Three Supermicro employees charged in $2.5bn chip smuggling scheme

Three Supermicro employees face charges of conspiracy to smuggle restricted Nvidia H100, H200 and B200 chips to China. The alleged $2.5 billion scheme used dummy boxes, fake labels and a pass-through company. TechRadar describes it as the biggest heist of the US-China chip war.

Three men, identified as Supermicro employees, have been charged with conspiracy to smuggle restricted Nvidia H100, H200 and B200 GPUs to China, according to a TechRadar report published on March 20, 2026. The scheme is estimated at $2.5 billion and reportedly relied on dummy boxes, fake labels and a pass-through company to bypass restrictions. This case is framed within the ongoing US-China chip war, with restrictions on advanced semiconductor exports to China aimed at limiting technological advancements there. No further details on the individuals, exact charges or court proceedings were provided in the source. The report highlights the methods used to enable the smuggling operation.

ተያያዥ ጽሁፎች

Super Micro Computer's stock fell more than 30% after US authorities charged employees, including a co-founder, with smuggling AI chips to China. The Department of Justice findings support the company's compliance and internal controls, with no charges against Super Micro itself. The incident involved an estimated $2.5 billion in smuggled sales, about 10% of the firm's FY25 revenue.

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On Wednesday, United States authorities charged Chinese nationals and companies in two separate cases with offenses including conspiring to smuggle advanced AI chips to China and drug trafficking with money laundering. One case involves smuggling American-made AI chips via Thailand, the other an alleged fentanyl supply chain.

China's GPU leaders Cambricon and MetaX reported strong first-quarter results driven by demand for local AI chips. Cambricon's revenue jumped 160 per cent year-on-year to 2.89 billion yuan (US$423 million), with profit soaring 185 per cent to 1 billion yuan. The Beijing-based firm attributed the growth to a 'sustained surge in the AI industry’s computing power demand'.

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