South Korea has officially started distributing 10,000 Nvidia GPUs to universities, research institutes, and AI projects, marking the first step in a broader plan to supply 260,000 units through 2030. The initial shipment of 4,336 units includes Nvidia’s H200 and B200 chips, with further deliveries expected in the coming years.
The initiative, announced last October, is designed to bolster AI research capabilities across the country, with academic and public institutions receiving the GPUs free of charge. Startups and small-to-medium enterprises will pay a nominal 5–10% of market price, a discount aimed at encouraging innovation without creating financial barriers.
This GPU rollout represents a major collaboration between the South Korean government and industry players. Estimates from The Chosun Daily suggest the program could cost between 14.8 trillion won, equivalent to roughly $7.8 billion to $10.4 billion, based on current GPU market prices.
NVIDIA Corporation, NVDA
Under the plan, about 52,000 GPUs are reserved for government use, while Samsung, SK Group, and Hyundai Motor Group are allocated 50,000 units each. Naver Cloud will receive 60,000 GPUs to support cloud-based AI applications. The initiative is part of a broader push to increase South Korea’s total use of Nvidia AI chips from approximately 65,000 units to more than 300,000.
Despite the ambitious deployment, Nvidia stock (NVDA) has experienced a marginal decline, reflecting a combination of market factors, including broader tech sector trends and global supply chain concerns. Analysts note that while the GPU deployment underscores long-term growth potential for Nvidia’s AI business, short-term investor sentiment has been tempered by the scale of the public-private program and uncertainties in international trade, particularly regarding China.
The GPU rollout is also part of Nvidia’s global strategy to support sovereign AI initiatives, which the company projects could contribute more than $20 billion in revenue in fiscal 2026. The South Korean project exemplifies how government-led AI infrastructure programs can expand chip adoption while simultaneously raising questions about dependency on a single supplier.
South Korea’s push for AI sovereignty goes beyond simply importing hardware. Officials are actively promoting domestically developed neural processing units (NPUs) to reduce long-term reliance on Nvidia technology. Local startup Rebellions, in collaboration with Wert Intelligence, is building on-premises AI infrastructure for patent analytics using its ATOM-Max NPU, reflecting a growing emphasis on homegrown innovation.
Additionally, some GPUs are being allocated to national AI projects, including the country’s sovereign AI foundation model, ensuring that key research initiatives have the computing power needed to compete internationally. The government also plans to deploy an additional 15,000 GPUs by 2028 via the National AI Computing Center, reinforcing its commitment to establishing South Korea as a global AI hub.
South Korea’s massive GPU rollout demonstrates a strategic blend of public and private investment in AI, designed to accelerate research, strengthen sovereign AI capabilities, and foster domestic innovation.
While Nvidia stock has shown a slight dip amid the program’s launch, the initiative highlights the long-term potential for AI growth and the role of global chipmakers in supporting national technology ambitions.
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