India Eyes Manufacturing NVIDIA's DGX Spark AI Supercomputer and Sovereign GPUs Locally

India Eyes Manufacturing 'World's Smallest AI Supercomputer' by NVIDIA | AIM

IT minister Ashwini Vaishnaw said NVIDIA's DGX Spark would be suited for railways, shipping, healthcare, and education. India's minister of electronics and information technology, Ashwini Vaishnaw, met with officials from NVIDIA to discuss manufacturing the global chip giant's DGX Spark in India. DGX Spark is a compact system designed to handle a wide range of artificial intelligence workloads. It integrates NVIDIA's full AI stack, including GPUs, CPUs, networking, CUDA libraries, and supporting software. NVIDIA noted that the DGX Spark delivers up to one petaflop of AI performance and is equipped with 128 GB of unified memory. Powered by the GB10 Blackwell Superchip, the system can run inference on AI models with up to 200 billion parameters and fine-tune models with up to 70 billion parameters. The company announced in October that it would begin shipping the DGX Spark, which it describes as the 'world's smallest AI supercomputer'. The system is priced at $3,999. In a social media post, the minister highlighted its on-device AI processing capabilities, which he believes are suitable for use cases across railways, shipping, healthcare, education, and remote applications. While the minister did not disclose further details from the meeting, the discussions signal another step in the deepening relationship between India and NVIDIA. In November, NVIDIA became a founding member and strategic technical advisor to the India Deep Tech Alliance, a consortium of Indian and US investors focused on supporting startups in AI, semiconductors, space, and robotics. The alliance has secured over $850 million in capital commitments to close funding gaps and accelerate innovation. NVIDIA's role includes providing technical guidance, training, and broader ecosystem support to emerging deep tech companies. NVIDIA currently operates multiple engineering and development centres in India, including in Hyderabad, Pune, Gurugram, and Bengaluru, with teams focused on software development, AI tools, and hardware support.

Union Minister Ashwini Vaishnaw discusses manufacturing of sovereign, high-end GPUs in India with Nvidia officials - The Economic Times

Union Minister Ashwini Vaishnaw, in a meeting with senior Nvidia officials on Thursday, discussed the development of the sovereign graphics processing unit and the manufacturing of high-end data processing devices in India. Nvidia dominates the graphics processing unit (GPU) market globally with over 80% share. Its GPUs have been in high demand across the globe to support the development of artificial intelligence technologies. "Met NVIDIA team and 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," Vaishnaw said on social media platform X. The minister also shared a photograph of his meeting with Nvidia's managing director for South Asia, Vishal Dhupar, on X. Earlier this week, Nvidia at the CES trade show unveiled how the DGX Spark and DGX Station deskside AI supercomputers let developers harness the latest open and frontier AI models on a local deskside system, from 100-billion-parameter models on DGX Spark to 1-trillion-parameter models on DGX Station. Vaishnaw had said in the first half of 2025 that India would develop its own Graphics Processing Unit (GPU) within the next 3 to 4 years. The government is actively supporting the procurement of GPUs and subsidising their availability for developers of AI technology in the country. From an initial target of 10,000 GPUs, India has deployed 38,000 GPUs under the India AI Mission. The government has made all GPUs available at a subsidised rate of Rs 65 per hour. The government has selected twelve startups for the development of native AI engines. These are Sarvam AI, Soket AI, Gnani AI, Gan AI, Avaatar AI, IIT Bombay consortium - BharatGen, Zenteiq, Gen Loop, Intellihealth, Shodh AI, Fractal Analytics, Tech Mahindra Maker's Lab.