Moore Threads, Hygon project triple-digit H1 growth as China's AI chip demand surges
Synopsis
Key Takeaways
Chinese GPU maker Moore Threads Technology and CPU-and-accelerator designer Hygon Information Technology have each forecast massive revenue growth for the first half of 2026, signalling that domestic demand for AI computing infrastructure in China is accelerating sharply even as access to leading foreign chips remains constrained.
The Numbers
Moore Threads, headquartered in Beijing, stated in a stock exchange filing on Thursday, 17 July 2026, that it expected first-half revenue to rise between 135.1 per cent and 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 projected a comparatively steadier — though still substantial — first-half revenue increase of 55.6 per cent to 70.2 per cent, with sales expected to land between 8.5 billion yuan and 9.3 billion yuan.
What Is Driving the Surge
Moore Threads attributed the outsized growth 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 its flagship chip, the MTT S5000, had achieved market-leading performance, is now in mass production, and — according to the company — delivers computing efficiency that matches top international alternatives. Hygon, meanwhile, designs both central processing units (CPUs) and deep computing units, a category of accelerator card built specifically for AI workloads, giving it exposure across multiple segments of the data-centre stack.
Why It Matters
The forecasts arrive against a backdrop of sustained US export controls that have restricted Chinese cloud providers and AI labs from procuring high-end chips from Nvidia, effectively creating a captive market for domestic alternatives. Both companies are widely regarded as part of Beijing's strategic push to build a self-sufficient semiconductor supply chain. Moore Threads went public in December on Shanghai's Star Market — officially the Sci-Tech Innovation Board — a listing venue designed specifically for high-tech firms.
The Competitive Backdrop
The two companies are not alone in racing to fill the gap left by restricted Nvidia and AMD hardware. Huawei Technologies' Ascend AI chips and Cambricon Technologies' inference accelerators are also competing for the same surge in domestic AI infrastructure spending. Industry analysts have noted that Chinese hyperscalers and state-backed enterprises are under pressure to demonstrate AI capability, creating urgent procurement cycles that benefit any credible domestic supplier regardless of absolute performance parity with global leaders.
What's Next
Full first-half results from both companies will provide a clearer picture of whether the forecast ranges are met — and whether margins hold as competition among domestic chip designers intensifies. Investors and policymakers in Washington and Beijing alike will be watching to gauge how quickly China's homegrown chip ecosystem can scale to meet enterprise-grade AI demand.