China’s Supercomputer Faster Than the US

    China's Supercomputer Faster Than the US

    China’s Supercomputer Faster Than the US: How Did China Race Ahead in 2026

    Published: June 23, 2025   |  Reading Time: ~10 min | Auther : Sanjeet kumar

    Technology Decides Power: A Historical Perspective

    In 1519, Spanish military commander Hernán Cortés arrived at the Aztec Empire with only about 500 soldiers. The Aztec Empire, on the other hand, was a vast and prosperous civilization with millions of people. Its capital, Tenochtitlan, was one of the largest cities in the world at the time. At first glance, Cortés and his small force seemed certain to lose. Yet he had something the Aztecs had never seen before — technology.

    Cortés’s soldiers carried steel swords, wore armor, carried guns, and rode fast horses. The Aztec warriors were brave, but their weapons were made of stone and obsidian. When they first witnessed soldiers on horseback and fire-breathing guns, the technological gap became unmistakably clear. Spain won that battle, and eventually the larger war, because of its technological superiority.

    Historical Example: Tipu Sultan of India had large, advanced cannons that kept even the large British armies at bay for years — a clear demonstration that superior technology can offset numerical disadvantage.

    Technology has always determined a nation’s power and position in the world. Israel’s victories against multiple Arab nations in 1948, 1967, and 1973 are also attributed to its technological and strategic edge. When the Cold War space race began between the US and the Soviet Union, people wondered what the purpose was — and then GPS technology emerged, transforming everyday life forever. Today, when you order food with a single click, you are using the fruit of that technological race.

    In today’s world, this same dynamic plays out between the United States and China. The US leads, but China has accelerated so dramatically over the past decade that many experts believe it may one day surpass America. Anthropic CEO Dario Amodei recently stated that China’s AI models are only 6 to 12 months behind America’s most advanced models. And on June 23, 2025, China proved it in a concrete way: its supercomputer Lianshine claimed the number one spot on the Top500 ranking — the definitive global list of the world’s most powerful supercomputers.

    Modern Example: Just as GPS — born from the US-Soviet space race — now powers everything from ride-hailing apps to precision agriculture, the nation that leads in supercomputing today shapes what technologies become possible tomorrow.

    What Is a Supercomputer and What Does It Do?

    A supercomputer is not a magical machine. It is, at its core, a regular computer — but its processing power is millions or even billions of times greater than a standard laptop or desktop. A task that would take your personal computer months to complete, a supercomputer can finish in hours or even minutes.

    A Practical Example: Cyclone Prediction

    Imagine a cyclone forming in the Arabian Sea. Meteorologists need to know: Will it hit Gujarat? Will it strike the coast of Maharashtra? Or will it weaken and dissipate in the ocean? Answering this requires analyzing billions of data points — wind direction, sea temperature, atmospheric pressure, cloud formation, and how all of these will change over the next hours and days.

    Assigning this task to a standard laptop could take months. A supercomputer, using thousands of processors working simultaneously, can produce the same result in hours. This is why cyclone warnings are now issued days in advance — saving thousands of lives.

    Real-World Example: India’s own supercomputers, like Pratyush and Mihir, are used by the India Meteorological Department (IMD) to forecast monsoons and cyclones. The 2019 Cyclone Fani forecast — which enabled the evacuation of over 1.2 million people — was made possible by supercomputing power.

    Other Key Uses of Supercomputers

    Field Use Case
    Weather & Climate Cyclone prediction, climate change modeling
    Defense Nuclear weapon simulation, hypersonic missile modeling
    Medicine Drug discovery, protein folding, pandemic modeling
    AI & Machine Learning Training large language models (LLMs)
    Space Exploration Orbital mechanics, satellite design
    Energy Oil and gas exploration, fusion energy research

    China’s new Lianshine supercomputer is already being used to build a digital model of the Earth — simultaneously simulating weather, oceans, and polar ice caps — and to construct complex models of the human brain.

    China’s Supercomputer Journey: From 1978 to Today

    The Starting Point: Deng Xiaoping’s Vision (1978)

    The United States built its first supercomputer, the CDC 6600, in 1964 — widely considered the world’s first true supercomputer. By the time China’s leadership woke up to the strategic importance of supercomputing in 1978, America was already 14 to 17 years ahead.

    In May 1978, Chinese leader Deng Xiaoping made a statement that would change the country’s technological trajectory:

    “China cannot achieve the Four Modernizations without supercomputers.”

    The Four Modernizations referred to Agriculture, Industry, National Defense, and Science & Technology. This declaration launched Project 785, assigned to the National University of Defense Technology (NUDT) and led by chief scientist Ci Yungui. The goal was to build a supercomputer capable of more than 100 million calculations per second.

    Context Example: At the same time, the US was using its ILLIAC IV supercomputer — connected to NASA’s Ames Research Center — to successfully track Soviet submarines for the US Navy. This kind of military application was precisely what China wanted to develop.

    Yinhe-1: China’s First Supercomputer (1983)

    After approximately five years of effort, China’s first supercomputer was completed in December 1983. Named Yinhe-1 (Galaxy-1), it achieved a speed of over 100 megaflops — more than 100 million calculations per second. This milestone made China one of only a handful of nations capable of independently developing supercomputers.

    Steady Growth Through the 1980s and 1990s

    China continued building on this foundation. The Yinhe-2 project began in 1988 and by 1992 could perform approximately 1 billion calculations per second. Yinhe-3 followed, and with each generation, China’s supercomputing capability grew substantially.

    Milestone Example: Going from 100 million calculations/second in 1983 to 1 billion in 1992 — a tenfold increase in under a decade — illustrates how rapidly China was scaling its supercomputing program even before its economy truly took off.

    The 21st Century: China Enters the Global Race

    As China’s economy boomed in the 2000s, government investment in supercomputing surged. China was no longer trying to narrow the gap with America — it was actively competing to take the top position.

    The target was clear: dethrone the world’s fastest supercomputer, which at that time was Jaguar, housed at the US Oak Ridge National Laboratory, with a speed of 1.75 petaflops.

    To build something faster, China sourced Intel Xeon processors and NVIDIA Tesla GPUs. The result, completed in 2010, was Tianhe-1A. When tested, it achieved 2.57 petaflops — approximately 47% faster than Jaguar. For the first time in decades, the world’s fastest supercomputer was neither American nor Japanese. China was number one.

    Geopolitical Example: The Tianhe-1A breakthrough in 2010 was described by analysts as not just a scientific achievement but a geopolitical signal — similar to the Soviet Union’s Sputnik moment in 1957, which shocked the US into dramatically accelerating its space program.

    US Sanctions and China’s Unexpected Response

    The Obama-Era Entity List (2015)

    In 2013, China began upgrading to Tianhe-2, which became the world’s fastest supercomputer. This alarmed the United States. A country with the world’s fastest supercomputer could realistically simulate nuclear weapons, hypersonic missiles, and other advanced military systems — all without conducting physical tests.

    In February 2015, the Obama administration placed four Chinese entities on its Entity List, effectively barring them from purchasing advanced US processors without a special (and likely unobtainable) license:

    • National University of Defense Technology (NUDT)
    • National Supercomputing Center Changsha
    • National Supercomputer Center Guangzhou
    • National Supercomputing Center Tianjin

    China criticized the move, arguing that the rules were being changed precisely when China began successfully competing with the US. As Chris Miller documents in his book Chip War, the US viewed advanced supercomputers as a direct national security threat.

    China’s Counter-Move: Domestic Chip Development

    Rather than being stopped, the US sanctions accelerated China’s push for technological self-reliance. Within a few years, Chinese processors — notably the Feiteng and Shenwei series — developed rapidly. In 2016, China unveiled Sunway TaihuLight, a supercomputer built entirely with Chinese-made processors. It became the world’s fastest supercomputer without relying on a single American chip.

    “The very sanctions meant to slow China down pushed it toward technological independence.”

    Strategy Example: This mirrors how Japan was forced to develop its own semiconductor industry after US restrictions in the 1980s, ultimately building some of the world’s best chip-making technology. Constraints, paradoxically, can accelerate innovation.

    Biden-Era GPU Restrictions

    Under President Biden, the US dramatically escalated chip restrictions — specifically targeting NVIDIA’s advanced GPUs (Graphics Processing Units), which are the primary hardware used for both AI training and supercomputer acceleration. The US also pressured the Netherlands to prevent its company ASML — the sole producer of EUV lithography machines needed to manufacture advanced chips — from selling equipment to China. You can read more about ASML’s role in global chip manufacturing at ASML’s official technology page.

    China’s response was characteristically pragmatic: it sourced second-hand lithography machines through gray markets, reverse-engineered components with the help of Chinese engineers who had worked at major US tech companies, and began building domestic prototypes. Chinese officials have stated that within one to two years, China expects to manufacture its own advanced chip-production machines — eliminating its dependence on foreign suppliers entirely.

    The Lianshine Breakthrough: World’s Fastest Supercomputer (June 2025)

    On June 23, 2025, China’s Lianshine supercomputer was officially declared the world’s fastest machine on the Top500 June 2025 list. This is the first time in approximately nine years that a Chinese system has held the number one position. The previous record holder, the US El Capitan at Lawrence Livermore National Laboratory, has been surpassed — Lianshine is estimated to be around 20% faster.

    Key Fact: Lianshine can perform more than 2 quintillion calculations per second — that is 2 followed by 18 zeros, or 2,000,000,000,000,000,000 operations every single second.

    What Makes Lianshine Truly Special: The CPU-Only Architecture

    Most modern supercomputers rely on a combination of CPUs (Central Processing Units) for general calculations and GPUs (Graphics Processing Units) for massively parallel tasks. NVIDIA’s GPUs are the global standard for high-performance computing and AI workloads. But NVIDIA’s most powerful chips are precisely what the US has banned from export to China.

    China’s Lianshine engineers chose a completely different path. They built Lianshine entirely on CPUs — no GPUs at all. The machine contains approximately 14 million computing cores, housed across 90 large hardware cabinets, with chip designs developed entirely within China.

    Engineering Example: Think of it this way: most competing athletes use a specialized running shoe. China was banned from buying that shoe. So instead of complaining, China designed and built an entirely different type of footwear — and still won the race. That is essentially what Lianshine’s CPU-only architecture represents.

    Current Applications of Lianshine

    Scientists are already using Lianshine for:

    • Digital Earth modeling — simultaneously simulating weather systems, ocean currents, and polar ice caps
    • Human brain modeling — building complex neural simulations to advance neuroscience research
    • Climate research — long-range climate change projections

    What Does This Mean for the US-China Tech Race?

    American experts are now openly debating what Lianshine reveals about the effectiveness of US tech sanctions. Several analysts, speaking to The New York Times, have suggested that China’s ability to build the world’s fastest supercomputer without advanced GPUs shows that it can continue to find workarounds to US export controls.

    In the AI race, Anthropic CEO Dario Amodei has estimated that China’s AI capabilities are only 6 to 12 months behind the US — a gap that has been narrowing steadily. To understand how AI models are evaluated globally, you can refer to Chatbot Arena’s AI leaderboard, which tracks the performance of AI systems worldwide.

    Meanwhile, the geopolitical dimension is sharpening. When Donald Trump visited China and met with Xi Jinping, the two sides reportedly reached an informal understanding: the US would ease some chip-related restrictions in exchange for China moderating its stance on Taiwan and providing access to rare earth minerals — critical materials that China dominates globally and that are essential for chip manufacturing. China had leverage precisely because of its technological progress. Nations that hold strong cards negotiate from strength.

    Geopolitical Example: China’s rare earth dominance — it controls an estimated 60–70% of global rare earth production, according to the US Geological Survey — gives it enormous leverage in any tech trade negotiation, much like OPEC’s oil leverage in the 1970s reshaped global economics.

    The story of Lianshine is ultimately a story about strategic patience, self-reliance, and the unintended consequences of sanctions. The US sought to contain China’s technological rise. Instead, it pushed China to develop capabilities it might never have built otherwise. Whether this changes the balance of power in AI, defense, and computing over the next decade remains to be seen — but the race is far closer than it was even five years ago.

    Frequently Asked Questions (FAQ)

    What is China’s new supercomputer called?

    China’s new supercomputer is called Lianshine. It topped the global Top500 rankings on June 23, 2025, making it officially the world’s fastest supercomputer — the first Chinese machine to hold this title in approximately nine years.

    How fast is the Lianshine supercomputer?

    Lianshine can perform more than 2 quintillion calculations per second — that is 2 followed by 18 zeros (2,000,000,000,000,000,000 operations/second). It is estimated to be approximately 20% faster than the previous record holder, the US El Capitan supercomputer.

    Does Lianshine use NVIDIA GPUs?

    No. Unlike virtually every other top-ranked supercomputer, Lianshine runs entirely on CPUs (Central Processing Units) — no NVIDIA or any other GPUs. This is a remarkable engineering achievement, as GPUs are generally considered essential for top supercomputing performance. It also means Lianshine is entirely unaffected by US GPU export restrictions.

    Why did the US impose chip sanctions on China?

    The US government determined that advanced supercomputers could be used by China for nuclear weapon simulation, hypersonic missile development, and other military programs. Starting with the Obama administration’s 2015 Entity List additions and significantly strengthened under President Biden, the US has restricted advanced GPU and chip-manufacturing equipment exports to China.

    When did China build its first supercomputer?

    China completed its first supercomputer, Yinhe-1 (Galaxy-1), in December 1983. The project was initiated after Deng Xiaoping declared in 1978 that China could not achieve its Four Modernizations — Agriculture, Industry, National Defense, and Science & Technology — without supercomputers.

    Is China ahead of the US in AI as well?

    Not yet, but the gap is closing rapidly. Anthropic CEO Dario Amodei estimated in mid-2025 that China’s most advanced AI models are approximately 6 to 12 months behind the best US models. Given the pace of progress, many analysts believe this gap could narrow further — or disappear — within a few years.

    What is the Top500 list?

    The Top500 list is a semi-annual ranking — published every June and November — of the 500 most powerful non-distributed computer systems in the world. Performance is measured using the LINPACK benchmark, which tests how quickly a system can solve a dense system of linear equations. It is widely regarded as the authoritative global standard for supercomputing performance.

     

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