Chinese chipmakers Moore Threads Technology and Hygon Information Technology, positioning themselves as local alternatives to Nvidia, have projected substantial revenue growth for the first half of 2026 driven by surging domestic demand for AI computing infrastructure.

  • Moore Threads forecasts 135-149% revenue growth in H1 2026
  • Hygon projects 55.6-70.2% revenue increase amid AI adoption
  • Domestic chipmakers filling Nvidia hardware gap under export controls

What happened

Chinese AI chip designers Moore Threads Technology and Hygon Information Technology have announced ambitious revenue growth projections for the first half of 2026, reflecting increased domestic demand for AI processing capabilities. Moore Threads, which focuses on GPUs, expects its revenue to more than double year-on-year, reaching between 1.65 billion yuan and 1.75 billion yuan (approximately US$243.5 million). Its flagship GPU, the MTT S5000, has entered mass production and is claimed to offer competitive performance against international alternatives. Meanwhile, Hygon, which produces CPUs and AI-specific accelerator cards known as deep computing units, anticipates revenue growth between 55.6% and 70.2%, targeting up to 9.3 billion yuan in turnover.

Both companies attribute their robust outlooks to the rapid commercialization of AI technologies within China, accelerated development of large AI models, and a rising need for localized AI infrastructure. The surge comes amid broader geopolitical constraints, such as US export controls limiting sales of advanced Nvidia hardware to the Chinese market. As a result, domestic cloud service providers and AI data centers are increasingly turning to home-grown chipmakers to meet their computing power requirements. This environment also benefits other emerging Chinese players like Biren Technology, MetaX Integrated Circuits, Iluvatar CoreX, and Enflame Technology.

Why it matters

The strong growth outlook of Moore Threads and Hygon signals a critical shift in the global AI hardware landscape, highlighting China’s push to develop self-reliant AI chip supply chains amid ongoing trade and technology restrictions. With Nvidia’s access to the Chinese market curtailed by US export bans on top-end GPU models, indigenous alternatives are gaining strategic and commercial importance. This development supports Beijing's broader ambitions to establish leadership in artificial intelligence by promoting domestic innovation and reducing reliance on foreign technologies.

For AI industry players and investors, these projections underline the expanding scale and commercialization of AI infrastructure within China—the world's second-largest technology market. They also spotlight the opportunity for local manufacturers to capture a significant share of the growing demand for GPUs, CPUs, and AI accelerators used in cloud services, data centers, and AI research. Analysts view Hygon particularly as a beneficiary of the CPU renaissance driven by AI workloads, positioning the company as a key player in China’s evolving semiconductor ecosystem.

What to watch next

Market watchers should monitor the actual revenue results from Moore Threads and Hygon in the upcoming earnings reports to validate these optimistic projections. The performance and adoption of Moore Threads’ MTT S5000 GPU in commercial AI clusters will be a critical benchmark for assessing the company’s technological competitiveness. Similarly, Hygon’s ability to expand sales of its high-end processors amid increasing AI deployments will indicate the strength of Chinese AI hardware localization efforts.

Additionally, investors and industry observers will be watching stock price movements in domestic AI chip firms as well as shifts in supply chain dynamics resulting from ongoing global export controls. The interplay between geopolitical factors and technological innovation in China’s semiconductor sector will continue to shape the competitive landscape, with potential ripple effects across AI computing markets worldwide.

Source assisted: This briefing began from a discovered source item from SCMP China Tech. Open the original source.
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