Huawei's "Tao Law": A Comprehensive Overview of Core Companies

marsbitPublicado em 2026-05-25Última atualização em 2026-05-25

Resumo

Huawei's "Tau Law": Core Companies Overview On May 25, 2026, Huawei's Director and President of the Semiconductor Business Division, He Tingbo, formally introduced the "Tau (τ) Law" at ISCAS 2026, marking a significant principle guiding industry development in the global semiconductor field from China. The Tau Law shifts focus from traditional Moore's Law, which pursues geometric transistor scaling, to "time scaling"—continuously compressing signal propagation delay (time constant τ) without solely relying on extreme feature size reduction. The core implementation path is "logic folding." This technique transforms circuit layouts from two-dimensional planes to multi-layer 3D stacks, using short vertical interconnects to replace long horizontal wiring, thereby drastically reducing τ. Huawei has already designed and mass-produced 381 chips following this principle over the past six years, with plans to launch a Kirin chip utilizing logic folding in Fall 2026. By 2031, high-end chips based on the Tau Law are expected to achieve performance levels equivalent to a 1.4nm process node. This development impacts several key industry segments, with related Chinese companies poised to benefit: 1. **EDA Design Software**: Essential for circuit-level optimization. Key players include: * **Empyrean Technology** (Huada Jiutian): China's largest full-flow EDA provider. * **Primarius Technologies** (Gailun Dianzi): Specializes in device modeling and verification. * **S...

On May 25, 2026, He Tingbo, Huawei Director and President of the Semiconductor Business Unit, officially introduced the Tao (τ) Law at ISCAS 2026. This marks China's first proposal of a new principle guiding the global semiconductor industry development.

1. τ (tau, transliterated as "Tao") represents the time constant in circuit theory—the time required for a signal to switch from one state to another. A smaller τ indicates faster circuit switching.

The traditional Moore's Law pursues continuously shrinking transistor dimensions (geometric scaling).

The Tao Law shifts towards temporal scaling: continuously compressing signal propagation delay, without relying on extreme linewidths.

2. Core Implementation Path—Logic Folding

Traditional chip circuit layouts are two-dimensional planes, requiring signals to travel long distances laterally. Logic folding expands the circuit layout from a single layer to a multi-layer stack, "folding" critical paths vertically, replacing long-distance planar interconnects with short-distance vertical interconnects, thereby significantly reducing the time constant τ.

3. Achievements and Goals

Over the past six years, Huawei has designed and mass-produced 381 chips adhering to the Tao Law.

Plans to launch a Kirin chip using logic folding technology in the autumn of 2026.

It is projected that by 2031, high-end chips based on the Tao Law can achieve performance levels equivalent to a 1.4nm process node.

This article compiles a list of companies related to Huawei's Tao Law below. It is recommended to like and save this list for future research. The content is solely for logical interpretation and information reference, not investment advice. Follow me for daily analysis of core market themes and logic.

(I) Design Software EDA

The Tao Law requires optimization at the circuit level for transistor and interconnect layout to compress the time constant τ, and EDA tools permeate the entire chip design, simulation, and verification process. The 381 chips Huawei has mass-produced must rely on a mature, full-flow domestic EDA tool system. The following companies hold core positions in the EDA field:

1. Huada Jiutian

Ranked first in A-share EDA tool market share, holds about 6% domestic market share, currently the largest and most comprehensive EDA enterprise in China in terms of scale and product line. The company possesses full-flow EDA tool systems for analog circuit design, digital circuit design EDA tools, etc., capable of providing underlying support for the circuit-level optimization required by the Tao Law.

2. Primarius Technologies

Ranked second in A-share EDA tool market share, core advantages lie in device modeling and verification EDA tools. The company has formed a complete toolchain covering device modeling, circuit simulation, and yield analysis. The Tao Law's requirement for fine optimization of transistor interconnect resistance and capacitance can directly interface with Huawei's chip design flow through Primarius's device physics modeling capabilities.

3. Semitronix

Ranked third in A-share EDA tool market share, specializes in EDA manufacturing tools, particularly chip yield enhancement and test chip design. The yield enhancement solutions provided by the company are a key bridge between wafer foundries and design houses. As logic folding technology moves towards mass production, the yield ramp-up process will highly depend on yield management EDA tools like those from Semitronix.

4. Shentong Metro

Indirectly holds a stake (approx. 7.58%) in Huada Jiutian through its subsidiary fund, Jianyuan Fund. Shentong Metro itself is not a pure-play EDA company, but as a significant shareholder of Huada Jiutian, it stands to benefit indirectly from the valuation uplift cycle of domestic EDA driven by the Tao Law.

5. Anlogic

Has independently developed a full-flow FPGA-dedicated EDA software—TangDynasty. FPGA EDA tools are extremely difficult; Anlogic is one of the few domestic companies capable of providing end-to-end tools from logic synthesis to place & route. The Tao Law emphasizes architectural innovation; FPGAs are indispensable in verification and prototyping simulation. Anlogic's EDA tools will indirectly benefit from the demand for domestic FPGAs and supporting tools within the Huawei ecosystem.

6. Sai Microelectronics

Holds an investment stake (4.67%) in Qingdao Zhan Cheng Technology, which focuses on IC design EDA tools, specializing in physical verification and layout-related areas. Sai Microelectronics itself is a MEMS foundry; its investment in EDA forms a two-way synergy between manufacturing and tools.

7. Fudan Microelectronics

Possesses full-flow, independently developed FPGA supporting EDA tools capable of supporting its self-developed FPGA products. The company holds a prominent position in the domestic high-reliability FPGA field; its EDA tools have undergone extensive internal validation. Logic folding designs promoted by the Tao Law might be first applied in FPGA chips; Fudan Microelectronics's hardware-software integration capability will benefit.

8. Zhangjiang Hi-Tech

As the development entity of Zhangjiang Science City, participates in investing in the Shanghai EDA Innovation Center, dedicated to building a full-flow domestic EDA ecosystem. The company follows more of an industrial platform and ecosystem investment logic, not directly involved in EDA development, but benefits from regional industrial cluster dividends.

9. Taiji Industry

Independently develops and procures EDA software for high-power semiconductor product design. The company's main business is power semiconductors. Although different from the advanced logic chip EDA market, the "architecture over process" concept advocated by the Tao Law might also permeate the power device sector. Taiji Industry's self-developed EDA capability becomes its differentiating highlight.

10. Aerospace Hi-Tech

Has established its own integrated circuit EDA design platform, mainly used for the autonomous design of its aerospace-grade chips. The company has deep expertise in high-reliability, radiation-hardened chips. Its self-built EDA platform reflects the demand for design tool autonomy and control, aligning with the independent innovation logic behind the Tao Law.

11. Dongtu Technology

Holds a stake in Zhongke Yihai Micro; the latter's team independently developed EDA tools supporting its FPGA products. Dongtu Technology indirectly possesses FPGA EDA capability through its investment, offering some thematic elasticity in the wave of domestic substitution.

12. Yue Dianli A

Its participating subsidiary, Shenzhen Capital Group (SCGC), previously invested in Huada Jiutian. Yue Dianli A holds a multi-layered, indirect stake in Huada Jiutian. It belongs to a very indirect beneficiary target with a long equity chain, offering relatively limited elasticity.

(II) Chiplet & Advanced Packaging

Logic folding upgrades circuit layout from a single-layer planar structure to a multi-layer stack, essentially using 3D packaging to achieve vertical short-distance interconnects. This creates a rigid demand for advanced packaging technologies: multi-layer chip stacking, Through-Silicon Vias (TSV), hybrid bonding, and other processes become essential. The following companies are core participants in domestic advanced packaging and Chiplet technology:

1. Tongfu Microelectronics

Ranked first in domestic advanced packaging technology progress, has mass-produced Chiplet-architecture CPU/GPU products for AMD at scale. The company possesses a complete 2.5D/3D packaging platform, including processes like TSV, Fan-out, Hybrid Bonding. AMD is the most successful benchmark in Chiplet commercialization. As AMD's core packaging and testing partner, Tongfu Microelectronics has fully operationalized the entire flow from technology to mass production, making it the most likely candidate to undertake packaging needs for Huawei's logic folding chips.

2. JCET Group

Ranked second in domestic advanced packaging technology progress, has mass-produced various advanced packaging products (e.g., SiP, Fan-out, WLCSP, etc.). JCET is the world's third-largest packaging and testing foundry, with significant scale advantages. Although its current scale orders in the Chiplet field are not as large as Tongfu Microelectronics', its vast capacity and customer base give it rapid follow-up capability.

3. Tianshui Huatian Technology

Ranked third in domestic advanced packaging technology progress, has achieved mass production of advanced packaging products. The company focuses on high-density packaging, with deployments in areas like FC, TSV, SiP. Huatian's advantages lie in cost control and customer responsiveness; it is expected to capture a portion of packaging orders once logic folding technology matures.

4. Yong Silicon Electronics

Advanced packaging business accounts for nearly 100% of revenue, a pure-play advanced packaging company. The company focuses on high-end packaging and testing, with products including QFN, BGA, SiP, etc. Due to its smaller size and high business purity, the company often exhibits greater earnings elasticity within the Tao Law theme.

5. Cambricon Technologies

Its cloud AI chip, Siyuan 370, already employs Chiplet technology, a typical commercial chip case of Chiplet architecture domestically. Cambricon is an AI chip design company, not directly involved in packaging, but its successful Chiplet experience proves the feasibility of this technical path. The Tao Law will further promote the adoption of Chiplet in AI chips; as a pioneer, Cambricon may gain first-mover advantage in design methodology.

6. VeriSilicon

Provides high-end application processor platforms based on Chiplet architecture. VeriSilicon is a chip design service (IP and design platform) company with a rich Chiplet IP library and system integration capabilities. The multi-layer stacking design promoted by the Tao Law will increase demand for Chiplet design methods, interface IP, and Network-on-Chip (NoC). VeriSilicon's platform capabilities are expected to translate into growth in licensing revenue.

7. Blue Rocket Electronics

Products cover packaging forms like DNF, PDFN, QFN, etc., with QFN being a basic type in advanced packaging and testing. The company's technical level is within the domestic mainstream tier, benefiting from the overall semiconductor packaging and testing recovery and domestic substitution logic.

8. Zizheng Shares

Mainly engaged in specialized equipment for semiconductor back-end advanced packaging, such as die bonders, sorters, etc. In the advanced packaging capacity expansion cycle, equipment suppliers are among the first to benefit.

9. Dagang Shares

The company's subsidiary, Suzhou Koyang Optoelectronics, possesses advanced packaging technology expertise, mainly engaged in wafer-level packaging, TSV, etc. Currently, it is still in the stage of technology accumulation and market expansion.

10. Suzhou Good-Ark

Involves in the advanced packaging field through investments and subsidiaries, currently in the technology accumulation stage. The company's main business is semiconductor discrete devices.

11. Sanjia Technology

The company involves in semiconductor packaging molds and equipment; in the advanced packaging field, it is in the technology accumulation stage.

(III) Foundry Manufacturing

Compressing the time constant τ relies not only on circuit design but also requires optimization at the device level for transistor structure, interconnect materials, and process parameters. These optimizations must ultimately be implemented in the process platforms and design rules of wafer fabrication plants. Furthermore, the logic folding Kirin chip Huawei plans to launch in autumn 2026 must be taped out and mass-produced by a foundry. Major domestic foundries all have the opportunity to undertake this historic order:

1. SMIC

The absolute leader in wafer foundry in Mainland China, ranked fourth globally and first nationally. The company possesses mature 14nm and improved processes, along with FinFET advanced node capabilities. The logic folding technology advocated by the Tao Law is essentially design-process co-optimization. As the most technologically advanced domestic foundry, SMIC is most likely to become the primary supplier for Huawei's new-generation Kirin chips. The company also benefits from the capacity transfer trend across the entire domestic chip industry chain.

2. Hua Hong Semiconductor

Ranked sixth globally and second nationally in wafer foundry, known for power devices, analog chips, and embedded non-volatile memory. Although Hua Hong's advanced node capability is weaker than SMIC's, it has deep expertise in specialty processes. The "logic folding" of the Tao Law does not necessarily depend on extreme linewidths like 5nm/3nm. Hua Hong's mature nodes combined with innovative 3D stacking designs might also undertake some of Huawei's edge computing or IoT chip foundry needs.

3. Nexchip Semiconductor

Ranked ninth globally and third nationally in wafer foundry, primarily engaged in DDIC (Display Driver IC), MCU, etc. The company's technology nodes are mainly 40nm-90nm mature processes. Although there is a gap with cutting-edge logic chip foundry, within the entire industry chain localization process driven by the Tao Law, Nexchip is expected to gain more mature node order transfers from domestic design companies.

4. Yan Dong Microelectronics

Specializes in discrete devices, analog ICs, and specialty IC foundry, with annual revenue of about 2.056 billion RMB. The company's products mainly target high-reliability and industrial control fields. The radiation effect of the Tao Law might influence the design methodology of analog mixed-signal chips. Yan Dong Microelectronics, as a specialty IC foundry, benefits from the overall domestic substitution trend.

Last Sunday, many 20% limit-up stocks appeared among the premium research reports shared within the planet community, such as Rong Da Gan Guang, ACM Research Shanghai last Thursday/Friday. Last night's Hua Xing Yuan Chuang, Hua Hong Semiconductor, SMIC, Xin Lei Neng, etc. For daily premium research reports, please view them in the planet circle on the homepage of this account.

Solemn Statement: All content in this account is solely for information and logic organization, for study and discussion purposes, and does not constitute any investment advice. The publication of articles has no association whatsoever with the stock movements of any related companies. Do not use this as a basis for investment decisions. You must make independent investment decisions. The market involves risks; investment requires caution.

Perguntas relacionadas

QWhat is the 'Tao (τ) Law' proposed by Huawei, and how does it differ from the traditional Moore's Law?

AThe 'Tao (τ) Law' was formally proposed by Huawei's He Tingbo in May 2026. It focuses on 'time scaling,' which means continuously compressing signal propagation delay (represented by the time constant τ) to achieve faster circuit switching. This contrasts with the traditional Moore's Law, which primarily pursues the geometric scaling-down of transistor sizes to increase density and performance.

QWhat is the key technological path to realize the Tao (τ) Law according to the article?

AThe core implementation path for the Tao (τ) Law is 'Logic Folding.' This technology shifts the chip circuit layout from a traditional two-dimensional planar structure to a three-dimensional multi-layer stacked structure. By stacking critical circuit paths vertically, it replaces long-distance planar interconnections with short-distance vertical interconnects, thereby significantly shortening the time constant τ.

QAccording to the article, which Chinese EDA company holds the largest domestic market share?

AAccording to the article, Empyrean Technology (华大九天) holds the largest domestic market share in China's A-share EDA tool market, accounting for approximately 6%. It is described as the company with the largest scale and most complete product line among domestic EDA enterprises.

QWhich company is identified as the most likely candidate to undertake the packaging and testing needs for Huawei's Logic Folding chips?

ATongfu Microelectronics (通富微电) is identified as the most likely candidate. It is ranked first in domestic advanced packaging technology progress and has already mass-produced Chiplet architecture CPU/GPU products for AMD. Its complete 2.5D/3D packaging platform and proven mass production process make it well-positioned to potentially handle Huawei's Logic Folding chip packaging demands.

QWhich Chinese foundry is considered the most probable main supplier for Huawei's upcoming Logic Folding Kirin chips in Autumn 2026?

ASMIC (中芯国际) is considered the most probable main supplier. As China's absolute leader and the world's fourth-largest wafer foundry, with mature 14nm and FinFET advanced process capabilities, it is deemed the most likely partner for the design-process co-optimization required by Huawei's new Logic Folding Kirin chips.

Leituras Relacionadas

Can DeepSeek Save China One Trillion Dollars?

"DeepSeek and the $1 Trillion Infrastructure Question" The article examines whether DeepSeek's AI optimization breakthroughs could potentially save China $1 trillion in future AI infrastructure costs. The analysis begins with Nvidia's upcoming Vera Rubin AI platform, costing ~$7.8 million, where memory (HBM4/LPDDR5X) constitutes $2 million—a 435% cost increase in one year, highlighting how AI hardware spending is shifting toward expensive memory components. DeepSeek's approach works in the opposite direction. Through three key technical innovations showcased in DeepSeek V4, the company dramatically improves hardware efficiency: 1. **Memory Compression (MLA)**: Re-engineers the attention mechanism to compress long-context memory (KV Cache) by over 90%, drastically reducing expensive HBM usage. 2. **Selective Activation (MoE)**: Employs Mixture-of-Experts architecture where only a small fraction of parameters (e.g., 49B out of 1.6T in V4-Pro) are activated per token, allowing most parameters to reside in cheaper memory/SSD. 3. **Computation Caching**: Reuses previously computed results via cache hits, replacing expensive GPU computations with cheap memory reads. Combined, these optimizations allow the same hardware to produce approximately 4x more tokens, effectively reducing required hardware investment by 75%. DeepSeek's pricing reflects this: a 10-billion token workload costs ~$522 monthly versus ~$9,000-$10,000 for competitors. The $1 trillion savings projection stems from McKinsey's estimate that global AI infrastructure will require ~$5.2 trillion investment by 2030. As China's daily token consumption grows toward quadrillions, even marginal efficiency gains scale massively. With a conservative 4x throughput improvement, China could avoid building tens of thousands of AI data centers equivalent to ~7 trillion RMB ($1 trillion) in saved investment. Critically, this strategy shifts dependency from scarce, expensive GPU/HBM—where China lags—toward more accessible storage, caching, and systems engineering where domestic suppliers like CXMT are gaining strength. Rather than "replacing Nvidia," DeepSeek rebalances AI's value chain away from monolithic hardware dependency. Ultimately, DeepSeek's technical breakthroughs could lower the barrier to AI adoption across Chinese industries by making advanced capabilities affordable at scale—transforming who can access next-generation AI.

marsbitHá 57m

Can DeepSeek Save China One Trillion Dollars?

marsbitHá 57m

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

This paper, "Hallucinations Undermine Trust; Metacognition is a Way Forward," proposes a paradigm shift in combating AI hallucination. It argues that the current mainstream approaches—striving for omniscience by scaling data/models or having AI abstain from uncertain answers—are fundamentally flawed. The former has inevitable knowledge gaps, while the latter imposes a crippling "utility tax," requiring the rejection of many correct answers to achieve high accuracy, due to models' poor "discrimination" (the ability to distinguish correct from incorrect answers internally). The core contribution is redefining hallucination not as "being wrong," but as "expressing false information with unwarranted certainty." The proposed solution is **Faithful Uncertainty** or **Metacognition**: enabling AI to accurately perceive its internal uncertainty and honestly express it in its language (e.g., using hedging phrases when unsure). This creates a more reliable assistant that provides useful information while signaling its confidence, minimizing harm from errors. The paper emphasizes that metacognition is critical for the era of AI Agents. Without it, Agents cannot intelligently decide when to use tools like search engines, leading to inefficiency and misuse. Key implementation challenges are highlighted: the "bootstrapping paradox" of training with static uncertainty data, the "alignment distortion signal" where human preference training suppresses internal uncertainty cues, and the difficulty of causally evaluating true metacognition vs. its superficial imitation. The paper concludes that the goal should not be an infallible AI, but one that is honest about the limits of its knowledge, thereby building user trust through transparent communication of its certainty.

marsbitHá 1h

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

marsbitHá 1h

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

Bitcoin has recently declined, hitting a two-month low near $66,123, while Ethereum fell to a three-month low around $1,837. Analysts suggest the drop is not merely due to factors like ETF outflows or MicroStrategy's selling but reflects a deeper issue: Bitcoin is losing a broader asset competition. In a near-zero interest rate environment, Bitcoin previously thrived as an outlet for investor dissatisfaction with inflation and limited options. However, the market landscape has shifted. Bitcoin now occupies an "awkward middle ground," facing competition on three fronts. For inflation hedging, investors prefer gold, energy stocks, and commodity producers—assets with tangible backing and clearer pricing power. For growth exposure, AI-related companies with actual revenues and profits are more attractive. Even within crypto, investors can choose stablecoins, exchanges, or infrastructure firms tied directly to adoption, offering clearer business models and leverage. Thus, Bitcoin is no longer the top choice for hedging, growth, or crypto exposure. This shift is evident in market reactions: despite recent warnings about persistent inflation from a Fed official, Bitcoin did not rally as it might have in the past. Instead, capital flowed to assets with direct commodity or energy exposure. The recent ETF outflows and MicroStrategy sales are symptoms, not causes, of this new reality. Investors are becoming more selective, demanding clearer value propositions beyond mere scarcity. The emerging bear case for Bitcoin is not about it being a bubble or failed technology, but that scarcity alone is no longer sufficient.

华尔街日报Há 1h

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

华尔街日报Há 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar CORE

Bem-vindo à HTX.com!Tornámos a compra de CORE (CORE) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar CORE (CORE) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu CORE (CORE)Depois de comprar o teu CORE (CORE), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona CORE (CORE)Transaciona facilmente CORE (CORE) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

304 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar CORE

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de CORE (CORE) são apresentadas abaixo.

活动图片