India Seeks NVIDIA Tie-Up to Manufacture High-End AI GPUs Locally

After the success of Apple’s local manufacturing drive, the Centre has turned its attention to building a domestic high-end GPU and AI hardware ecosystem, with Union Minister for Electronics and IT Ashwini Vaishnaw holding high-level discussions with NVIDIA executives to advance India’s ambitions for locally made graphics processors.

Vaishnaw met Vishal Dhupar, NVIDIA’s Managing Director for South Asia, and senior officials to explore opportunities for manufacturing advanced edge AI devices in India and reducing reliance on imported semiconductor technology.

In a post on X, the minister wrote: “Discussed development of sovereign GPUs and manufacturing of edge devices like DGX Spark in Bharat. This device delivers up to 1 petaFLOP performance with secure inferencing for models up to 200 billion parameters. This compact GPU doesn’t require the Internet. Suitable for railways, shipping, healthcare, education and remote applications.”

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The centerpiece of the talks was NVIDIA’s DGX Spark, a compact AI supercomputer unveiled at CES 2026. Built for edge computing, the system supports offline AI inference, delivers up to one petaFLOP of performance, and can run large language models with up to 200 billion parameters, making it ideal for remote or sensitive environments.

Manufacturing such devices in India aligns with the Atmanirbhar Bharat mission and the country’s push to develop sovereign GPU designs within three to four years, potentially using open-source or licensed technologies. This effort is being reinforced by the India AI Mission, which has rolled out 38,000 subsidised GPUs at Rs 65 per hour and selected 12 startups to build indigenous AI models.

While no formal agreement has been announced, industry watchers see collaboration with NVIDIA, which controls over 80% of the global GPU market, as a catalyst for India’s entry into advanced semiconductor manufacturing.