Union Minister Ashwini Vaishnaw is engaging in high-level discussions with NVIDIA executives to advance India’s ambitions for locally made high-end graphics processing units (GPUs) and domestic production of cutting-edge AI hardware. The talks focus on manufacturing advanced edge AI devices in India, hinting at a major push toward reducing dependency on imported semiconductor technology.
Vaishnaw met with Vishal Dhupar, NVIDIA’s Managing Director for South Asia, and other senior officials to explore collaborative opportunities in GPU development and localised production.
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.”
The discussion centered on NVIDIA’s newly announced DGX Spark, a compact AI supercomputer unveiled at CES 2026. Built for edge computing, it delivers secure, offline AI inference, making it well suited for sensitive or remote settings with limited internet access.
Manufacturing such devices locally would align with India’s Atmanirbhar Bharat initiative and bolster national AI infrastructure. The discussions build on India’s long-term goal of developing homegrown high-performance GPUs. Vaishnaw has previously stated that the country aims to create sovereign GPU designs within 3-4 years, potentially leveraging open-source architectures or licensed technologies rather than building from the ground up.
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