ADMIN MagazineFuzzball 4.0 released by CIQ with several new features
https://www.admin-it.io/fuzzball-4-0-released/?utm_source=mam
#Fuzzball #CIQ #HPC #orchestration #storage #AI #Lustre #GPFS #BeeGFS
Claudia Blaas-SchennerToday I opened the fortune cookie I got from JSC at ISC26 – this is for you:
#ISC26 #Connecting_the_Dots #HPC #AI
#ISC26 #Connecting_the_Dots #HPC #AI
Andreas HertenWe’ve launched the Call for Papers for the #SC26 HPCTESTS workshop: https://olcf.github.io/hpc-system-test-wg/hpctests/hpctests2026
If you have cool research related to HPC system testing/benchmarking, we are happy to host you in Chicago. Deadline is 3 August. #HPC #HPCTESTS
If you have cool research related to HPC system testing/benchmarking, we are happy to host you in Chicago. Deadline is 3 August. #HPC #HPCTESTS
Rodrigue GbadouTerrence O'Brien pour The Verge signale que la Chine vient de reprendre le titre du supercalculateur le plus rapide du monde avec LineShine, sans utiliser un seul GPU. Environ 45 000 processeurs CPU reliés sur un réseau bas-latence maison, et le premier franchissement des 2 000 exaflops. Les restrictions américaines ont forcé un choix d'architecture que personne n'attendait à ce niveau. Vous pariez sur quoi pour la suite ? #HPC #IA
LobstersTOP500 at ISC'26: We have a New Number 1
https://chipsandcheese.com/p/top500-at-isc26-we-have-a-new-number
Pustam | पुस्तम | পুস্তম🇳🇵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
Alex S.AI isn't just becoming a compute problem anymore—it's becoming a networking problem. Faster GPUs don't help much if data can't move between them efficiently, so it's not surprising to see optical interconnects becoming a strategic technology for future AI data centers.
https://www.trendforce.com/presscenter/news/20260615-13098.html?es_id=aa45ab1fb2
#AI #AIInfrastructure #DataCenter #GPU #OpticalNetworking #SiliconPhotonics #CPO #HighSpeedNetworking #HPC #Semiconductors #TechNews #FutureOfAI
Optical Interconnects Become Critical to AI Factory Expansion; CPO/NPO Market Expected to Exceed US$39 Billion by 2030, Says TrendForce
TrendForce’s recent research on silicon photonics (SiPh) shows that the rapid growth of AI training and inference workloads is pushing AI data centers toward increased power use, higher rack densities, and larger clusters. As data transfer becomes a major energy drain, CSPs are treating interconnect technologies as equally important as compute hardware. The architecture of interconnects now plays a key strategic role in determining AI factory growth, energy efficiency, and supply chain management.
ALEXBSRAs AI clusters become larger and GPUs become faster, networking and optical communication are becoming just as important as the compute hardware itself. Copper connections consume too much power and suffer from signal loss at very high speeds, so the industry is gradually moving toward optical interconnects. TrendForce forecasts the combined CPO/NPO market could grow from roughly $100 million in 2025 to over $39 billion by 2030, illustrating how strategic this technology is expected to become.
AI isn't just becoming a compute problem anymore—it's becoming a networking problem. Faster GPUs don't help much if data can't move between them efficiently, so it's not surprising to see optical interconnects becoming a strategic technology for future AI data centers.
https://www.trendforce.com/presscenter/news/20260615-13098.html?es_id=aa45ab1fb2
#AI #AIInfrastructure #DataCenter #GPU #OpticalNetworking #SiliconPhotonics #CPO #HighSpeedNetworking #HPC #Semiconductors #TechNews #FutureOfAI
Optical Interconnects Become Critical to AI Factory Expansion; CPO/NPO Market Expected to Exceed US$39 Billion by 2030, Says TrendForce
TrendForce’s recent research on silicon photonics (SiPh) shows that the rapid growth of AI training and inference workloads is pushing AI data centers toward increased power use, higher rack densities, and larger clusters. As data transfer becomes a major energy drain, CSPs are treating interconnect technologies as equally important as compute hardware. The architecture of interconnects now plays a key strategic role in determining AI factory growth, energy efficiency, and supply chain management.
BuySellRam.comAI isn't just becoming a compute problem anymore—it's becoming a networking problem. Faster GPUs don't help much if data can't move between them efficiently, so it's not surprising to see optical interconnects becoming a strategic technology for future AI data centers.
https://www.trendforce.com/presscenter/news/20260615-13098.html?es_id=aa45ab1fb2
#AI #AIInfrastructure #DataCenter #GPU #OpticalNetworking #SiliconPhotonics #CPO #HighSpeedNetworking #HPC #Semiconductors #TechNews #FutureOfAI #tech
Optical Interconnects Become Critical to AI Factory Expansion; CPO/NPO Market Expected to Exceed US$39 Billion by 2030, Says TrendForce
TrendForce’s recent research on silicon photonics (SiPh) shows that the rapid growth of AI training and inference workloads is pushing AI data centers toward increased power use, higher rack densities, and larger clusters. As data transfer becomes a major energy drain, CSPs are treating interconnect technologies as equally important as compute hardware. The architecture of interconnects now plays a key strategic role in determining AI factory growth, energy efficiency, and supply chain management.
Orhun Parmaksız 👾I like that "lazy version" exists for many things! 😍
🌀 **lazyslurm** — A TUI for monitoring and managing Slurm clusters
💯 Track jobs, inspect nodes, tail logs, monitor partitions, & manage workloads
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/hill/lazyslurm