#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

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

#Aurora #supercomputer is now fully operational, available to researchers
Scientists use Aurora to drive breakthroughs in cancer, materials discovery, energy technologies and many other fields.
Aurora is one of first #exascale supercomputers, along with Frontier at #DOE’s Oak Ridge National Laboratory and El Capitan at Lawrence Livermore National Laboratory. Exascale refers to systems performing at least an #exaflop — a quintillion (a billion billion) calculations/s.
https://www.tomshardware.com/tech-industry/supercomputers/aurora-supercomputer-is-now-fully-operational-available-to-researchers

#Aurora #supercomputer is now fully operational, available to researchers
Scientists use Aurora to drive breakthroughs in cancer, materials discovery, energy technologies and many other fields.
Aurora is one of first #exascale supercomputers, along with Frontier at #DOE’s Oak Ridge National Laboratory and El Capitan at Lawrence Livermore National Laboratory. Exascale refers to systems performing at least an #exaflop — a quintillion (a billion billion) calculations/s.
https://www.tomshardware.com/tech-industry/supercomputers/aurora-supercomputer-is-now-fully-operational-available-to-researchers

#China Publishes Its Own #Top100 #Supercomputer List
China's lack of #Top500 submissions underscores separation of Chinese #supercomputing from global #HPC. But even China's own list does not include country's fastest #ExaFLOP computers; upper echelons of China's supercomputing remains shrouded in secrecy. 21 out of Top 50 were deployed in last 2yr, indicating China's supercomputesr continue to develop rather rapidly despite US efforts to contain the country's advances.
https://www.tomshardware.com/news/china-supercomputing-top-100-list-us-vendors

#China Publishes Its Own #Top100 #Supercomputer List
China's lack of #Top500 submissions underscores separation of Chinese #supercomputing from global #HPC. But even China's own list does not include country's fastest #ExaFLOP computers; upper echelons of China's supercomputing remains shrouded in secrecy. 21 out of Top 50 were deployed in last 2yr, indicating China's supercomputesr continue to develop rather rapidly despite US efforts to contain the country's advances.
https://www.tomshardware.com/news/china-supercomputing-top-100-list-us-vendors

Interesting article to read about the infrastructure used for #AI ,
"It leverages 10,752 GPUs strung together using NVIDIA's Infiniband networking (moving a petabyte of data a second) and 860 terabytes of high bandwidth memory (36PB/sec aggregate bandwidth and 1.1PB sec interconnected) to deliver 40 exaflops of AI processing power. " ...the largest supercomputer in the Netherlands is in petaflops..🤔
https://www.engadget.com/nvidias-eos-supercomputer-just-broke-its-own-ai-training-benchmark-record-170042546.html

#AI #nvidia #infrastructure #supercomputer #exaflop

Interesting article to read about the infrastructure used for #AI ,
"It leverages 10,752 GPUs strung together using NVIDIA's Infiniband networking (moving a petabyte of data a second) and 860 terabytes of high bandwidth memory (36PB/sec aggregate bandwidth and 1.1PB sec interconnected) to deliver 40 exaflops of AI processing power. " ...the largest supercomputer in the Netherlands is in petaflops..🤔
https://www.engadget.com/nvidias-eos-supercomputer-just-broke-its-own-ai-training-benchmark-record-170042546.html

#AI #nvidia #infrastructure #supercomputer #exaflop

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

#NVIDIA Announces #DGX GH200 #AI #Supercomputer | NVIDIA Newsroom

"New Class of AI Supercomputer Connects 256 #GraceHopper Superchips Into Massive, 1-#Exaflop, 144TB #GPU for Giant Models Powering #GenerativeAI, #RecommenderSystems, #DataProcessing"

https://nvidianews.nvidia.com/news/nvidia-announces-dgx-gh200-ai-supercomputer

#NVIDIA Announces #DGX GH200 #AI #Supercomputer | NVIDIA Newsroom

"New Class of AI Supercomputer Connects 256 #GraceHopper Superchips Into Massive, 1-#Exaflop, 144TB #GPU for Giant Models Powering #GenerativeAI, #RecommenderSystems, #DataProcessing"

https://nvidianews.nvidia.com/news/nvidia-announces-dgx-gh200-ai-supercomputer

"#Cerebras said #Andromeda can perform 1 #exaflop worth of #AI #computing - or at least one quintillion (10 to the power of 18) operations per second - based on a precision of 16 bit floating point format."