The TOP500 list is the world’s most authoritative ranking of supercomputers. Published twice a year since 1993, it ranks the 500 most powerful general-purpose supercomputers based on their performance on the High Performance LINPACK (HPL) benchmark, which measures how quickly they can solve complex mathematical calculations.
On the June 2026 TOP500 list, HPE-built systems have claimed 6 spots out of the top 10 list of the world’s fastest supercomputers and three of those are among the only five that are verified exascale supercomputers, and those are El Capitan at Lawrence Livermore National Laboratory, Frontier at Oak Ridge National Laboratory, and Aurora at Argonne National Laboratory.
HPE have designed and built systems that deliver more than 11.4 exaflops collectively. HPE has recently introduced new supercomputing programming software to HPE ProLiant Compute servers, and multi-tenant capabilities within networking and storage for high-performance computing, making the technology more accessible for everyday use for end users.
The TOP500 list names 6 HPE-built systems among the 10 most powerful supercomputers in the world, including:
No. 2 – El Capitan
Lawrence Livermore National Laboratory’s (LLNL) El Capitan at 1.809 exaflops is the world’s second fastest supercomputer. El Capitan also ranks No. 1 on the HPL-MxP benchmark that measures mixed-precision calculations typical in systems that run both traditional HPC and AI workloads. El Capitan is built on the HPE Cray Supercomputing EX system, powered by AMD. The system enables new milestones in extreme-scale modeling and simulation, AI and emerging hybrid workflows. Recent work includes AI-enabled fusion target design studies using AI agents, the largest fluid dynamics simulation ever performed, and a 2025 ACM Gordon Bell Prize-winning real-time tsunami early-warning framework developed by LLNL, the University of Texas at Austin and UC San Diego.
No. 3 – Frontier
Built for Oak Ridge National Laboratory (ORNL) in collaboration with AMD, Frontier takes the No. 3 rank on the latest TOP500 list with a performance of 1.353 exaflops. Frontier also ranks No. 2 on the HPL-MxP benchmark. As the first verified exascale system in 2022, Frontier continues to use its year-over-year performance to drive advancements in nuclear-specific AI models, jet engine performance and turbulent fluctuations.
No. 4 – Aurora
Delivering 1.012 exaflops, the HPE-built and Intel-powered Aurora supercomputer at Argonne National Laboratory ranks No. 3 on the HPL-MxP benchmark. The supercomputer empowers scientists with the ability of exascale speed to execute further scientific discovery, including greater understanding the plasma conditions to make fusion a practical energy source and testing whether dark energy may change over time, a possibility that could reshape the standard model of cosmology.
No. 6 – HPC7
Premiering on the TOP500 list and boasting a processing capacity of 571.5 petaflops to take the No. 6 spot, HPC7 supercomputer is a highly advanced system developed specifically for industrial applications for major energy tech company, Eni. Ranking as the highest performing enterprise system on this year’s list, HPC7 is used, among other things, to optimise the operations of industrial facilities, improve the accuracy of geological and fluid dynamic studies for CO2 storage, and to develop higher-performance batteries. Eni’s HPC7 will also enable AI implementation and the development of domain-specific models for the energy sector.
No. 8 – HPC6
Exhibiting 477.9 petaflops to take the No. 8 spot, HPC6 supercomputer is a highly advanced system for industrial applications used by Eni to improve the company’s operations.
No. 10 – Alps
Built for the Swiss National Supercomputing Centre, Alps utilises 434.9 petaflops to support large-scale high-performance computing and simulation workloads in fields such as health research, climate science, materials science and engineering. Alps also serves as the computational backbone of the Swiss AI Initiative, involving more than 1,200 researchers from institutions across Switzerland.
Sustainability
Making supercomputing more sustainable: 4 of the top 10 most energy-efficient supercomputers are HPE-built systems, and they are:
No. 4 – Isambard-AI: Built and managed by Bristol Centre for Supercomputing, a part of University of Bristol, Isambard-AI is the flagship compute for the UK Government’s AI Research Resource (AIRR), created to power the country’s cutting-edge AI development. The supercomputer utilizes HPE’s 100% fanless, direct liquid-cooling technology to deliver up to 90% reduction in cooling power consumption, contributing to a No. 2 ranking on the Green500 at its launch.
No. 7 – SSC-24 Energy Module: Built for Samsung Electronics, this supercomputer is the most energy-efficient enterprise-owned system.
No. 8 – Helios GPU: Created for the Academic Computer Centre Cyfronet AGH, Helios GPU remains Poland’s fastest supercomputer, ranked at No. 116 on the TOP500.
No. 10 – Portage: A benchmarking system designed by HPE to evaluate real-world HPC and AI workloads for HPE and its clients, Portage is ranked No. 85 on the TOP500 list.
And the top spot goes to?
On the 67th edition of the TOP500, LineShine debuts as the new No. 1 system, ending El Capitan’s run atop the list and becoming the fifth Exascale system overall. It is the first China-based system to lead the TOP500 since Sunway TaihuLight in 2017.
LineShine is installed at the National Supercomputing Centre in Shenzhen (NSCS), China, and was built by the Shenzhen Cloud Computing Center. It submitted a debut measurement of 2.198 Exaflop/s on the HPL benchmark, more than 20% ahead of the No. 2 system, using 13,789,440 cores. The system is based on the custom “LingKun” platform with 304-core LX2 processors running at 1.55 GHz, the proprietary LingQi interconnect, and Kylin OS. LineShine also takes over the No. 1 spot on the HPCG ranking with 22.00 Petaflop/s. On the HPL-MxP benchmark, which measures mixed-precision performance, LineShine debuts in fourth at 7.92 Exaflop/s with a more modest 3.6x speedup, consistent with its CPU-only design.
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