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Nvidia H200 in China: Beijing Finally Opens Doors for American Silicon

Пока США и Китай играют в санкционные кошки-мышки, бизнес берет свое. Пекин официально разрешил ввоз первой крупной партии Nvidia H200 — тех самых ускорителей н

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Nvidia H200 in China: Beijing Finally Opens Doors for American Silicon
Source: 3DNews AI. Collage: Hamidun News.
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The world has become accustomed to the technological war between Washington and Beijing, where barriers are built by the American side. However, this time the situation has been turned upside down. American regulators approved the export of specific versions of Nvidia H200 chips last year, but it was the Chinese customs that held the cargo at the border. And now, the dam has broken. Beijing has allowed the import of the first batch, which is counted in hundreds of thousands of units. This is not just a replenishment of supplies, but a large-scale rearmament of Chinese data centers happening at the most critical moment for the industry.

To understand the scale of the event, one must recall what H200 is. It's not just another update in the Hopper lineup. The main feature of this accelerator is the incredibly fast HBM3e memory with a capacity of 141 GB. For training large language models (LLM), memory bandwidth is often more important than the "raw" computational power of the chip itself. Without such chips, Chinese companies like Alibaba, Tencent, and Baidu risked hopelessly falling behind OpenAI and Anthropic. Apparently, the realization of this fact outweighed Beijing's desire to force import substitution at any cost.

The history of Nvidia's relationship with the Chinese market over the past two years resembles a spy thriller. Jensen Huang and his team masterfully balance on the edge of sanctions, releasing truncated versions of chips—first the A800 and H800, then the H20 series. Every time the US tightened the screws, Nvidia found a loophole. The fact that H200 has made its way to China suggests that the company's lawyers managed to prove that these chips do not violate the established limits on performance per square millimeter, despite their enormous power for inference and training tasks.

Why did China delay permission to import? The answer lies in an attempt to support its own manufacturers, such as Huawei with their Ascend line. Internal propaganda actively promoted the idea that Chinese chips had almost caught up with Western counterparts. However, the harsh reality of software development dictates its own rules. Nvidia's CUDA ecosystem is what almost all modern AI is written on. Switching to Chinese alternatives requires colossal expenditures on rewriting code and adapting libraries. By permitting the import of hundreds of thousands of H200s, the Chinese government essentially admitted that national security is important, but technological lag in the field of AI is an even greater threat.

The figure of "several hundred thousand" units looks impressive even by global standards. If the average price of such an accelerator oscillates around $30,000–40,000, we're talking about a deal worth billions of dollars. This is a powerful injection into the infrastructure of Chinese cloud giants. These capabilities will allow training next-generation models that can compete with the coming GPT-5. Beijing apparently decided to take advantage of a "window of opportunity" while the political situation in the US allows such supplies.

Nevertheless, this victory for Nvidia may turn out to be temporary. In Washington, officials carefully monitor every chip crossing the border into the PRC. As soon as American regulators see that H200 gives China too much of an advantage, a new package of restrictions will follow. For Nvidia, China remains a "cash cow" that the company will defend to the last, but geopolitical risks have not disappeared. We are now witnessing a lull before the next storm, where each side is trying to accumulate as much computational power as possible before the rules of the game change again.

The main point: China has chosen technological power over immediate import substitution, understanding that without Nvidia, its AI ambitions risk turning into a pumpkin. The key question for the next two years is: will Huawei have time to perfect its software to the level of CUDA?

ZK
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