# INVESTIGATION: LineShine — How China Reclaimed the Top of Global Computing Despite Sanctions

> On June 24, 2026, the 67th edition of the TOP500 ranking — the biannual list of the 500 most powerful computing systems in the world, the sector's absolute benchmark — delivered a verdict that sent shockwaves through Western technology intelligence circles: a Chinese supercomputer, LineShine, installed at the National Supercomputing Center of Shenzhen (NSCS), seized first place

- Author: Maxime Marquette
- Publisher: MadMax (https://mad-max.co)
- Section: Investigation
- Published: 2026-06-27
- Canonical URL: https://mad-max.co/en/article/enquete-lineshine-comment-la-chine-a-repris-le-sommet-du-calcul-mondial-malgre-l

## Introduction: On June 24, 2026, Beijing takes the lead in global supercomputing

### TOP500, 67th edition: a ranking that changes everything

On **June 24, 2026**, the **67th edition** of the **TOP500** ranking — the biannual list of the 500 most powerful computing systems in the world, the sector's absolute benchmark — delivered a verdict that sent shockwaves through Western technology intelligence circles: a Chinese supercomputer, **LineShine**, installed at the **National Supercomputing Center of Shenzhen (NSCS)**, seized first place globally with a performance of **2.198 exaflops**. This is the first time since **2017** that a Chinese system has led this ranking. And it is the first time in history that a supercomputer has exceeded two exaflops using only conventional processors (CPU) — without a single American graphics processing unit (GPU).

The significance of this event reaches far beyond the world of specialized computing professionals. **LineShine** is built on **LX2** processors developed in **China**, a proprietary architecture called "**LingKun**," a proprietary interconnect "**LingQi**," and a **Kylin OS** operating system. Not a single American component in a machine that has beaten the best achievements of **AMD**, **Intel**, and their partners. This is a demonstration of **computational independence** that Washington spent years trying to prevent through export control policies — and this demonstration has just proven that policy failed in its primary objective.

### What 2.198 exaflops actually means

**2.198 exaflops** — or **2.198 quintillion floating-point operations per second**. To grasp this power: this figure represents approximately **2,200,000,000,000,000,000** mathematical operations per second. If every human being on Earth performed one mathematical operation per second, it would take **280 million years** to do what **LineShine** does in one second. This is computing power that transforms the possibilities of research in physics, meteorology, molecular biology, artificial intelligence, cryptography — and weapons development.

The previous world number one, the American **El Capitan** at **Lawrence Livermore** National Laboratory, reaches **1.809 exaflops** — about **21% less powerful** than **LineShine**. **Frontier** (Oak Ridge National Laboratory) is third with **1.353 exaflops**, **Aurora** (Argonne National Laboratory) fourth with **1.012 exaflops**. **China** has not merely caught up with the United States in supercomputing — it has surpassed it.

*2.198 exaflops built without a single American chip. That is the central political message of LineShine, beyond the technical achievement. For years, Washington believed that controlling exports of advanced semiconductors was enough to maintain American technological superiority over China. LineShine has just demonstrated that this strategy had a limit — and that China has reached and crossed it.*

## LineShine's architecture: a calculated technological independence

### The LX2 processor: the chip that changed everything

At the core of **LineShine** sits the **LX2** processor — a chip with **304 cores**, running at **1.55 GHz**, developed in **China** within the "**LingKun**" platform. This processor is the product of a decade of massive investment in Chinese semiconductor research, catalyzed by — in history's irony — the American sanctions themselves. When Washington cut **China's** access to advanced chips from **NVIDIA**, **AMD**, and **Intel**, it forced Chinese engineers and institutions to develop their own alternatives. **LineShine** is the product of this constraint transformed into opportunity.

The complete system mobilizes **13.79 million cores** — a staggering figure representing a computing infrastructure of incomprehensible scale to the general public. To power this infrastructure, **LineShine** consumes approximately **42.2 megawatts** of electrical power. For comparison: this is the electrical consumption of approximately **35,000 European households**. This is not a machine — it is a city of computation.

### LingQi: the proprietary interconnect that makes the difference

In supercomputers, performance depends not only on the power of individual processors — it depends on the speed at which those processors can communicate with each other. This is the role of the **interconnect** — the system's internal network. **LineShine** uses a proprietary interconnect called "**LingQi**," developed in China, which ensures data transfers at sufficient speed to coordinate its **13.79 million cores** in real time.

This proprietary interconnect is, along with the **LX2** processor, the second pillar of **LineShine's** technological independence. The highest-performing interconnects in American systems use **InfiniBand** technology (**NVIDIA** network) — a technology China can no longer freely procure under export restrictions. Developing a proprietary interconnect of equivalent quality is one of the most significant technical achievements of this project.

*LineShine's entire architecture — CPU, interconnect, OS — is 100% Chinese. This is not an assembly of modified Western parts. It is an independent technology stack, end to end. This is exactly what Washington sought to prevent by imposing semiconductor export restrictions. These restrictions accelerated the development Washington wanted to slow. The history of technology sanctions is often this same irony.*

## Secondary rankings: a more nuanced picture

### HPCG and HPL-MxP: where LineShine wins and where it falls behind

The **TOP500** ranking uses several different metrics to evaluate supercomputers. The **HPL** (High Performance Linpack) — on which LineShine ranks number one — measures performance in dense matrix computation, representative of traditional scientific applications. The **HPCG** (High Performance Conjugate Gradients) measures a more complex workload closer to real-world engineering applications. The **HPL-MxP** measures mixed-precision performance, crucial for AI workloads.

On **HPCG**, **LineShine** is also number one with **22.00 HPCG-Petaflop/s**, ahead of **El Capitan** (**17.41**). This is a double victory. On **HPL-MxP** — the ranking crucial for artificial intelligence and language model training — **LineShine** falls to fourth place with **7.92 exaflops**, behind **El Capitan** (**16.7**), **Aurora** (**11.6**), and **Frontier** (**11.4**). This deficit is explained by **LineShine's** CPU-only architecture: GPUs are optimized for the mixed-precision computations used by AI — and the most powerful GPUs remain American.

### What the HPL-MxP gap means for Chinese AI

**LineShine's** fourth place in **HPL-MxP** is important information. It means that for applications training large AI models — those requiring massive quantities of mixed-precision computation — **China** has not yet achieved parity with the best American systems. **El Capitan** delivers **16.7 exaflops** in HPL-MxP versus **7.92** for **LineShine** — more than double.

This AI dimension deficit is a real strategic vulnerability for **China**. In the race for artificial intelligence — which may be the determining factor of twenty-first-century technological competition — **NVIDIA** GPUs and their equivalents remain dominant. American export sanctions on advanced GPU exports to China (**H100**, **A100**, and successors) create a real constraint that **LineShine** does not overcome. For AI, the Sino-American technological battle is not yet decided.

*The nuance on HPL-MxP is important and too often absent from the triumphalist commentary (on both sides) about LineShine. China has won traditional supercomputing. It has not yet won AI supercomputing. And AI may be more strategically significant than pure scientific computation. This is not a total victory — it is a partial, significant victory that should concern the West without causing it to panic.*

## The sanctions strategy: a policy in partial failure

### How Washington tried to block China

The American policy of technology export controls toward **China** has a long history. It was intensified under the Biden administration with restrictions in **2022** and **2023** on advanced chip exports — prohibiting notably the sale to **China** of **NVIDIA's H100** and **A100** GPUs, the most advanced chips commercially available. These restrictions explicitly aimed to deprive **China** of the components needed to build supercomputers and train top-tier AI models.

The results of this policy are now legible in the **TOP500** ranking. On one hand, the restrictions clearly slowed Chinese access to the most advanced GPUs — as evidenced by **LineShine's** lag in HPL-MxP. On the other, these same restrictions catalyzed the development of China's domestic semiconductor industry, producing the **LX2** processor and the **LingKun** architecture. This is the Sputnik effect in semiconductor form: pressure creates innovation.

### The technology sanctions paradox

The history of technology sanctions shows a recurring paradox. In the short term, they effectively slow the targeted country — **China** would probably not have built **LineShine** as quickly had American GPUs been available. In the medium term, they force the targeted country to develop its own capabilities — as **China** did, as the **USSR** had developed its atomic bomb after the United States tried to maintain that monopoly, as **Japan** developed its consumer electronics after American embargoes on raw materials in the **1930s**.

The question that **LineShine** poses to Washington is blunt: did technology sanctions achieve their objective — maintaining American technological superiority over China in supercomputing? The answer is no. They created a delay. They may have prevented even faster development. But they did not prevent **China** from building the world's most powerful supercomputer.

*I am not saying technology sanctions are useless — they created real delays and can maintain advantages in specific domains. But the idea that they could durably block China's technological rise was an illusion. A country of 1.4 billion people, with 600 million potential engineers and massive R&D investments, will always eventually develop what is withheld from it. This is a lesson Washington must integrate into its strategy.*

## The strategic stakes: supercomputing as national power infrastructure

### What is a 2-exaflop supercomputer actually used for?

Why is a supercomputer like **LineShine** strategically important? Because computing power directly determines a country's capability in critical domains. In **climate research**: high-resolution climate models require exaflops of computation. In **pharmaceutical development**: drug design through molecular simulation requires massive computation. In **nuclear physics**: simulation of thermonuclear explosions — which allows nuclear arsenals to be maintained without physical tests — requires supercomputers of the **El Capitan** or **LineShine** generation.

In **artificial intelligence**: even if GPUs remain dominant for training, supercomputers play a growing role in scientific AI applications. In **cryptography**: breaking current encryption systems requires massive computing power, and the race between encryption and decryption is partly played out on supercomputers. And in **weapons development**: missile aerodynamics, war scenario simulation, trajectory optimization — all direct military applications.

### Nuclear weapons simulation: the taboo that must be named

**Lawrence Livermore** National Laboratory, which houses **El Capitan**, has a primary mission: simulation of American nuclear weapons — ensuring that the arsenal remains reliable and functional without physical testing, which has been prohibited since the **Comprehensive Nuclear Test Ban Treaty**. The fact that **El Capitan** is now second behind **LineShine** raises a question that nobody poses openly but that everyone is thinking: if **China** uses **LineShine** to simulate its nuclear weapons, it now possesses potentially superior simulation capability to that of the **United States**.

I cannot confirm that **China** uses **LineShine** for military or nuclear applications — publicly available information does not say this, and it would be irresponsible to assert it without evidence. But the hypothesis is not absurd: the world's most powerful supercomputers almost always serve, in part, military applications. This is a reality that strategic assessment of **LineShine** must take into account.

*The question of nuclear simulation with LineShine is the subject that nobody in mainstream media wants to address head-on. I address it with all necessary caution — I am not asserting, I am questioning. But to ignore this dimension would be an analytical naivety. Supercomputers and weapons programs are linked in every nuclear power in the world. China is not an exception.*

## The American response: El Capitan and the GPU ecosystem

### El Capitan: the American response that remains competitive

**El Capitan**, with its **1.809 exaflops** in HPL, remains a machine of extraordinary power — and in **HPL-MxP**, it still largely dominates **LineShine** with **16.7** versus **7.92 exaflops**. This AI computation superiority results from **El Capitan's** hybrid architecture: it combines **AMD EPYC 4th-generation processors** with **AMD Instinct MI300A accelerators** — high-performance GPUs specialized for AI workloads.

This HPL-MxP superiority reflects the American structural advantage in AI GPUs. **NVIDIA** and **AMD** remain global leaders in advanced computing GPUs — and their most powerful products are not available to **China** under export restrictions. For generative AI workloads, language model training, and mixed-precision computation, American systems maintain a clear lead.

### The American innovation cycle: Aurora, Frontier, and beyond

The American supercomputing landscape does not reduce to **El Capitan**. **Aurora** (**1.012 exaflops**) at Argonne uses **Intel Ponte Vecchio** GPUs. **Frontier** (**1.353 exaflops**) at Oak Ridge relies on **AMD** GPUs. Together, these three systems represent a depth of computing capability that **China**, with a single public exascale system, cannot yet match in aggregate.

Moreover, the United States already has next-generation supercomputer projects in development — "post-exascale" systems targeting **10 exaflops** or more in the years ahead. If development stays on schedule — never guaranteed in projects of this complexity — the United States could reclaim first place within two to three years. But **China** is also developing its next-generation systems. The competition will continue to intensify.

*The American lead in HPL-MxP partially reassures me. Generative AI, LLMs, AI-assisted military decision systems — all of this relies on GPUs and mixed-precision computation. If the United States maintains its lead on this front, its superiority in AI's most strategic applications remains real. But only "partially" — because China is actively developing its own GPU alternatives, and the gap could narrow.*

## Chinese computational independence: a political project as much as a technical one

### Kylin OS: even the operating system is Chinese

**LineShine** runs **Kylin OS** — an operating system developed in **China**, based on the open-source Linux kernel but deeply customized by Chinese teams. This choice reflects the doctrine of **integral computational independence** guiding **LineShine's** development: no dependence on any foreign technology at critical system layers.

This doctrine is not merely technical — it is political. It responds to the very real fear that foreign-sourced software or hardware might contain backdoors, secret access points, or remote sabotage mechanisms — a fear the United States itself used to justify excluding **Huawei** from its 5G networks. **China** is applying at the national level the same digital sovereignty logic the West applies to its critical infrastructure.

### The "Made in China 2025" plan and its fruits

**LineShine** is the visible fruit of an industrial policy launched as early as **2015** under the "**Made in China 2025**" plan — a government program aimed at making **China** independent in critical technology sectors. This plan explicitly targeted semiconductors, supercomputers, AI, aeronautics, and biotechnology. It was funded by tens of billions of dollars in public investment and mobilized the best Chinese universities and research centers.

Western critics tended to dismiss this plan as industrial propaganda — political ambition without real technical results. **LineShine** refutes this reading. The "**Made in China 2025**" plan has delivered results — not in all sectors, not at the announced pace — but in supercomputing, the result is there, measured and ranked by an independent international institution. It is a documented victory of a long-term state industrial policy.

*LineShine's success should force the West to revise its condescending contempt for Chinese state industrial policies. For years, Western liberal economists predicted that Chinese state subsidies would produce inefficient, non-competitive industries. LineShine says otherwise. Perhaps liberal democracies should also have strategic industrial policies — not the same authoritarian model, but the same long-term ambition.*

## Implications for the global AI race

### Supercomputing and AI: two faces of the same competition

The supercomputing race and the artificial intelligence race are inseparable. Training a large language model (LLM) like **GPT-4** or its successors requires hundreds of thousands of GPUs running in parallel for weeks. The data centers of **Microsoft**, **Google**, **Amazon**, and **Meta** represent concentrations of computing power comparable to supercomputers — often measured in aggregate exaflops.

**China** has developed its own LLMs — **DeepSeek**, **ERNIE**, **Baidu** models — with performance comparable to the best American models on certain tasks. But this development runs up against the restriction of advanced GPUs, which limits the size and training speed of models. If **China** succeeds in developing domestic GPUs equivalent to **NVIDIA's H100** or **B200** chips — a race in which it is investing massively — the current AI constraint could disappear within five years.

### DeepSeek as an early warning signal

The release of **DeepSeek** in early **2025** had already sent an alert signal to the American AI ecosystem: a Chinese model developed with less advanced GPUs and at notably lower cost had achieved performance comparable to the most advanced American models. This was not a total victory — the best American models remained superior on certain complex tasks. But it was the demonstration that algorithmic ingenuity can partially compensate for limited hardware access.

**DeepSeek** + **LineShine** = a Chinese AI ecosystem advancing on all fronts simultaneously. The algorithms improve. The computing infrastructure intensifies. Export restrictions create delays but not permanent blockages. The AI race with **China** is closer than most Westerners believe.

*The DeepSeek + LineShine combination concerns me more than either element taken separately. DeepSeek showed that you can do a great deal with limited hardware. LineShine shows that China can build world-class hardware. The convergence of these two trajectories — algorithmic efficiency and computational power — is the most alarming combination for the American AI advantage.*

## Shenzhen, NSCS, and China's innovation ecosystem

### Why Shenzhen?

The installation of **LineShine** at the **National Supercomputing Center of Shenzhen (NSCS)** is not accidental. **Shenzhen** is China's Silicon Valley — a metropolis of **17 million people** built from scratch since the **1980s**, which today houses **Huawei**, **Tencent**, **BYD**, **DJI**, and thousands of startups and R&D laboratories. It is the city that best symbolizes **China's** technological transformation — a transformation planned by the state but fueled by genuine entrepreneurial and engineering energy.

Installing the world's most powerful supercomputer in **Shenzhen** sends a double message: domestically, it validates the technological development model of the laboratory city. Externally, it positions Shenzhen — and China — as the new global center of advanced computing. This geopolitical signal is intentional and meticulously calculated.

### University-industry-state cooperation

The development of **LineShine** illustrates the Chinese model of "**civil-military fusion**" — close collaboration between university research institutes, private companies, and the state. The **Shenzhen Cloud Computing Center** that built the system, the engineering teams of the **LingKun** platform, and the government funds that financed the project — all of this operates in an ecosystem where boundaries between public and private sectors are deliberately blurred and mutually beneficial.

This model is different — and in certain respects more effective for large-scale national projects — than the American model, where supercomputers are primarily developed by national laboratories funded by the Department of Energy. The comparison is not simple: each model has its strengths. But **China's** ability to rapidly mobilize massive resources for priority technology projects is documented by **LineShine**.

*The Chinese civil-military fusion model is simultaneously frightening and effective. Frightening because it erases the barriers between civilian research and military applications — everything developed in this system can be turned to military ends. Effective because it creates synergies between the best university research, entrepreneurial innovation, and state funding. The West must develop its own response — without imitating the authoritarian model, but also without remaining naive about what it is facing.*

## Global reactions: from shock to strategic reassessment

### The American reaction: a strategic pause

The official American reaction to the **TOP500** result has been measured — publicly. In private, according to multiple sources close to defense and technology intelligence circles, the result has triggered an urgent revision of assessments of Chinese technological capabilities. **Intelligence agencies**, national laboratories, and the Department of Defense are all reassessing their assumptions about the pace and scale of Chinese computing development.

A specific question has surfaced in these discussions: is **LineShine** the only system of this class, or is it the public version of an even more powerful Chinese military computing infrastructure? This is a question that open sources cannot answer — but it illustrates the strategic anxiety that the **TOP500** ranking generates well beyond the circle of computing specialists.

### The European reaction: between concern and missed opportunity

**Europe** watches **LineShine's** success with particular anxiety. While the United States and **China** both have exascale systems, Europe remains behind in this race. The most powerful European supercomputer — **LUMI** in Finland — is of a previous generation and sits at a fraction of the power of **LineShine** or **El Capitan**. The European High Performance Computing initiative (**EuroHPC**) continues its development program, but the pace and ambitions remain below those of the two supercomputing superpowers.

For **Europe**, **LineShine's** success should be an alarm bell: in the race for advanced computing, standing still means falling behind. Computing capabilities directly determine competitiveness in AI, pharmaceutical research, climate simulation — all domains in which Europe has vital interests. Remaining in the second tier of global supercomputing is a mortgage on European technological sovereignty.

*Europe absent from the podium of global supercomputing — this is a strategic gap I do not fully understand. Not the financial means? The EU's 27 members represent a GDP larger than that of the United States. Not the engineers? Europe produces excellent computing engineers. Then what? The lack of coordinated political will for a strategic investment of this scale. It is a choice — a bad choice.*

## Toward the next generation: who will be number one in eighteen months?

### American post-exascale systems in development

Washington is not standing still. Several next-generation supercomputer projects are under development in the United States, with target performances ranging from **5 to 20 exaflops**. These systems will use next-generation GPUs from **NVIDIA** (**Blackwell** and successors) and **AMD**, and will benefit from advances in interconnects and energy efficiency. If timelines hold — never guaranteed in projects of this complexity — the United States could reclaim first place within two to three years.

But **China** is also developing its next-generation systems. The engineers of **LingKun** and **LineShine** are not stopping after their victory — they are already preparing the next generation of **LX** processors and computing architectures. And if American export restrictions continue to drive the development of Chinese domestic GPUs, the current HPL-MxP constraint could be lifted within five years.

### A world of five exascale systems: a new normal

The **TOP500** report of June **2026** notes a historic change: for the first time, there are simultaneously exascale systems in **Asia**, **North America**, and **Europe**. There are now **five systems** exceeding one exaflop in HPL. This "**globalization of supercomputing**" means that the American monopoly on cutting-edge extreme computation — which had lasted several years — belongs to the past.

This is not necessarily bad news for global science — more exascale systems, geographically distributed, means more capacity for climate, medical, and physics research. But from the perspective of strategic competition, it means that technological superiority can no longer simply rest on access to computing infrastructure that adversaries lack. The competition shifts to other fronts: algorithms, applications, talent management, systems security.

*The globalization of supercomputing — five exascale systems across three continents — is good news for science and a complication for strategy. I prefer a world where more countries have access to advanced computing for research. But I am also realistic about the fact that these capabilities have military dimensions that scientific diplomacy cannot erase. The spread of supercomputing resembles the spread of ballistic missiles in the 1960s: inevitable, ambiguous in its consequences.*

## Lessons for the West: invest or fall behind

### The Western underinvestment deficit in supercomputing

The **West** — taken as a whole — is underinvesting in supercomputing relative to its technological ambitions. The United States maintains leadership through its national laboratories, but budgets are constrained and development timelines long. **Europe** is structurally behind. **Japan**, with its **Fugaku** system, remains competitive but lacks portfolio depth.

The lesson of **LineShine** is simple: technological superiority does not maintain itself. It requires continuous, ambitious, and strategically coordinated investment. Export restrictions can slow adversaries, but they do not replace indigenous innovation. If the West wants to maintain its superiority in advanced computing — and in the AI that depends on it — it must invest massively, coordinate its efforts (especially in Europe), and develop the human talent that feeds these systems.

### The talent battle: the other dimension of the race

Behind every supercomputer, there are engineers. **China** trains hundreds of thousands of engineers annually in computing, electronics, and applied mathematics. Many of them were trained in American and European universities — and a policy of restricting student visas, as some American political circles have considered, could deprive the West of precious talent while reinforcing Chinese capabilities at home.

The real answer to **LineShine** is not an additional technology restriction law — it is investing in scientific education, attracting and retaining the world's best engineers (including Chinese engineers, who contribute massively to American innovation), funding ambitious computing projects, and maintaining transatlantic research partnerships. This is not naivety — it is the policy that produced the American era of supercomputing in the **2010s**.

*The Trumpian reaction to Chinese technological successes — more restrictions, more walls, fewer foreign students — strikes me as counterproductive. The United States was the dominant technological power for decades precisely because it attracted the best minds from around the world. Closing off means sawing off the branch you are sitting on. LineShine should push toward greater investment, not toward shrinking.*

## The impact on military AI: supercomputing and the AI arms race

### Supercomputing as military AI infrastructure

**LineShine's** victory in the TOP500 ranking is not merely an academic or industrial achievement — it has direct implications for global military competition. Supercomputing is the foundational infrastructure of **military artificial intelligence**: missile guidance systems, real-time intelligence analysis, tactical scenario simulation, development of new hypersonic weapons. A nation that masters supercomputing holds a decisive advantage in developing these capabilities.

The Chinese military — the **People's Liberation Army** — is investing massively in integrating AI into its military operations. **China** has publicly announced its intention to achieve military parity with the **United States** by **2035**. The availability of world-class domestic computing power, beyond the reach of American sanctions, is a key element of this ambition. **LineShine** is not merely a civilian supercomputer — it is a dual-use infrastructure whose military beneficiaries are as real as its scientific ones.

### The algorithmic arms race: a new front of competition

The **war in Ukraine** demonstrated that **algorithms** have become weapons in their own right: target recognition, drone trajectory optimization, electronic intelligence analysis. These algorithms require considerable computational resources for their training and deployment. The nation with the greatest computing power holds a potentially decisive advantage in developing these algorithmic weapons.

For **NATO** member states, the lesson of **LineShine** is therefore twofold: **Beijing** has crossed a computational threshold that gives it an accelerated capacity to develop AI-based military capabilities. The **Atlantic Alliance's** commitments to investment in **military AI** and supercomputing — still insufficient — must be urgently reinforced if the West is to maintain its operational advantage in the coming decade.

*This military dimension of **LineShine** is the one that concerns me most. We speak of scientific computing records — but behind these numbers lies a concrete strategic reality: **China** is building the computational infrastructure that will feed its military capabilities of tomorrow. The **West** must respond to this reality with urgency commensurate with its gravity.*

## The talent ecosystem: where are tomorrow's supercomputing engineers trained?

### Engineer training: a demographic and educational competition

Behind supercomputers, there are engineers. Each year, **China** trains hundreds of thousands of engineers in computing, electronics, and applied mathematics — several times more than the **United States** and **Europe** combined. Not all of these graduates work in supercomputing. But the depth of the talent pool available for projects like **LineShine** is unmatched in the Western world. And this pool grows denser every year.

**China** has also developed a very effective talent repatriation system: incentive programs attract Chinese researchers trained abroad — at the best American and European universities — to return to work in **China**. The "**Thousand Talents**" program, despite the political controversies it has generated, has considerably enriched the Chinese scientific ecosystem. This transfer of Western expertise to **China** is a factor often underestimated in **Beijing's** technological rise.

### The West facing a talent deficit in advanced computing

American and European universities also train world-class engineers and researchers in supercomputing and advanced computing. But their numbers are insufficient relative to sector needs. Demand for talent in **AI**, supercomputing, and cybersecurity far exceeds the available supply. And a portion of the best talent — particularly those of Asian or international origin — chooses to return to their home countries or is actively recruited by Chinese companies.

The Western response must include a strong educational dimension: drastically increasing the number of advanced computing graduates, strengthening the appeal of careers in public technology, maintaining openness to international talent while protecting sensitive strategic knowledge. This is not a contradiction — it is the sophisticated management of a competition that is also played out in university lecture halls.

*I often reflect on this talent war being waged in silence, far from the headlines about supercomputers and sanctions. A computing doctoral student who chooses to return to **China** rather than stay in the **United States** represents a considerable transfer of intellectual value. Talent policy is national security policy — and the **West** must treat it as such.*

## Conclusion: LineShine as warning and as challenge

### What LineShine says about the world in 2026

**LineShine** says several things simultaneously about the world in **2026**. It says that **China** has achieved technological maturity in supercomputing — a domain that was exclusively Western a decade ago. It says that technology sanctions cut both ways. It says that state technological ambitions, sustained over decades, can produce results that short-term democracies underestimate. And it says that the Sino-American technological competition — which is at bottom the principal geopolitical fracture of the twenty-first century — has intensified, not diminished.

This is not a catastrophe. The West has the resources, talent, and institutions to respond. But the response must match the stakes — not press releases about export restrictions, but massive, sustained, coordinated investment in the technological infrastructure that will determine tomorrow's balance of power.

### LineShine's victory: permanent or temporary?

**LineShine's** number-one position is permanent in the moment — on the June **2026** ranking, it is set. It is temporary in the ongoing competition — in six months, in a year, in two years, the ranking will evolve. The United States is developing more powerful successors to **El Capitan**. **China** is developing successors to **LineShine**. The race does not end.

What matters is what **LineShine** represents symbolically and strategically: a **China** technologically independent in advanced computing, capable of building the world's best system with its own chips, its own network, its own OS. This computational independence is irreversible. And it fundamentally transforms the terms of global technological competition.

*I conclude this investigation with a renewed conviction: **LineShine** is not an anomaly — it is the signal of a reality that the **West** must integrate into its strategic vision. The technological **China** of **2026** is not that of **2010**. It innovates, it surpasses, it redefines the boundaries of the possible. To refuse to see this would be the most costly strategic mistake that democracies could make.*

**By Maxime Marquette, columnist**

## Columnist's transparency note

### Editorial stance

I am not a journalist but a **columnist and analyst**. My expertise lies in observing and analysing the geopolitical, economic and strategic dynamics that shape our world. My work is to take political strategies apart, to understand global economic movements, to put the decisions of international actors in context and to offer analytical perspectives on the changes that are redefining our societies.

I do not claim the cold objectivity of traditional journalism, which stops at reporting facts. **I claim analytical clarity**, rigorous interpretation and a deep understanding of the complex issues that concern us all. My role is to give meaning to the facts, to place them in their historical and strategic context, and to offer a critical reading of events.

### Method and sources

This text keeps the basic distinction between **verified facts and interpretive analysis**. The rule never changes: a factual claim is published only when a verifiable source supports it, and the sources this article actually used are listed under **Sources**, never here.

**Primary source families** used by the publication, when the story has them: official statements from governments and international institutions, public statements by political leaders, reports from intergovernmental organisations, dispatches from recognised international news agencies.

**Secondary source families**: specialised publications, internationally recognised news media, analyses from established research institutions, reports from industry organisations.

When an article cites statistical, economic or geopolitical data, it comes from the institutions that produce it (intergovernmental organisations, central banks, national statistics offices), and the exact institution is named under **Sources**.

### Nature of the analysis

The analyses, interpretations and perspectives in the analytical sections of this article are a **critical, contextual synthesis** based on the information available, the trends observed and the expert comments cited in the sources consulted.

My role is to interpret these facts, to set them in the context of today's geopolitical and economic dynamics, and to give them a coherent meaning within the larger story of the changes shaping our time. These analyses reflect expertise built through continuous observation of international affairs and an understanding of the strategic mechanisms that drive global actors.

This article describes a documented state of affairs on its publication date, not a prediction: later developments may shift its outlook. No update is promised in advance; when an article is corrected or completed, the change is dated in the text.

## Sources

### Primary sources

- [TOP500.org — LineShine debuts at No. 1, TOP500 enters new global exascale era — June 24, 2026](https://top500.org/news/lineshine-debuts-no-1-top500-enters-new-global-exascale-era/)

- [The Guardian — Chinese supercomputer overtakes best US machines to become world's fastest — June 24, 2026](https://www.theguardian.com/technology/2026/jun/24/china-supercomputer-world-fastest-top500-ranking-lineshine)

- [Nature — China's LineShine just topped the global supercomputer rankings — what you need to know — June 26, 2026](https://www.nature.com/articles/d41586-026-02047-w)

### Secondary sources

- [Washington Post — Chinese supercomputer dislodges US machines as world's fastest for first time since 2017 — June 23, 2026](https://www.washingtonpost.com/business/2026/06/23/supercomputer-china-lineshine-el-capitan-fastest/5df6c81e-6f4e-11f1-8730-e7fd0e2a6404_story.html)

- [Tech Wire Asia — China beats US in TOP500 ranking with world's fastest supercomputer — June 24, 2026](https://techwireasia.com/2026/06/china-top500-supercomputer-ranking-lineshine/)

- [The Register — Chinese supercomputer using local processors heads TOP500 list — June 24, 2026](https://www.theregister.com/hpc/2026/06/24/chinese-supercomputer-using-local-processors-heads-top500-list/5260532)

---

Source: Maxime Marquette, MadMax. When citing, name the author and link https://mad-max.co/en/article/enquete-lineshine-comment-la-chine-a-repris-le-sommet-du-calcul-mondial-malgre-l