Published • loading... • Updated
PLA-linked Chinese university bought Nvidia H200 chips despite US blacklist: Reuters
Procurement records show the university paid 874,700 yuan for two H200 chips, underscoring gaps in U.S. export controls on advanced AI hardware.
- Northwestern Polytechnical University, a member of China's "Seven Sons of National Defense" group, purchased two Nvidia H200 chips for 874,700 yuan in October despite being on a U.S. export blacklist.
- The U.S. Commerce Department added Northwestern Polytechnical to its Entity List in 2001; the university bypassed direct channels by acquiring the chips from Shaanxi Bosuan Network Technology, a domestic supplier.
- Beihang University bought four A800 processors for 489,000 yuan in April, while Shenzhen University acquired three H100 processors for 769,800 yuan in September, illustrating widespread procurement across Chinese institutions.
- Congressional leaders requested a briefing with Nvidia CEO Jensen Huang on November 18 over his lobbying efforts and alleged intelligence contacts amid the Trump administration's case-by-case export policy.
- Despite Beijing withholding approval for large-scale imports, the H200 continues reaching China through indirect routes, providing essential capacity for training advanced AI systems according to recent reports.
Insights by Ground AI
14 Articles
14 Articles
In October, the North-West Polytechnic University in China, linked to the Army and on American blacklist, acquired Nvidia chips for AI, revealing flaws in American restrictions.
Chinese university with links to its military bought Nvidia H200 AI chips despite US blacklist
Procurement records show the PLA-linked university bought for $123,000 two H200 chips which are among Nvidia’s most capable chips for training and running advanced AI system.
·New Delhi, India
Read Full Article
Coverage Details
Total News Sources14
Leaning Left2Leaning Right4Center6Last UpdatedBias Distribution50% Center
Bias Distribution
- 50% of the sources are Center
50% Center
L 17%
C 50%
R 33%
Factuality
To view factuality data please Upgrade to Premium
