China's LineShine Supercomputer Tops TOP500 List as First CPU-Only Exaflop System

LineShine overtook El Capitan to become the #1 system on the TOP500 in the June 2026 edition, marking China’s return to the top spot after three years.
LineShine ranked fourth on a benchmark that simulates AI workloads, underscoring that leading on traditional CPU-focused tests does not guarantee dominance in AI-specific tasks.
LineShine is a CPU-only system built around 20,480 compute nodes and Armv9-based LX2 processors, totaling about 2.45 million CPU cores; each processor has 304 cores, with 32GB on-package high-bandwidth memory and up to 256GB of off-package DDR5 memory.
LineShine relies on a domestic stack, using China’s LingKun platform with LingQi interconnect and the Kylin operating system, showcasing a self-contained HPC solution not dependent on Western accelerators.
The TOP500 landscape now features five exascale systems (LineShine, El Capitan, Frontier, Aurora, and Europe’s JUPITER Booster), with total HPC performance rising and accelerator adoption increasing to 277 systems.
China has reclaimed the title of world's fastest supercomputer. The LineShine machine at the National Supercomputing Centre in Shenzhen topped the June 2026 TOP500 list, unseating the U.S. Department of Energy's El Capitan TOP500. It is the first time China has held the top spot in three years.
The achievement is striking because LineShine runs entirely on domestic chips. It uses no Nvidia or AMD hardware. Instead, it relies on Chinese-made Armv9-based LX2 processors — a direct result of years of U.S. export restrictions cutting China off from high-end Western accelerators Yahoo Finance.
LineShine is built around 20,480 compute nodes connected by a proprietary LingQi interconnect. Each LX2 chip packs 304 CPU cores based on the Armv9 architecture. Together, the system totals roughly 2.45 million cores Technology.org. Each processor includes 32GB of on-package high-bandwidth memory, plus up to 256GB of off-package DDR5 memory.
The system runs Kylin OS, a hardened domestic Linux build. The NSCC-SZ director said LineShine "represents the culmination of a decade-long pursuit of a fully domestic compute stack, from the instruction set to the cooling architecture" Xinhua News Agency. There is no U.S.-origin hardware anywhere in the machine.
LineShine tops the HPL benchmark — the traditional measure of raw computing speed. But it ranks only fourth on HPL-MxP, a test that simulates AI workloads NDTV Profit. That gap matters. HPL-MxP better reflects the kind of performance needed to train large language models and run AI applications.
Analyst James Watkins of Intersect360 put it bluntly: "China has built a massive calculator for traditional physics, but the U.S. still holds the crown for the AI supercomputer that will drive LLM breakthroughs" Bloomberg Technology. Jack Dongarra, who helps run the TOP500 list, called LineShine "a bold architectural statement that diverges from the GPU-heavy trend seen in the U.S. and Europe" SC Media.
Since 2022, the U.S. has blocked China from buying high-end GPUs like Nvidia's H100 and B200. That forced Chinese engineers to lean heavily on many-core CPU designs instead Yahoo Finance. The result is a system that is, as some analysts describe it, "sanction-proof" — it does not rely on any restricted Western parts.
Dr. Elena Rossi of the Center for a New American Security called the ranking a "geopolitical signal." By using the Armv9 instruction set — a more open standard than proprietary Nvidia architectures — China is showing it can build world-class hardware on its own terms Financial Times. The LX2 chip is believed to be made at 5nm or 7nm, suggesting China has found ways to maintain advanced chip production despite restrictions.
The world now has five verified exascale supercomputers: LineShine, El Capitan, Frontier, Aurora, and Europe's JUPITER Booster Technology.org. An exascale system can perform at least one quintillion calculations per second. The total number of systems using accelerators on the TOP500 rose to 277.
LineShine's CPU-heavy design makes it well-suited for physics simulations, climate modeling, and cryptanalysis — but less efficient for generative AI training. That has raised alarms in Washington. The U.S. push to adopt post-quantum cryptography by 2031 gains new urgency, since a machine with 2.45 million cores could theoretically speed up attacks on older encryption standards Defense One. Congress is already discussing a follow-up to the CHIPS Act to fund the next generation of computing.
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