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Nvidia B300 servers sell for $1 million in China, nearly double the US price
Prices have surged from roughly 4 million yuan late last year to 7 million yuan ($1 million) today, driven by the Supermicro co-founder's arrest, tighter enforcement, and voracious demand from Chinese AI companies unwilling to hold restricted hardware on their own books. NVIDIA's B300 AI servers
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Nvidia's Forbidden Fruit: China Buyers Pay $1 Million Per Server - NVIDIA (NASDAQ:NVDA)
Nvidia's Forbidden Fruit: Chinese Buyers Shell Out $1M Per B300 Server NVDA stock is moving. See the chart and price action here. Double The U.S. Price Tag The B300 is fetching about 7 million yuan (roughly $1 million) per server in China, the report said, versus around $550,000 in the U.S., where
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Prices of Nvidia's B300 server at $1 million in China on US curbs, sources say
BEIJING, April 30 (Reuters) - Strong demand for AI computing equipment in China has nearly doubled prices for Nvidia's B300 servers to about 7 million yuan ($1 million) each, industry sources said, as a crackdown on chip smuggling dries up black-market supply. Prices of Nvidia's most advanced and
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Nvidia's B300 AI servers are selling for approximately $1 million in China, nearly double their US price of $550,000. The dramatic price surge stems from intensified US export restrictions and a crackdown on grey market chip smuggling following the arrest of Supermicro's co-founder, creating acute scarcity as Chinese AI companies scramble for advanced computing hardware.
Nvidia B300 servers are now fetching approximately 7 million yuan, roughly $1 million per unit, in China, nearly double their US list price of around $550,000, according to industry sources
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. This represents a dramatic escalation from approximately 4 million yuan late last year, reflecting a scarcity premium driven by tighter US export restrictions and the near-collapse of grey market chip smuggling channels that Chinese AI companies had relied upon1
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Source: Benzinga
The B300, packed with 288 GB of high-bandwidth memory and delivering 14 petaFLOPS of computing power at FP4 precision, ranks among the most powerful options available for AI inference workloads
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. Each server houses eight B300 GPUs and is critical for Chinese technology companies scrambling to monetize their AI models and compete on inference efficiency, the cost of generating tokens, the basic unit of AI text output1
.The inflection point in the price surge traces directly to the arrest of Yih-Shyan 'Wally' Liaw, co-founder of Supermicro, on March 19, 2026
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. US federal prosecutors unsealed an indictment alleging that Liaw, Supermicro's Taiwan general manager Ruei-Tsang Chang, and contractor Ting-Wei Sun conspired to divert roughly $2.5 billion in Supermicro servers containing Nvidia's export-controlled Blackwell-class AI chips to Chinese buyers via a Southeast Asian pass-through company1
.The scheme involved swapping serial numbers using heat guns, fabricating paperwork, and using fake replica servers to deceive government auditors
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. Supermicro's shares fell 33% on the day the indictment was unsealed, erasing more than $6 billion in market capitalization1
. This prosecution represents the highest-profile enforcement action yet under the AI chip export control regime the US has been tightening since 2022, and its effect on grey market supply appears to have been immediate1
.Rental prices for B300 servers in China have surged alongside sale prices, with short-term contracts reportedly reaching as high as 190,000 yuan per month on one-year contracts
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. Many Chinese AI companies are deliberately structuring arrangements to avoid holding Nvidia hardware directly on their balance sheets, fearing exposure to US sanctions1
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.The demand surge reflects explosive growth in Chinese AI usage. Chinese AI models accounted for 32% of global token usage in March 2026, up from 5% a year earlier, driven by advances in coding and agentic capabilities, according to Morgan Stanley
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. MiniMax, Zhipu, and Alibaba's Qwen each reported token usage rising as much as six to seven-fold in February and March compared with December3
.The B300 scarcity compounds a separate restriction that hit Chinese AI companies in early 2025. On April 9, 2025, the US government informed Nvidia that it required a license to export its H20 chips, the China-specific GPU Nvidia had designed to comply with earlier export control rules, to the Chinese market
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. Nvidia took a $4.5 billion charge in Q1 FY2026 on excess H20 inventory and purchase obligations, and was unable to ship an additional $2.5 billion of H20 revenue that quarter1
.The H20 had been Chinese companies' primary access point for compliant Nvidia GPU hardware; its restriction eliminated that option
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. Despite receiving approvals from both governments for exports of H200 chips, the hardware has yet to be shipped to China as the two sides remain at odds over the conditions governing its sale3
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Nvidia has publicly distanced itself from the grey market supply chain, stating that the B300 is restricted from sale in China and that partners must comply strictly with export rules
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. "As systems become increasingly large and complex, unlawful diversion is a recipe for failure," Nvidia warned, noting that diverted hardware will not receive company support3
.Source: Market Screener
The current price dynamic unfolds against an escalating policy backdrop. Last week, the US House Foreign Affairs Committee advanced the MATCH Act on April 22 in what lawmakers described as the largest semiconductor export control markup in congressional history
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. The bill would require the Netherlands and Japan to align their own chip equipment restrictions with US rules, cutting off ASML's remaining China sales and banning the servicing of already-installed machines1
.Even with export restrictions, Nvidia still holds about 55% of China's AI chip market, a notable share given its top products technically aren't supposed to be sold there
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. Advanced Micro Devices sits at just 4%, while Huawei Technologies and other domestic chipmakers are angling to use the disruption to chip away at Nvidia's lead2
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.The combined effect of H20 chips being restricted, the B300 grey market being disrupted, and domestic Chinese AI accelerators not yet competitive with Nvidia's highest-end systems for frontier model training has produced the scarcity premium now reflected in advanced AI hardware pricing
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. As AI compute scarcity intensifies and supply chains face mounting pressure from geopolitical tensions, Chinese tech companies face difficult choices between paying extreme premiums, accepting inferior domestic alternatives, or restructuring operations to work within tightening constraints.Summarized by
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