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Huawei’s Tau Scaling Law Challenges Moore’s Law, Targets 1.4nm by 2031

May 31, 2026
04:21 AM
3 min read

Key Points

Huawei unveiled Tau Scaling Law on May 25, shifting focus from transistor size to signal speed.

Kirin 2026 chip achieved 238 million transistors per square millimeter, matching early 3nm performance.

Huawei targets 1.4-nanometer density equivalent by 2031, five years behind TSMC's 2028 timeline.

Nvidia CEO calls it a breakthrough but notes TSMC has used similar stacking techniques for ten years.

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Huawei unveiled a new semiconductor framework called the Tau Scaling Law on May 25, proposing to shift chip development away from shrinking transistors toward reducing signal travel time across systems. The move addresses US export restrictions that block Huawei’s access to advanced chipmaking machinery. By 2031, Huawei expects chips based on this law to reach transistor density equivalent to 1.4-nanometer processes, a critical milestone for competing with TSMC and Samsung.

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How Tau Scaling Differs From Moore’s Law

For 60 years, Moore’s Law dictated that chip progress meant doubling transistor density every two years by making transistors smaller. Huawei’s Tau Scaling Law takes a different approach. Instead of measuring progress by transistor size, it measures progress by how fast data moves through the entire system. The Greek letter τ represents time constants, including delays as data travels inside transistors, along wires, through memory, and across chips. Huawei argues that users care about speed, not transistor size.

What Huawei Has Already Achieved

Huawei has already mass-produced 381 chips based on the Tau Scaling Law over the past six years. The company’s Kirin 2026 chip, expected to launch this fall, achieved a 53.5% jump in transistor density, reaching 238 million transistors per square millimeter. This matches early 3-nanometer chip performance. The core technique is logic folding, which stacks digital, analog, and memory circuits vertically to shorten signal paths and reduce delays.

Industry Reaction: Breakthrough or Catch-Up?

Nvidia CEO Jensen Huang called Huawei’s approach “a breakthrough” but noted that TSMC has used these techniques for nearly a decade. Huang stated that TSMC and Taiwan have had this technology for 10 years. However, academics view Tau as significant. Zhou Jianjun, a professor at Shanghai Jiao Tong University, called it “a significant rethinking” of chip evolution. He noted that Huawei is pursuing full-dimensional optimization rather than just making transistors smaller.

The 2031 Target and Remaining Gaps

Huawei expects to reach transistor density equivalent to 1.4-nanometer processes by 2031, roughly five years behind TSMC’s timeline. TSMC plans to enter 1.4-nanometer production in 2028. Huawei’s approach avoids advanced EUV lithography, which US sanctions prevent it from accessing. The company frames this as cost-effective and efficient for the market. China’s largest chip manufacturer, SMIC, currently supplies only 7-nanometer chips for Huawei’s Mate 60 phones.

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Final Thoughts

Huawei’s Tau Scaling Law offers a practical workaround to US sanctions, but it remains behind TSMC by years. The approach is real, not hype, but represents adaptation rather than industry leadership.

FAQs

What is the Tau Scaling Law?

A semiconductor principle measuring chip progress by signal travel time rather than transistor size, using logic folding to stack circuits vertically and reduce data delays.

Why did Huawei create this new approach?

US export restrictions limit Huawei’s access to advanced chipmaking equipment. The Tau Law enables chip improvements without cutting-edge lithography machines.

How far behind is Huawei compared to TSMC?

Huawei targets 1.4-nanometer density by 2031, while TSMC plans 1.4-nanometer production by 2028, giving TSMC approximately a three-year advantage.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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