Supercomputers are the engines behind modern scientific discovery, artificial intelligence development, climate modeling, space research, and national security simulations. The fastest supercomputers in the world represent the peak of engineering, combining massive computing power with advanced processors, energy-efficient architecture, and high-speed networking. Countries and research institutions compete to build faster systems because higher performance directly enables faster innovation and more accurate simulations. Tracking global rankings helps researchers, policymakers, and technology enthusiasts understand where computational leadership stands and how quickly the field is advancing worldwide.
Behind every record-breaking supercomputer is a mix of cutting-edge hardware and optimized software working together at enormous scale. Performance is commonly measured in PFLOPS, or quadrillions of floating-point operations per second, which reflects how many mathematical calculations a machine can perform in one second. Rankings often change as new systems come online or existing machines receive upgrades. Recent years have seen rapid growth in performance driven by accelerator technologies, energy-efficient processors, and specialized architectures designed for artificial intelligence and scientific workloads. The competition is truly global, with North America, Europe, and Asia all contributing major installations.
Top 10 Fastest Supercomputers in the World 2026
- El Capitan: 1,809 PFLOPS
- Frontier: 1,353 PFLOPS
- Aurora: 1,012 PFLOPS
- Eagle: 561.20 PFLOPS
- HPC6: 477.90 PFLOPS
- Fugaku: 442.01 PFLOPS
- Alps: 434.90 PFLOPS
- LUMI: 379.70 PFLOPS
- Leonardo: 241.20 PFLOPS
- Summit: 148.60 PFLOPS
The top tier of global supercomputing is dominated by extremely powerful machines operating well beyond the one-exaflop level. El Capitan leads the rankings with a significant margin, followed closely by Frontier and Aurora, all of which surpass 1,000 PFLOPS. This shows how quickly exascale computing has moved from experimental to operational use. The next group, including Eagle, HPC6, Fugaku, and Alps, demonstrates strong performance clustering in the 400–560 PFLOPS range. European systems such as LUMI and Leonardo also remain competitive, highlighting balanced global investment in high-performance computing infrastructure.
Full Data Table
| # | Supercomputer | Country | Performance (PFLOPS) |
|---|---|---|---|
| 1 | El Capitan | United States | 1,809.00 |
| 2 | Frontier | United States | 1,353.00 |
| 3 | Aurora | United States | 1,012.00 |
| 4 | Eagle | United States | 561.2 |
| 5 | HPC6 | Italy | 477.9 |
| 6 | Fugaku | Japan | 442.01 |
| 7 | Alps | Switzerland | 434.9 |
| 8 | LUMI | Finland | 379.7 |
| 9 | Leonardo | Italy | 241.2 |
| 10 | Summit | United States | 148.6 |
| 11 | Sierra | United States | 125.7 |
| 12 | Sunway TaihuLight | China | 93 |
| 13 | Selene | United States | 79.2 |
| 14 | JUWELS Booster Module | Germany | 71.4 |
| 15 | Perlmutter | United States | 70.87 |
| 16 | Tianhe-2A | China | 61.4 |
| 17 | SuperMUC-NG | Germany | 26.9 |
| 18 | Lassen | United States | 23.2 |
| 19 | Piz Daint | Switzerland | 21.2 |
| 20 | Trinity | United States | 20.1 |
| 21 | Stampede2 | United States | 18 |
| 22 | Titan | United States | 17.59 |
| 23 | Cori | United States | 14 |
| 24 | Tianhe-1A | China | 13.9 |
| 25 | Blue Waters | United States | 13.34 |
| 26 | K Computer | Japan | 10.51 |
| 27 | Mira | United States | 8.59 |
| 28 | Hazel Hen | Germany | 7.42 |
| 29 | Shaheen II | Saudi Arabia | 7.2 |
| 30 | Oakforest-PACS | Japan | 7 |
| 31 | ABCI | Japan | 19.88 |
| 32 | Gyoukou | Japan | 19.14 |
| 33 | MareNostrum 4 | Spain | 13.7 |
| 34 | Tsubame 3.0 | Japan | 8.1 |
| 35 | Shaheen | Saudi Arabia | 5.54 |
| 36 | Shaheen III | Saudi Arabia | 4.8 |
| 37 | Tianhe-1 | China | 4.7 |
| 38 | Tera-1000 | France | 4.2 |
| 39 | JUQUEEN | Germany | 3.8 |
| 40 | Vulcan | United States | 3.5 |
| 41 | Pleiades | United States | 5.95 |
| 42 | Stampede | United States | 5.17 |
| 43 | Jaguar | United States | 2.33 |
| 44 | Roadrunner | United States | 1.38 |
| 45 | Lomonosov | Russia | 1.37 |
| 46 | Nebulae | China | 1.27 |
| 47 | Tsubame 2.0 | Japan | 1.19 |
| 48 | Kraken | United States | 1.17 |
| 49 | MareNostrum 3 | Spain | 1.1 |
| 50 | Blue Gene/L | United States | 0.6 |
Key Points
- The top three systems all exceed 1,000 PFLOPS, marking a clear transition into large-scale exascale computing.
- Performance drops sharply after the top three, showing a visible performance gap between ultra-elite systems and the rest of the field.
- The United States hosts multiple top-ranking machines, reinforcing its leadership in supercomputing capacity.
- European countries maintain strong representation through systems such as Eagle, Alps, LUMI, and Leonardo.
- Japan continues to remain competitive with Fugaku still ranking among the global leaders.
- Several systems cluster tightly between 400 and 560 PFLOPS, indicating intense competition in the high-performance tier.
- Legacy systems such as Summit remain relevant but are gradually being overtaken by newer architectures.
As computing demands continue to grow across science, healthcare, energy, and artificial intelligence, the race for faster supercomputers will only intensify. New architectures, improved cooling methods, and more efficient accelerators are expected to push performance even higher while controlling energy consumption. Global collaboration and competition will shape how these machines are deployed for research and economic development. The current rankings show that exascale performance is becoming more common, setting the stage for breakthroughs in simulation accuracy, data processing speed, and real-time modeling. In the coming years, the world’s fastest supercomputers will continue redefining what is computationally possible.
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