jute industry4:11 PM IST
India plans sovereign GPUs as Ashwini Vaishnaw discusses local AI hardware manufacturing with Nvidia
Written By Ankit Kumar
Published: | Updated:
India is stepping up efforts to build sovereign AI hardware as IT Minister Ashwini Vaishnaw discusses local GPU manufacturing and edge devices with Nvidia. The move aligns with the government’s broader push to boost deep-tech innovation, reduce reliance on imports and support startups with long-term funding. Sovereign GPUs could enable secure, offline AI applications across sectors such as healthcare, transport and education.
&format=webp&quality=medium)
Ashwini Vaishnaw discusses sovereign GPU manufacturing in India with Nvidia. Source: ANI
India’s push to climb the global technology value chain gathered pace this week as Union Minister for Electronics and Information Technology Ashwini Vaishnaw met senior Nvidia executives to discuss the development of sovereign graphics processing units (GPUs) and the local manufacturing of advanced edge devices. The talks reflect the government’s sharper focus on building critical digital infrastructure at home, at a time when artificial intelligence, high-performance computing and data-intensive applications are becoming central to both economic growth and national security.
A key theme was the push for “sovereign GPUs” - homegrown, domestically controlled computing hardware that would allow India to scale its AI capabilities without being overly dependent on foreign supply chains.
Vaishnaw said the proposed devices, including compact edge systems such as Nvidia’s DGX Spark, could play a transformative role across sectors ranging from transport and healthcare to education and logistics, particularly in areas with limited connectivity.
Add Zee Business as a Preferred Source
What sovereign GPUs mean for India?
In an era where AI models are growing larger and more powerful, access to secure and reliable computing capacity has become as strategic as energy or defence infrastructure. This reduces latency, improves reliability and enhances data security.
Officials said such devices could be deployed across railways for predictive maintenance, ports and shipping for logistics optimisation, hospitals for diagnostics and patient monitoring, and classrooms for AI-enabled learning tools. For critical services, the ability to function offline adds an extra layer of resilience.
Nvidia’s growing engagement with India
Nvidia’s engagement with India has been expanding steadily as the country positions itself as a deep-tech hub. The company has earlier announced collaborations with Indian and US investors to support startups working on semiconductors, artificial intelligence, robotics and space technologies.
This effort is part of the India Deep Tech Alliance, which has secured more than Rs 7,000 crore (over 850 million dollars) in fresh capital commitments. New Delhi has already announced funding of around Rs 1 lakh crore (12 billion dollars) to boost research and development in high-tech sectors, including electronics, AI and semiconductors.
The shift marks a clear departure from India’s traditional services-led technology model towards one that also emphasises hardware, intellectual property and manufacturing.
Startups and the AI ecosystem
Vaishnaw also highlighted the role of Indian startups in shaping the country’s AI future. Ahead of the India AI Impact Summit 2026, Prime Minister Narendra Modi recently chaired a roundtable with 12 domestic startups working on what the government describes as responsible, inclusive and globally relevant AI solutions.
While timelines and investment commitments are still to be spelled out, the message is clear. India is gearing up for a future in which computing power matters as much as physical infrastructure and it wants that capability firmly in its own hands.
- 1
- 2
- 3
- 4
- 5
- 6