• Home »
• Lists »
• Top500 »
• June 2026 »
• Highlights

Highlights - June 2026

This is the 67th edition of the TOP500.

Here is a summary of the system in the Top 10:

• LineShine is the new No. 1 system on the TOP500. It is installed at the National Supercomputing Centre in Shenzhen (NSCS), China, and was built by the Shenzhen Cloud Computing Center. It achieved 2.198 Exaflop/s on the HPL benchmark using 13,789,440 cores. The system is based on the custom LingKun platform with LX2 304C 1.55GHz processors, the proprietary LingQi interconnect, and Kylin OS. LineShine also leads the HPCG ranking with 22.00 Petaflop/s.
• The El Capitan system at the Lawrence Livermore National Laboratory, California, USA, is the No. 2 system on the TOP500. The HPE Cray EX255a system was measured with 1.809 Exaflop/s on the HPL benchmark. El Capitan has 11,340,000 cores and is based on AMD 4th generation EPYC™ processors with 24 cores at 1.8 GHz and AMD Instinct™ MI300A accelerators. It uses the Cray Slingshot 11 network for data transfer and achieves an energy efficiency of 60.94 Gigaflops/watt. The system is now No. 2 on the HPCG benchmark ranking with 17.41 Petaflop/s.
• Frontier is the No. 3 system in the TOP500. It is installed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, where it is operated for the Department of Energy (DOE). It has achieved 1.353 Exaflop/s using 9,066,176 cores. The HPE Cray EX architecture combines 3rd Gen AMD EPYC™ CPUs optimized for HPC and AI, with AMD Instinct™ MI250X accelerators, and a Slingshot-11 interconnect.
• Aurora is the No. 4 system with a HPL score of 1.012 Exaflop/s. It is installed at the Argonne Leadership Computing Facility, Illinois, USA, where it is also operated for the Department of Energy (DOE). The Intel system is based on HPE Cray EX - Intel Exascale Compute Blades. It uses Intel Xeon CPU Max Series processors, Intel Data Center GPU Max Series accelerators, and a Slingshot-11 interconnect.
• JUPITER Booster is the No. 5 system. It is installed at EuroHPC/FZJ in Jülich, Germany, where it is operated by the Jülich Supercomputing Centre. It is based on Eviden's BullSequana XH3000 direct liquid-cooled architecture, which utilizes Grace Hopper Superchips. It remains measured at 1.000 Exaflop/s, the first Exascale system in Europe.

Rank	Site	System	Cores	Rmax (TFlop/s)	Rpeak (TFlop/s)	Power (kW)
1	National Supercomputing Centre in Shenzhen (NSCS) China	LineShine - LingKun, LX2 304C 1.55GHz, LingQi, Kylin OS Shenzhen Cloud Computing Center Co., Ltd.	13,789,440	2,198.40	2,735.82	42,220
2	DOE/NNSA/LLNL United States	El Capitan - HPE Cray EX255a, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Slingshot-11, TOSS HPE	11,340,000	1,809.00	2,821.10	29,685
3	DOE/SC/Oak Ridge National Laboratory United States	Frontier - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11, HPE Cray OS HPE	9,066,176	1,353.00	2,055.72	24,607
4	DOE/SC/Argonne National Laboratory United States	Aurora - HPE Cray EX - Intel Exascale Compute Blade, Xeon CPU Max 9470 52C 2.4GHz, Intel Data Center GPU Max, Slingshot-11 Intel	9,264,128	1,012.00	1,980.01	38,698
5	EuroHPC/FZJ Germany	JUPITER Booster - BullSequana XH3000, GH Superchip 72C 3GHz, NVIDIA GH200 Superchip, Quad-Rail NVIDIA InfiniBand NDR200, RedHat Enterprise Linux Bull	4,801,344	1,000.00	1,226.28	15,794
6	Eni S.p.A. Italy	HPC7 - HPE Cray EX255a, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Slingshot-11, RHEL 9 HPE	3,461,472	571.50	861.13	8,735
7	Microsoft Azure United States	Eagle - Microsoft NDv5, Xeon Platinum 8480C 48C 2GHz, NVIDIA H100, NVIDIA Infiniband NDR Microsoft Azure	2,073,600	561.20	846.84
8	Eni S.p.A. Italy	HPC6 - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11, RHEL 8.9 HPE	3,143,520	477.90	606.97	8,461
9	RIKEN Center for Computational Science Japan	Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D Fujitsu	7,630,848	442.01	537.21	29,899
10	Swiss National Supercomputing Centre (CSCS) Switzerland	Alps - HPE Cray EX254n, NVIDIA Grace 72C 3.1GHz, NVIDIA GH200 Superchip, Slingshot-11, HPE Cray OS HPE	2,121,600	434.90	574.84	7,124

• HPC7, the No. 6 system, is a new entry installed at the Eni S.p.A. center in Italy. It is another HPE Cray EX255a system, pairing AMD 4th Gen EPYC™ 24C 1.8GHz processors with AMD Instinct™ MI300A accelerators over a Slingshot-11 interconnect. It achieved 571.5 Petaflop/s, making it the most powerful system in Eni's HPC fleet.
• Eagle, the No. 7 system, is installed by Microsoft in its Azure cloud. This Microsoft NDv5 system is based on Xeon Platinum 8480C processors and NVIDIA H100 accelerators and achieved an HPL score of 561.2 Petaflop/s.
• HPC6, the No. 8 system, is installed at the Eni S.p.A. center in Ferrera Erbognone, Italy. It is an HPE Cray EX235a system with 3rd Gen AMD EPYC™ CPUs optimized for HPC and AI, with AMD Instinct™ MI250X accelerators, and a Slingshot-11 interconnect. It achieved 477.9 Petaflop/s.
• Fugaku, the No. 9 system, is installed at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan. It has 7,630,848 cores, which allowed it to achieve an HPL benchmark score of 442 Petaflop/s. It is now the third fastest system on the HPCG benchmark with 16 Petaflop/s, behind LineShine and El Capitan.
• The Alps system, installed at the Swiss National Supercomputing Centre (CSCS) in Switzerland, is at No. 10. It is an HPE Cray EX254n system with NVIDIA Grace 72C and NVIDIA GH200 Superchip and a Slingshot-11 interconnect. It achieved 434.9 Petaflop/s.

Highlights from the List

• A total of 277 systems on the list are using accelerator/co-processor technology, up from 255 six months ago. 107 of these use NVIDIA Hopper chips, 62 use NVIDIA Ampere, and 32 systems with AMD Instinct.

• Intel continues to provide the processors for the largest share (53.00 percent) of TOP500 systems, down from 57.00 % six months ago. 192 (38.40 %) of the systems in the current list used AMD processors, up from 35.60 % six months ago.

• The entry level to the list moved up to the 2.66 Pflop/s mark on the Linpack benchmark.

• The last system on the newest list was listed at position 475 in the previous TOP500.

• Total combined performance of all 500 exceeded the Exaflop barrier with now 18.74 exaflop/s (Eflop/s) up from 14.99 exaflop/s (Eflop/s) 6 months ago.

• The entry point for the TOP100 increased to 21.85 Pflop/s.

• The average concurrency level in the TOP500 is 305,354 cores per system up from 270,522 six months ago.

General Trends

Installations by countries/regions:

HPC manufacturer:

Interconnect Technologies:

Processor Technologies:

Green500

In the Green500 the systems of the TOP500 are ranked by how much computational performance they deliver on the HPL benchmark per Watt of electrical power consumed. This electrical power efficiency is measured in Gigaflops/Watt. This ranking is not driven by the size of a system but by its technology, and the ranking order looks therefore very different from the TOP500. The computational efficiency of a system tends to slightly decrease with system size, which among technologically identical systems gives smaller systems the advantage.

This edition of the Green500 sees three systems with identical architecture in the top 3 positions. They are all BullSequana XH3000 systems using the Grace Hopper Superchip 72C 3GHz, NVIDIA GH200 Superchip, and Quad-Rail NVIDIA InfiniBand NDR200. All three systems debuted on the previous Green500 list six months ago, and the order among them is unchanged this edition.

• KAIROS, a BullSequana XH3000 system at the CALMIP / University of Toulouse – CNRS center, retains the No. 1 spot on the Green500 with an energy efficiency of 73.28 Gigaflops/Watt. It achieved 3.046 Petaflop/s on the HPL benchmark. The system uses the Grace Hopper Superchip 72C 3GHz, NVIDIA GH200 Superchip, and Quad-Rail NVIDIA InfiniBand NDR200.
• ROMEO-2025 holds the No. 2 spot, as it did last edition. The system is installed at the ROMEO HPC Center - Champagne-Ardenne in France and has 47,328 total cores. With an HPL benchmark of 9.863 Petaflop/s, it achieved an efficiency of 70.91 Gigaflops/Watt. The architecture is identical to the No. 1 system KAIROS; ROMEO-2025 is substantially larger, which results in its energy efficiency being slightly lower.
• The Levante GPU extension system at DKRZ - Deutsches Klimarechenzentrum in Germany again holds the No. 3 spot. It also has an identical architecture to the No. 1 and No. 2 systems and achieved 6.747 Petaflop/s HPL performance and an efficiency of 69.43 Gigaflops/Watt.

Here are the top 10 of the Green500 ranking:

Rank	TOP500 Rank	System	Cores	Rmax (PFlop/s)	Power (kW)	Energy Efficiency (GFlops/watts)
1	446	KAIROS - BullSequana XH3000, GH Superchip 72C 3GHz, NVIDIA GH200 Superchip, Quad-Rail NVIDIA InfiniBand NDR200, RedHat Enterprise Linux , Bull CALMIP / University of Toulouse - CNRS France	13,056	3.05	46	73.282
2	192	ROMEO-2025 - BullSequana XH3000, Grace Hopper Superchip 72C 3GHz, NVIDIA GH200 Superchip, Quad-Rail NVIDIA InfiniBand NDR200, Red Hat Enterprise Linux , Bull ROMEO HPC Center - Champagne-Ardenne France	47,328	9.86	160	70.912
3	251	Levante GPU extension - BullSequana XH3000, GH Superchip 72C 3GHz, NVIDIA GH200 Superchip, Quad-Rail NVIDIA InfiniBand NDR200, RedHat Enterprise Linux , Bull DKRZ - Deutsches Klimarechenzentrum Germany	35,904	6.75	110	69.426
4	239	Isambard-AI phase 1 - HPE Cray EX254n, NVIDIA Grace 72C 3.1GHz, NVIDIA GH200 Superchip, Slingshot-11 , HPE University of Bristol United Kingdom	34,272	7.42	117	68.835
5	313	Otus (GPU only) - ThinkSystem SD665-N V3, AMD EPYC 9655 96C 2.6GHz, NVIDIA H100 SXM5 80GB, Infiniband NDR, Rocky Linux 9.4 , Lenovo Universitaet Paderborn - PC2 Germany	19,440	4.66		68.177
6	88	Capella - Lenovo ThinkSystem SD665-N V3, AMD EPYC 9334 32C 2.7GHz, Nvidia H100 SXM5 94Gb, Infiniband NDR200, AlmaLinux 9.4 , MEGWARE TU Dresden, ZIH Germany	85,248	24.06	445	68.053
7	364	SSC-24 Energy Module - HPE Cray XD670, Xeon Gold 6430 32C 2.1GHz, NVIDIA H100 SXM5 80GB, Infiniband NDR400, RHEL 9.2 , HPE Samsung Electronics South Korea	11,200	3.82	69	67.251
8	116	Helios GPU - HPE Cray EX254n, NVIDIA Grace 72C 3.1GHz, NVIDIA GH200 Superchip, Slingshot-11 , HPE Cyfronet Poland	89,760	19.14	317	66.948
9	452	AMD Ouranos - BullSequana XH3000, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Infiniband NDR200, RedHat Enterprise Linux , Bull Atos France	16,632	2.99	48	66.464
10	85	Portage - HPE Cray EX255a, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Slingshot-11, RHEL 8.9 , HPE Hewlett Packard Enterprise United States	129,024	24.50	370	66.277

The data collection and curation of the Green500 project has been integrated with the TOP500 project. This allows submissions of all data through a single webpage at http://top500.org/submit.

HPCG Results

The TOP500 list now includes the High-Performance Conjugate Gradient (HPCG) Benchmark results.

• LineShine is the new leader on the HPCG ranking with 22.00 HPCG-Petaflop/s.
• El Capitan moves to second position on the HPCG benchmark with 17.41 HPCG-Petaflop/s.
• Supercomputer Fugaku is now in third position with 16.00 HPCG-Petaflop/s.
• Frontier at ORNL is in fourth position with 14.05 HPCG-Petaflop/s.
• The new HPC7 system takes fifth position with 5.95 HPCG-Petaflop/s, pushing Aurora to sixth with 5.61 HPCG-Petaflop/s.
• The JUPITER Booster system has not submitted an HPCG result yet.

Rank	TOP500 Rank	System	Cores	Rmax (PFlop/s)	HPCG (PFlop/s)
1	1	LineShine - LingKun, LX2 304C 1.55GHz, LingQi, Kylin OS , National Supercomputing Centre in Shenzhen (NSCS) China	13,789,440	2,198.40	22.00
2	2	El Capitan - HPE Cray EX255a, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Slingshot-11, TOSS , DOE/NNSA/LLNL United States	11,340,000	1,809.00	17.41
3	9	Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D , RIKEN Center for Computational Science Japan	7,630,848	442.01	16.00
4	3	Frontier - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11, HPE Cray OS , DOE/SC/Oak Ridge National Laboratory United States	9,066,176	1,353.00	14.05
5	6	HPC7 - HPE Cray EX255a, AMD 4th Gen EPYC 24C 1.8GHz, AMD Instinct MI300A, Slingshot-11, RHEL 9 , Eni S.p.A. Italy	3,461,472	571.50	5.95
6	4	Aurora - HPE Cray EX - Intel Exascale Compute Blade, Xeon CPU Max 9470 52C 2.4GHz, Intel Data Center GPU Max, Slingshot-11 , DOE/SC/Argonne National Laboratory United States	9,264,128	1,012.00	5.61
7	11	LUMI - HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11 , EuroHPC/CSC Finland	2,752,704	379.70	4.59
8	21	CHIE-4 - NVIDIA DGX B200, Xeon Platinum 8570 56C 2.1GHz, NVIDIA B200 SXM 180GB, Infiniband NDR400, Ubuntu 24.04.2 LTS , SoftBank Corp. Japan	662,256	135.40	3.76
9	10	Alps - HPE Cray EX254n, NVIDIA Grace 72C 3.1GHz, NVIDIA GH200 Superchip, Slingshot-11, HPE Cray OS , Swiss National Supercomputing Centre (CSCS) Switzerland	2,121,600	434.90	3.67
10	12	Leonardo - BullSequana XH2000, Xeon Platinum 8358 32C 2.6GHz, NVIDIA A100 SXM4 64 GB, Quad-rail NVIDIA HDR100 Infiniband , EuroHPC/CINECA Italy	1,824,768	241.20	3.11

HPL-MxP Results

On the HPL-MxP benchmark, which measures performance for mixed-precision calculations, the El Capitan system achieved 16.7 Exaflop/s and remains the No. 1 system.

The HPL-MxP benchmark highlights the use of mixed-precision computations. Traditional HPC uses 64-bit floating-point computations. Today, we see hardware with various levels of floating- point precision, 32-bit, 16-bit, and even 8-bit. The HPL-MxP benchmark demonstrates that by using mixed-precision during the computation, much higher performance is possible; and using mathematical techniques, the same accuracy can be computed with the mixed-precision technique when compared with straight 64-bit precision.

• This year’s winner of the HPL-MxP category is the El Capitan system with 16.7 Exaflop/s.
• Aurora is in second place with an 11.6 Exaflop/s score on the HPL-MxP benchmark.
• Frontier remains in third place with a score of 11.4 Exaflop/s.
• LineShine came in fourth place with 7.92 Exaflop/s.
• The Softbank system achieved an impressive 24.4 speedup over HPL on the HPL-MxP benchmark.

About the TOP500 List

The first version of what became today’s TOP500 list started as an exercise for a small conference in Germany in June 1993. Out of curiosity, the authors decided to revisit the list in November 1993 to see how things had changed. About that time they realized they might be onto something and decided to continue compiling the list, which is now a much-anticipated, much-watched and much-debated twice-yearly event.