What Is the Fastest Supercomputer in the World?


Supercomputers play a vital role in advancing science, technology, and innovation across a wide range of applications in science, academia, military and industry. And the rise of artificial intelligence only makes the demand for them - from countries and companies - even higher. Let's delve in to the fastest in the world in 2023.

Supercomputers are the peak of computing technology, capable of processing vast amounts of data and performing complex calculations at rapid speeds. These high-performance machines are used for a wide range of applications, from scientific research to national security simulations, climate modeling, industrial design, and artificial intelligence (AI).

The escalating demand for massive volumes of cloud-based computing power is bringing supercomputing technologies into hyperscale data centers. And the rapid adoption of AI will likely see more supercomputers being built worldwide.

For instance, the UK government has just announced plans to invest £900 million in a new supercomputer that will be one of the most powerful in Europe to drive UK research and innovation into the potential and safe use of AI technology.

The cluster will comprise thousands of graphics processing units (GPUs) to train the large language models (LLMs) that drive AI research and development today.

Meanwhile, the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University is building what it says will be the world’s first supercomputer capable of simulating networks at the scale of the human brain.

The DeepSouth supercomputer will use a neuromorphic system that mimics biological processes and emulates large networks of spiking neurons at 228 trillion synaptic operations per second — which is close to the estimated rate of operations in the human brain.


The platform will be designed to facilitate advances in smart devices, such as mobile phones and Internet of Things (IoT) sensors for manufacturing and agriculture, and create less power-intensive and smarter AI applications.

As more countries build large-scale supercomputers with the capacity to support AI development, it raises the question, where are the world’s fastest supercomputers, and how many are there?

Defining Supercomputers

Before delving into the numbers, it’s important to understand what sets a supercomputer apart from a high-performance computer.

Supercomputers are typically characterized by their exceptional processing power. Their speed is measured in floating-point operations per second (flops), which refers to how many arithmetic calculations they can perform. While there is no strict threshold that separates a supercomputer from a regular high-performance computing (HPC) system, supercomputers are generally capable of performing at speeds measured in teraFLOPs (trillions) and petaFLOPs (quadrillions).

Supercomputers are used for a wide range of applications by governments, research institutions, and industrial corporations. They range in size from super-large scale to small-scale devices. There are so many supercomputers today that it is difficult to pinpoint the exact number. In addition, some systems are not known publicly for national security, geopolitical or competitive reasons.

However, the TOP500 project ranks the world’s 500 most powerful supercomputers biannually based on their performance on the Linpack benchmark, which measures the speed at which a computer can solve a system of linear equations. This provides a standardized way to compare supercomputer capabilities.

Where Are the World’s Fastest Supercomputers?

The 500 fastest supercomputers are spread across 35 countries, of which 29 countries have more than one system. From November 2017 until November 2022, China had the highest number of supercomputers.

But as of June 2023, the US has resumed the top position on the Top500 list, and the number has since increased from 150 supercomputers to 161 in November. China has 104 and is followed by Germany, which has 36 supercomputers. Japan and France round out the top five, with the UK, Canada, Italy, South Korea, the Netherlands and Canada completing the top 10.

The US is also the leader in terms of performance, measured in maximal Linpack performance achieved (Rmax) at 3,725,851 teraFLOPS (TFLOPS). That is well ahead of China’s 407,239 TFLOPS.

The Frontier system at the Oak Ridge National Laboratory (ORNL) in Tennessee, US, is the only exascale machine reported with a High-Performance Linpack (HPL) exceeding one Exaflop per second (1 EFLOP/s).

The system is based on the HPE Cray EX235a architecture and is equipped with AMD EPYC 64C 2GHz processors and 8,699,904 total cores. Frontier increased its HPL from 1.02 EFLOP/s in November 2022 to 1.194 EFLOP/s in June, a 17% increase. Exascale was seen as only an aspirational goal just a few years ago, indicating the rapid pace of technology development.

The fastest supercomputer was previously the 442 PFLOP/s Fugaku system at the Riken Center for Computational Science (R-CCS) in Kobe, Japan, from June 2020 until June 2022. Fugaku is powered by Fujitsu’s 48-core A64FX system on chip (SoC), making it the first number one system to be powered by ARM processors.

Rank System Cores Rmax (PFlop/s) Rpeak (PFlop/s) Power (kW)
1 Frontier – HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11, HPE

DOE/SC/Oak Ridge National Laboratory

United States

8,699,904 1,194.00 1,679.82 22,703
2 Aurora – HPE Cray EX – Intel Exascale Compute Blade, Xeon CPU Max 9470 52C 2.4GHz, Intel Data Center GPU Max, Slingshot-11, Intel

DOE/SC/Argonne National Laboratory

United States

4,742,808 585.34 1,059.33 24,687
3 Eagle – Microsoft NDv5, Xeon Platinum 8480C 48C 2GHz, NVIDIA H100, NVIDIA Infiniband NDR, Microsoft

Microsoft Azure

United States

1,123,200 561.20 846.84
4 Supercomputer Fugaku – Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D, Fujitsu

RIKEN Center for Computational Science


7,630,848 442.01 537.21 29,899
5 LUMI – HPE Cray EX235a, AMD Optimized 3rd Generation EPYC 64C 2GHz, AMD Instinct MI250X, Slingshot-11, HPE



2,752,704 379.70 531.51 7,107
6 Leonardo – BullSequana XH2000, Xeon Platinum 8358 32C 2.6GHz, NVIDIA A100 SXM4 64 GB, Quad-rail NVIDIA HDR100 Infiniband, EVIDEN



1,824,768 238.70 304.47 7,404
7 Summit – IBM Power System AC922, IBM POWER9 22C 3.07GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband, IBM

DOE/SC/Oak Ridge National Laboratory

United States

2,414,592 148.60 200.79 10,096
8 MareNostrum 5 ACC – BullSequana XH3000, Xeon Platinum 8460Y+ 40C 2.3GHz, NVIDIA H100 64GB, Infiniband NDR200, EVIDEN



680,960 138.20 265.57 2,560
9 Eos NVIDIA DGX SuperPOD – NVIDIA DGX H100, Xeon Platinum 8480C 56C 3.8GHz, NVIDIA H100, Infiniband NDR400, Nvidia

NVIDIA Corporation

United States

485,888 121.40 188.65
10 Sierra – IBM Power System AC922, IBM POWER9 22C 3.1GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband, IBM / NVIDIA / Mellanox


United States

1,572,480 94.64 125.71 7,438

In second place, the new Aurora system at the Argonne Leadership Computing Facility in Illinois, US, which has a capacity of 585.34 PFLOP/s.

It is worth noting that Aurora’s numbers reflect only half of the planned final system as it is still in the process of being commissioned. Once fully up and running, it will reportedly exceed Frontier with a peak performance of 2 EFLOP/s.

Aurora is built by Intel based on the HPE Cray EX – Intel Exascale Compute Blade, which uses Intel Xeon CPU Max Series processors and Intel Data Center GPU Max Series accelerators, which communicate through HPE’s Slingshot-11 network interconnect.

Another new system named Eagle, installed in the Microsoft Azure Cloud in the US with a performance of 561.2 PFLOP/s, has taken the third spot. This is the highest rank a cloud system has ever reached on the TOP500 list, only two years after the first cloud system entered the list in 10th place.

The Summit supercomputer at ORNL held the top spot from June 2018 until November 2019 with a performance of 122.3 PFLOP/s and is now in the seventh position with an upgraded performance of 148.60 PFLOP/s. The Sunway TaihuLight supercomputer at the National Supercomputing Center in the city of Wuxi, China, was the fastest from June 2016 until November 2017 and now ranks eleventh with a speed of 93.01 PFLOP/s.

China’s supercomputer development has been affected by US sanctions on its access to semiconductor equipment and other advanced technologies that can have military or intelligence applications.

However, there are reports that China has other advanced supercomputers that are not benchmarked but are evident from scientific results published in research papers.

Power Requirements Drive Energy Efficiency Push

Supercomputers and HPCs face soaring energy costs, particularly as demand for resources for AI, machine learning, and high-performance data analytics (HPDA) rises. New central processing units (CPUs) and GPUs consume more power than older models. Concerns around carbon (CO2) emissions and government regulations are further driving moves towards energy efficiency and sustainability.

Published alongside the Top500 list, the Green500 list sorts the world’s most powerful supercomputers by their energy efficiency. The two most efficient supercomputers are in the US, followed by systems in France, Australia, and Sweden. Supercomputers in Spain, Finland, Germany, and South Korea contribute to the top 10.

The HPL performance of the top systems shows that vast power capability does not have to come at the expense of efficient energy use. For instance, the LUMI supercomputer in Finland is the fastest supercomputer in Europe and the fifth fastest globally, with an Rmax of 379.70 PFLOP/s.

The system, which has been fully operational since December 2022, is the seventh most efficient on the Green500 list, with an efficiency of 53.428 GFLOPs per watt.

LUMI is fully powered by CO2-free hydroelectricity and uses natural water-cooling systems to cool down its processors. In addition, all the waste heat it produces is reused to provide local district heating in its home city of Kajaani.

The Leonardo supercomputer in Italy is the sixth fastest in the world and the 18th most energy-efficient. All six of the supercomputers in the European High-Performance Computing (EuroHPC) Joint Undertaking (JU) are water-cooled to improve their energy efficiency and aim to operate in as sustainable a way as possible.

Meanwhile, the Frontier supercomputer in the US ranks as the eighth most energy efficient with a rating of 52.59 GFLOPs/watt despite its HPL score of 1.194 EFLOP/s.

The Bottom Line

Supercomputers play a vital role in advancing science, technology, and innovation across various applications in science, academia, military, and industry. The number of supercomputers in the world is a dynamic figure that changes as technology advances and new machines are introduced.

As technology continues to evolve with rising demand for cloud computing capacity and AI, the number of supercomputers is expected to grow, further expanding the frontiers of what is possible in computational science and engineering.


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Nicole Willing

Nicole Willing has two decades of experience in writing and editing content on technology and finance. She has developed expertise in covering commodity, equity, and cryptocurrency markets, as well as the latest trends across the technology sector, from semiconductors to electric vehicles. Her background in reporting on developments in telecom networking equipment and services and industrial metals production gives her a unique perspective on the convergence of Internet-of-Things technologies and manufacturing.