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.
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