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Chinese Nvidia alternatives project massive sales as AI chip demand surges

Chinese chip designers Moore Threads and Hygon project massive revenue growth in the first half of 2025, driven by surging domestic demand for AI computing power as they fill the void left by US export controls on Nvidia. Moore Threads expects revenue to jump 135-149% to up to 1.75 billion yuan, while Hygon forecasts 55-70% growth to as much as 9.3 billion yuan.

read1 min views1 publishedJul 17, 2026
Chinese Nvidia alternatives project massive sales as AI chip demand surges
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Moore Threads and Hygon are capitalising on surging demand for AI computing power as they race to fill the void left by Washington’s export controls

Chinese chip designers Moore Threads Technology and Hygon Information Technology – both positioning themselves as home-grown alternatives to Nvidia – have projected double- to triple-digit revenue growth for the first half of the year, fuelled by surging domestic demand for AI computing power.

Moore Threads, a graphics processing unit (GPU) developer, stated in a stock exchange filing on Thursday that it expected revenue for the period to jump 135.1 per cent to 149.4 per cent year on year, reaching between 1.65 billion yuan (US$243.5 million) and 1.75 billion yuan.

Hygon Information Technology, which designs central processing units (CPUs) and deep computing units – a type of accelerator card designed specifically for AI – projected first-half revenue growth of 55.6 per cent to 70.2 per cent, reaching between 8.5 billion yuan and 9.3 billion yuan.

The forecasts underscore strong domestic appetite for computing infrastructure amid a global race for dominance in artificial intelligence.

Shanghai’s Star Market, officially known as the Sci-Tech Innovation Board, attributed the revenue surge to robust demand for its full-function GPUs and the rapid commercial roll-out of its Kua’e AI computing clusters.

The company also said that its flagship GPU, MTT S5000, had achieved market-leading performance. Moore Threads stated the chip was now in mass production and asserted that its computing efficiency matched top international alternatives.

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