s data centre build-out 5.
This approach supports “sovereign AI” capabilities, meaning locally controlled AI infrastructure such as domestic data centres and computing capacity. It matches Huang’s view that countries will build their own AI infrastructure 4.
Backing data-centre partners can speed construction that lifts demand for Nvidia’s stack, including GPUs and related infrastructure 5.