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600,000 NVIDIA H200 chips sit in Hong Kong as China delays bulk imports

Beijing is currently blocking large shipments of high-end AI hardware, creating a supply bottleneck and driving up prices for Chinese tech firms.

600,000NVIDIA H200 chips waiting in Hong Kong

The short version

Why it matters

This situation highlights the friction between global tech supply chains and national security policies. For businesses, it means higher costs and slower development cycles for AI models in the Chinese market.

A bottleneck in Hong Kong

A massive shipment of NVIDIA H200 AI chips is currently stalled in Hong Kong, awaiting permission to enter mainland China. According to reports from Analytics Insight, approximately 600,000 of these high-performance chips are sitting in storage. While the chips are ready to move, Chinese authorities have not yet cleared the path for large-scale imports.

This delay comes at a time when Chinese technology companies are eager to acquire more hardware to power their artificial intelligence initiatives. The H200 is a powerful chip that allows firms to train large AI models effectively. Because NVIDIA's software ecosystem is well-established, these chips remain a preferred choice for many developers despite the current logistical hurdles.

The situation reflects a complex regulatory environment where trade permissions are being handled on a case-by-case basis. While the bulk shipment remains stationary, some smaller quantities have managed to move across the border recently. These smaller lots have allowed some companies to continue their work, but they do not represent the scale required for major infrastructure expansion.

The limits of small shipments

Over the past several months, China has permitted small amounts of the H200 chips to enter the country. Reports indicate that several major internet firms received batches of about 10,000 chips each. Additionally, some smaller lots have moved through various middlemen to reach their final destinations.

Despite these smaller successes, the primary hurdle remains the lack of approval for bulk imports. The Chinese industry ministry and planning body have not provided official comments on why these large shipments are being held back. This creates a fragmented supply chain where only a few companies can access the hardware they need to stay competitive.

The H200 is not the newest chip in NVIDIA's lineup, but it still holds a significant advantage over domestic alternatives. Currently, Chinese-made chips are not yet capable of matching the performance of the H200. This performance gap makes the demand for the American-made hardware even more acute for the domestic tech sector.

Rising costs and market shifts

The scarcity of approved chips has led to a significant price spike on the unofficial market. By late October, an eight-card H200 server was reported to cost more than 6 million yuan, which is roughly USD 900,000. This price point represents nearly three times what the same server cost just one year ago.

For companies looking for even more power, the newer Blackwell chips from NVIDIA are even more expensive, costing more than 20 million yuan. These high costs create a significant barrier for many firms trying to scale their AI capabilities. The price jump illustrates how quickly demand can outpace supply when regulatory barriers are in place.

To navigate these costs and restrictions, some major players are looking toward different hardware options. For example, ByteDance, Alibaba, and Tencent have ordered over three million NVIDIA RTX Pro 5500 graphics cards. These cards are weaker than the H200 but are permitted under current US export rules, making them a more accessible alternative for certain tasks.

Geopolitical tug-of-war

Beijing appears to be navigating a difficult balance between two competing national goals. On one hand, the country needs massive amounts of computing power to advance its AI capabilities. On the other hand, officials want to reduce the nation's dependence on foreign technology and promote domestic hardware.

There are reports that officials want tech firms to prioritize Chinese-made chips for inference, which is the process of running AI models that have already been trained. This strategy aims to build a self-sufficient ecosystem over time. However, the immediate need for high-performance training hardware keeps the demand for NVIDIA chips high.

The current situation in Hong Kong serves as a visible indicator of the uncertainty surrounding NVIDIA's future in China. Both the United States and China are pursuing technological leadership, and each is using trade policy to achieve its goals. Until Beijing decides how to handle the bulk imports, the 600,000 chips will remain in limbo.

What to watch

Try it

Check the current price of an H200 server in your region to see how much the 'unofficial' market markup has affected local hardware costs.

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First reported by Analytics Insight · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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