India is exploring local manufacturing of NVIDIA DGX Spark after Union IT minister Ashwini Vaishnaw met executives from NVIDIA to discuss production possibilities, a move that could expand access to compact AI systems across critical sectors.
What changed with NVIDIA DGX Spark
NVIDIA DGX Spark has emerged as a focus point in recent discussions between India and the US chipmaker. The compact AI system integrates GPUs, CPUs, networking, CUDA libraries, and supporting software into a single platform.
NVIDIA designed the system to handle diverse AI workloads. It supports both inference and model tuning on-device. The company began shipping the unit in October at a listed price of $3,999.
NVIDIA describes DGX Spark as the world’s smallest AI supercomputer.
World’s smallest AI supercomputer and its capabilities
NVIDIA DGX Spark delivers up to one petaflop of AI performance. It includes 128 GB of unified memory. The system runs on the GB10 Blackwell Superchip.
According to NVIDIA, the platform can run inference on models with up to 200 billion parameters. It can also fine-tune models with up to 70 billion parameters. These specifications position the system for advanced AI workloads in constrained environments.
Ashwini Vaishnaw highlighted its on-device processing capability in a social media post. He pointed to applications across railways, shipping, healthcare, education, and remote deployments.
Broader india NVIDIA engagement
The manufacturing discussions follow a series of engagements between India and NVIDIA. In November, NVIDIA joined the India Deep Tech Alliance as a founding member and strategic technical advisor.
The alliance brings together Indian and US investors focused on AI, semiconductors, space, and robotics. It has secured more than $850 million in capital commitments. NVIDIA contributes technical guidance, training, and ecosystem support to startups.
NVIDIA already operates engineering and development centres in Hyderabad, Pune, Gurugram, and Bengaluru. These teams work on software development, AI tools, and hardware support.
Further discussions on NVIDIA DGX Spark
The DGX Spark talks point to deeper collaboration on AI infrastructure between India and NVIDIA. Local manufacturing could support India’s effort to strengthen domestic AI hardware capabilities and reduce reliance on imports. It may also improve access to compact computing systems for public sector and enterprise deployments.
Manufacturing in India could help scale on-device AI use across sectors such as transport, healthcare, education, and remote operations. It would also align with broader policy efforts to expand semiconductor and electronics production within the country.
The discussions build on an existing relationship between India and NVIDIA, including cooperation in AI research, talent development, and startup support.
