Observed Signal · Jun 5, 2026 · Technical Release · Source: Prof G Media · Impact: 4/5 · Sentiment: Neutral
Huawei's He Tingbo Unveils 'Tao' Scaling Law vs Nvidia
Huawei's chip lead architect He Tingbo announced the 'Tao scaling law', a new semiconductor performance framework that emphasizes data movement, chip arrangement, wiring architecture, and memory systems rather than further transistor miniaturization. The article reports Nvidia CEO Jensen Huang has effectively conceded China’s AI chip market to Huawei, which holds roughly 50% of that market in 2026. Morgan Stanley projects China’s AI chip market to grow from about $21 billion in 2026 to $67 billion by 2030. Analysts note a persistent compute gap—U.S. AI chips remain several times more powerful—and estimate Huawei could supply only a small fraction of Nvidia’s aggregate AI compute capacity in optimistic scenarios. The piece also covers related geopolitical and economic trends: EU pressure on Chinese imports, rising Chinese FDI into Europe, and Boston Consulting Group data showing Hong Kong overtook Switzerland as the top offshore wealth hub by cross-border assets under management.
The announcement outlines an alternative to Moore's Law and signals Huawei-scale approaches to AI compute in China; combined with reported market share and growth projections, this could materially affect global AI infrastructure supply, competition with Nvidia, and geopolitical trade dynamics.
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Key Takeaways & Evidence Grounding
- Nvidia CEO Jensen Huang has publicly conceded China’s AI chip market to Huawei.
- Huawei holds around 50% of China’s AI chip market in 2026 (article claim).
- Morgan Stanley projects China’s AI chip market to grow from $21 billion in 2026 to $67 billion by 2030.
- He Tingbo, who has led Huawei’s internal chip unit since 2003 on an annual budget of roughly $400 million, announced the 'Tao scaling law' focusing on data movement, chip arrangement, wiring architecture, and memory systems.
- The Council on Foreign Relations estimates the best U.S. AI chips remain about five times more powerful than Huawei’s current chips; optimistic estimates suggest Huawei could supply roughly 4% of the aggregate AI compute that Nvidia produces.
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Nvidia Largely Concedes China AI Chip Market to Huawei
Nvidia CEO Jensen Huang said the company has "largely conceded" China’s AI chip market to Huawei amid U.S. export restrictions that have limited Nvidia’s ability to sell advanced chips into China. Huang made the remarks while reporting a strong quarter — revenue rose 85% to $81.62 billion — and after Nvidia announced an $80 billion share buyback and a dividend increase. He told CNBC investors should "expect nothing" regarding near-term approvals to export advanced chips, but said Nvidia would welcome returning to the market if restrictions ease. The report notes some limited approvals for Nvidia H200 chips to select Chinese firms, while broader export-control and policy discussions between the U.S. and China have not yet produced a wider easing of restrictions.
Huawei Unveils Ascend 960 Chips, Claims System-Level Parity with Nvidia
At Huawei Connect in Shanghai, Huawei unveiled its next-generation AI accelerators—the Ascend 960DT and 960PR—scheduled for Q1 and Q3 2027, respectively, about three quarters earlier than planned. Designed for training and inference of advanced open-weight models, these chips power the Atlas 960E SuperPoD, a system connecting 4,096 processors with 8 EFLOPS FP8 and up to 1 PB of high-speed memory. Huawei emphasizes system-level integration and open-source ecosystems, with over 40 models pre-trained on Ascend, including GLM-5. However, per-chip performance still trails Nvidia's Rubin generation, though system-level parity is closer. DeepSeek has ordered at least 160,000 Ascend 950DT chips for inference but still trains on Nvidia hardware. Huawei's in-house HBM development addresses US export restrictions, and the company projects a 100,000-fold increase in AI token processing by 2035.
China Ramps Up Domestic AI Chips as Nvidia Return Unclear
Chinese technology firms are accelerating deployment of domestically developed AI chips even as reports circulate that U.S. sanctions may be eased to allow some Nvidia H200 GPU shipments to select Chinese firms. Tencent said China-designed GPUs and other chips will show a “substantial increase” in availability this year and signalled higher capital expenditure, while Alibaba said its T-Head proprietary GPU chips have reached scaled mass production and are being used in its data centers. Local players including Moore Threads, MetaX and Huawei are expanding offerings after Nvidia was previously blocked from the market. Reuters reported U.S. approval for some H200 sales to about 10 Chinese firms, but no H200s have shipped and U.S. Treasury Secretary Scott Bessent indicated uncertainty about that report. Analysts say China may adopt a hybrid mix of domestic and U.S. chips for AI training and inference.
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