Jensen Huang’s Exit: How Deep Does NVIDIA’s AI Ecosystem Run In India?

by · Inc42

SUMMARY

  • NVIDIA’s influence in India extends far beyond GPU sales, spanning AI infrastructure, software, developer ecosystems, startup incubation and direct equity investments.
  • With Indian data centre operators committing billions of dollars to NVIDIA-powered infrastructure, and enterprises and startups building on its CUDA-led software stack, the company has become deeply embedded in the country's AI ambitions.
  • As Jensen Huang exits, the bigger question is whether India can reduce its dependence on a single technology provider, particularly as geopolitical uncertainties, export restrictions and competing chip architectures reshape access to AI compute.
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Jensen Huang’s exit from NVIDIA has put the spotlight on the company’s leadership and succession plans. But for India, the more consequential question is what happens to an ecosystem that has increasingly come to depend on the American chipmaker for its AI ambitions.

From data centre operators ordering thousands of GPUs to startups building on its software stack, NVIDIA has established relationships across almost every layer of India’s AI industry. Its influence extends beyond hardware procurement to cloud infrastructure, developer tools, technical partnerships, startup incubation and even equity investments. It is also helping Indian companies access global investors and customers.

The scale of this presence is visible in the country’s expanding AI infrastructure ambitions. 

Some of the key partnerships include Yotta Data Services committing to deploying more than 20,000 NVIDIA Blackwell Ultra GPUs, while Greenko promoters-backed AM Intelligence (AMI) has announced orders for 29,000 next-generation Rubin GPUs. L&T’s Vyoma, meanwhile, is developing a 10,000-GPU AI Factory using NVIDIA’s B300 architecture.

But these relationships are not identical. Some companies procure hardware, others access NVIDIA’s technology through OEMs and systems integrators, while several startups rely primarily on its software and developer ecosystem.

India’s dependence on NVIDIA runs across three layers: hardware, software and commercial relationships. 

Competing with NVIDIA and providing alternatives to its Indian partners, therefore, requires more than matching its hardware. Rivals must also replicate its software ecosystem and industry relationships, Sanchit Vir Gogoi, analyst and founder of Greyhound Research, told Inc42.

The question is whether Huang’s departure changes any of these relationships, and how exposed Indian companies are to a change in NVIDIA’s priorities.