#exaflop — Public Fediverse posts

China's LineShine Supercomputer: A Sense of Scale ⚡🖥️

China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.

The Scale of Its Computing Power 📊

Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.

Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.

LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.

#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500

China's LineShine Supercomputer: A Sense of Scale ⚡🖥️

China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.

The Scale of Its Computing Power 📊

Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.

Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.

LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.

#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500

China's LineShine Supercomputer: A Sense of Scale ⚡🖥️

China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.

The Scale of Its Computing Power 📊

Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.

Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.

LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.

#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500

China's LineShine Supercomputer: A Sense of Scale ⚡🖥️

China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.

The Scale of Its Computing Power 📊

Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.

Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.

LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.

#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500

China's LineShine Supercomputer: A Sense of Scale ⚡🖥️

China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.

The Scale of Its Computing Power 📊

Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.

Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.

LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.

#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500

In #Jülich startet der #Supercomputer Jupiter, Europas erster #Exascale-Rechner mit über einem #ExaFLOP/s, in den Testbetrieb.

Das modular aufgebaute #Rechenzentrum in Containern nutzt rund 24.000 #Nvidia GH200-Chips für Simulationen und #KI-Training.

Ziel ist nicht nur Leistung, sondern auch #Energieeffizienz mit #Wärmerückgewinnung. Ab 2027 ergänzt das KI-Modul #Jarvis das System.

https://www.heise.de/news/Juelicher-Supercomputer-Jupiter-startet-Probebetrieb-10340419.html

#ForschungszentrumJülich #HPC #GreenIT #Containerrechenzentrum #Green500 #EuroHPC

In #Jülich startet der #Supercomputer Jupiter, Europas erster #Exascale-Rechner mit über einem #ExaFLOP/s, in den Testbetrieb.

Das modular aufgebaute #Rechenzentrum in Containern nutzt rund 24.000 #Nvidia GH200-Chips für Simulationen und #KI-Training.

Ziel ist nicht nur Leistung, sondern auch #Energieeffizienz mit #Wärmerückgewinnung. Ab 2027 ergänzt das KI-Modul #Jarvis das System.

https://www.heise.de/news/Juelicher-Supercomputer-Jupiter-startet-Probebetrieb-10340419.html

#ForschungszentrumJülich #HPC #GreenIT #Containerrechenzentrum #Green500 #EuroHPC

In #Jülich startet der #Supercomputer Jupiter, Europas erster #Exascale-Rechner mit über einem #ExaFLOP/s, in den Testbetrieb.

Das modular aufgebaute #Rechenzentrum in Containern nutzt rund 24.000 #Nvidia GH200-Chips für Simulationen und #KI-Training.

Ziel ist nicht nur Leistung, sondern auch #Energieeffizienz mit #Wärmerückgewinnung. Ab 2027 ergänzt das KI-Modul #Jarvis das System.

https://www.heise.de/news/Juelicher-Supercomputer-Jupiter-startet-Probebetrieb-10340419.html

#ForschungszentrumJülich #HPC #GreenIT #Containerrechenzentrum #Green500 #EuroHPC

In #Jülich startet der #Supercomputer Jupiter, Europas erster #Exascale-Rechner mit über einem #ExaFLOP/s, in den Testbetrieb.

Das modular aufgebaute #Rechenzentrum in Containern nutzt rund 24.000 #Nvidia GH200-Chips für Simulationen und #KI-Training.

Ziel ist nicht nur Leistung, sondern auch #Energieeffizienz mit #Wärmerückgewinnung. Ab 2027 ergänzt das KI-Modul #Jarvis das System.

https://www.heise.de/news/Juelicher-Supercomputer-Jupiter-startet-Probebetrieb-10340419.html

#ForschungszentrumJülich #HPC #GreenIT #Containerrechenzentrum #Green500 #EuroHPC

21 #ExaFLOP #Isambard #AI #Supercomputer Uses 5,448 #NVidia #GH200 #GraceHopper Superchips
U.K.'s most powerful supercomputer boasts 200 #PetaFLOP #FP64 compute.
The machine, which is set to be built by #HPE, cost £225 million ($273.38 million)
https://www.tomshardware.com/pc-components/gpus/21-exaflop-isambard-ai-supercomputer-uses-5448-gh200-grace-hopper-superchips

21 #ExaFLOP #Isambard #AI #Supercomputer Uses 5,448 #NVidia #GH200 #GraceHopper Superchips
U.K.'s most powerful supercomputer boasts 200 #PetaFLOP #FP64 compute.
The machine, which is set to be built by #HPE, cost £225 million ($273.38 million)
https://www.tomshardware.com/pc-components/gpus/21-exaflop-isambard-ai-supercomputer-uses-5448-gh200-grace-hopper-superchips

21 #ExaFLOP #Isambard #AI #Supercomputer Uses 5,448 #NVidia #GH200 #GraceHopper Superchips
U.K.'s most powerful supercomputer boasts 200 #PetaFLOP #FP64 compute.
The machine, which is set to be built by #HPE, cost £225 million ($273.38 million)
https://www.tomshardware.com/pc-components/gpus/21-exaflop-isambard-ai-supercomputer-uses-5448-gh200-grace-hopper-superchips

21 #ExaFLOP #Isambard #AI #Supercomputer Uses 5,448 #NVidia #GH200 #GraceHopper Superchips
U.K.'s most powerful supercomputer boasts 200 #PetaFLOP #FP64 compute.
The machine, which is set to be built by #HPE, cost £225 million ($273.38 million)
https://www.tomshardware.com/pc-components/gpus/21-exaflop-isambard-ai-supercomputer-uses-5448-gh200-grace-hopper-superchips

#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance

#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance

#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance

#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance

#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance