Key Takeaways
- Huawei claims it can achieve performance equivalent to 1.4-nanometer chips by 2031 without access to ASML lithography equipment
- The technology relies on what Huawei calls the “Tau Scaling Law,” emphasizing data transmission speed and vertical circuit integration
- The “LogicFolding” chip design will first appear in upcoming Kirin smartphone processors launching this autumn
- Over six years, Huawei reports producing 381 different chip designs using this methodology
- Jensen Huang, Nvidia’s CEO, acknowledges Huawei as a formidable rival and admits Nvidia has essentially surrendered the Chinese AI chip sector
Huawei has declared it developed an innovative pathway to producing high-performance semiconductors — circumventing the advanced machinery it cannot obtain.
During a Shanghai technology conference on Monday, the Chinese telecommunications powerhouse revealed plans to engineer chips by 2031 with transistor density comparable to 1.4-nanometer manufacturing processes. This represents the cutting edge of semiconductor advancement, currently pursued by Intel, TSMC, and Samsung Electronics.
The distinction? These industry leaders depend on specialized lithography systems manufactured by Netherlands-based ASML to achieve such capabilities. U.S. export controls have prevented Huawei from obtaining this critical equipment.
At the 2026 IEEE International Symposium on Circuits and Systems, He Tingbo, who leads Huawei’s semiconductor division, introduced the company’s “Tau Scaling Law.” This framework prioritizes enhancing chip performance by minimizing data transmission delays within semiconductors, rather than solely pursuing transistor miniaturization.
“This solution we’ve developed is both technically viable and economically practical,” He stated during the presentation.
Understanding LogicFolding Technology
Huawei’s innovative design methodology, termed “LogicFolding,” involves vertically integrating multiple circuit layers inside individual chips. According to the company, this configuration reduces internal connection distances and boosts overall performance. The forthcoming Kirin smartphone processors, scheduled for release this autumn, will debut this architectural approach.
Huawei reports having successfully manufactured 381 different chip variants using comparable methods throughout the previous six years, deploying them in mobile devices and artificial intelligence platforms.
The company has not released third-party verified performance metrics to substantiate these assertions.
Implications for Nvidia’s Position
Huawei’s technological advancement increases competitive challenges for Nvidia within the Chinese market. Earlier this month, Nvidia CEO Jensen Huang revealed that the company’s China market share plummeted from approximately 95% to almost nothing following successive waves of U.S. export restrictions.
In comments to CNBC, Huang acknowledged the company has “largely conceded” the Chinese AI chip marketplace to Huawei, describing it as a “very strong competitor.”
While Nvidia obtained U.S. government authorization to market its H200 AI processors in China, Chinese authorities haven’t granted regulatory approval for these transactions. Huang expressed continued interest in competing there: “It would be terrific to serve that market,” he noted.
George Chen from The Asia Group suggested that Nvidia’s opportunity to distribute advanced AI semiconductors in China continues shrinking as Huawei strengthens its domestic position.
Nvidia shares maintain a Strong Buy consensus rating among Wall Street analysts, supported by 39 Buy recommendations, one Hold, and one Sell rating issued during the last three months. The consensus price target stands at $302.61, suggesting approximately 40% potential appreciation from present trading levels.
Obstacles Remain
Industry observers note that while Huawei’s methodology shows potential, it lacks validation at commercial scale. The vertical circuit integration technique presents challenges including thermal management issues and demands sophisticated software for coordinating multiple chip layers.
According to sources knowledgeable about the development timeline, Huawei only achieved consistent performance with this technology within the past year. The organization must still collaborate with data center operators and hardware manufacturers to validate functionality in large-scale deployments.
Lian Jye Su, an analyst with Omdia, commented: “Whether Huawei will gain a distinct advantage here remains to be seen, but it’s at least an alternative path forward.”
Should Huawei successfully meet its 2031 objective, it could fundamentally alter expectations regarding semiconductor manufacturing capabilities achievable without state-of-the-art Western technology.
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