The Ling Sheng supercomputer topped the TOP500 with a 2.19 EFLOPS all‑CPU design, eschewing GPUs, achieving 84.4% scaling efficiency across millions of cores, high energy efficiency, and demonstrating a full‑stack domestic alternative that reshapes the global high‑performance computing landscape.
This article traces the evolution of global supercomputing—from early US and Japanese initiatives to Europe’s coordinated investments—and details China’s rapid development of successive supercomputer generations, highlighting landmark systems such as SGI Power Challenge XL, Dawning‑2000, DeepComp series, the “元” platform and the “东方” machine, as well as homegrown high‑performance software like HPSEPS and HPLES.
This article explains the three main types of computing power—general (通算), intelligent (智算), and supercomputing (超算)—detailing their definitions, typical processor architectures, and real‑world application scenarios across everyday office tasks, AI workloads, and large‑scale scientific research.
France will christen its upcoming 2025 supercomputer after Alice Recoque, a trailblazing 1970s engineer, highlighting both the nation's high‑performance computing ambitions and a symbolic push for gender diversity in a traditionally male‑dominated field.
This guide explains how to obtain free API keys for DeepSeek‑R1:7B, 14B, and 32B models from the National Supercomputing Center, walks through the purchase steps, and provides a Python example for calling the models via the provided endpoint.
The article provides an in‑depth analysis of HPE’s latest Cray EX supercomputing platforms, detailing their GPU density, performance benchmarks, liquid‑cooling architecture, Slingshot 400 interconnect, upcoming storage solutions, and alternative ProLiant Compute XD servers for AI workloads.
The article examines the El Capitan supercomputer unveiled at SC24, detailing its AMD CPU‑GPU hybrid architecture, benchmark results, its dominance in the November 2024 Top500 list, and the broader implications for high‑performance computing, AI workloads, and the competitive landscape between AMD and NVIDIA.
Elon Musk’s xAI has raised a $6 billion Series B round, boosting its valuation to $18 billion and accelerating the development of its Grok models, massive GPU clusters, and ambitious plans for a next‑generation AI supercomputer.
This article explains the unique business characteristics of large‑scale supercomputing workloads, outlines the observability challenges they pose, and details how Alibaba Cloud Prometheus host monitoring provides automated service discovery, rapid probe deployment, fine‑grained metrics, and ready‑to‑use Grafana dashboards to achieve second‑level monitoring at massive scale.
Nvidia introduced the Blackwell GPU architecture at GTC, highlighting six breakthrough technologies, a 4nm process, massive performance gains, and its integration into DGX SuperPOD systems that promise to accelerate generative AI, data processing, and high‑performance computing across industries.
This article presents a comprehensive overview of the challenges, key technologies, and future applications of a unified storage platform built on Alluxio for China's national supercomputing internet, detailing its architecture, data flow strategies, deployment status, and industry use cases across multiple sectors.
The article defines high‑performance computing, presents China's dominant share in the Top500 supercomputer rankings, details recent global and Chinese HPC market growth rates, forecasts market size to 2026, and cites multiple industry reports as sources.
The ACM announced that a paper based on China’s 1.5 exaflops Oceanlite supercomputer has been shortlisted for the 2023 Gordon Bell Prize, highlighting its novel turbulent‑flow code, the SW26010 Pro processor architecture, other global contenders, and geopolitical implications voiced by Jack Dongarra.
Jack Dongarra, a pioneering computer scientist, created the Linpack library and benchmark that enabled software to scale from laptops to exaflop supercomputers, earning him the 2022 ACM A.M. Turing Award and shaping modern high‑performance and cloud computing.
The 2022 TOP500 report reveals that Japan's Fugaku remains dominant, while China leads in system count, Intel and NVIDIA still dominate processors and accelerators, and the industry is shifting toward data‑intensive AI and big‑data workloads, reshaping the supercomputing landscape.
The article presents CloudKnow's Atlas supercomputing platform, detailing its AI‑focused architecture, early storage and bandwidth challenges, the integration of Alluxio and Fluid for distributed caching, various business adaptations, and experimental results showing significant performance gains across speech denoising, image classification, large‑file processing, and speech recognition workloads.
The May 30, 2022 ISC 2022 announcement revealed that ORNL's Frontier became the first true exascale supercomputer with 1.102 exaflops, reshaping the Top500 rankings and highlighting the latest hardware configurations, regional distribution, Chinese HPC developments, and the shifting market share among major vendors.
The ORNL Frontier supercomputer has shattered the TOP500 record by achieving over one exaflop of performance, featuring AMD CPUs and GPUs, massive storage, high energy efficiency, and marking a pivotal shift in global high‑performance computing rankings.
Li Sanli, a distinguished computer science professor at Tsinghua University and academician of the Chinese Academy of Engineering, passed away at 87, leaving a legacy that includes pioneering work on China’s first VLSI, RISC, and high‑performance supercomputers such as DeepSuper‑21C and Ziyou‑3000.
At the recent GTC event, NVIDIA introduced the H100 GPU built on the Hopper architecture using TSMC 4nm process, featuring 800 billion transistors, 16,896 CUDA cores, up to 700 W power, 3 TB/s memory bandwidth, and a specialized Transformer engine that accelerates large‑model training up to six times faster, alongside the Grace CPU Superchip and new AI supercomputing systems.
In a 2021 Alibaba Double 11 media briefing, CTO Cheng Li reviewed the past twelve years of digital‑technology evolution, forecast four key tech directions for the next decade, and revealed the year's ten technical highlights, emphasizing AI, cloud, green computing, and immersive experiences.
The article explains high‑performance computing (HPC) concepts, including serial and parallel processing, supercomputer performance measured in FLOPS, real‑world scientific applications such as drug discovery and weather forecasting, and the hardware architectures that enable these massive computational capabilities.
The newsletter recaps recent tech developments, including JD's four AI papers at Interspeech 2020, Shenzhen's supercomputing boost, T‑Mobile's mid‑band 5G expansion, Apple's upcoming A14T iMac processor, MongoDB Atlas multi‑cloud support, Wikimedia's migration to GitLab, and advances in graph neural network pre‑training and deep clustering.
This article explains what supercomputers are, outlines major ranking systems such as TOP500 and Green500, describes their wide‑range research and application value, and details the three‑layer architecture, parallel computing principles, and emerging trends like exascale, AI integration, quantum and bio‑computing.
This article explores whether it is technically feasible to place all 1.4 billion Chinese users into one WeChat group, analyzing population statistics, message volume, CPU processing limits, network bandwidth, storage requirements, and cost implications with supporting calculations and references.
The article explains the latest TOP500 supercomputer rankings, emphasizes that architecture—not just CPU count—is the core technology behind high‑performance computing, describes the challenges of networking, software, and power, and illustrates diverse applications such as nuclear simulation, climate forecasting, and video rendering.
This article examines why the traditional Linpack‑based TOP500 list is being complemented by newer benchmarks such as HPCG, Graph500, Green Graph 500 and IO‑500, explains their methodologies, presents the 2017 ranking results for major Chinese supercomputers, and reviews a wide range of application and micro‑benchmarks used to evaluate HPC system performance.
This article reviews recent HPC market size and growth trends, highlights AI‑driven investment, and evaluates Huawei’s hardware, cloud, and industry‑specific solutions—including supercomputing, automotive, oil & gas, and entertainment—while offering personal insights on storage challenges and future directions.
The article examines the 2017 TOP500, Green500, HPCG, Graph500 and Green Graph 500 rankings, explains why Linpack is becoming insufficient, compares benchmark methodologies, and introduces major application and micro‑benchmarks that illustrate the evolving performance metrics of modern supercomputers.
On May 3, China announced the creation of the world’s first optical quantum computer, a collaborative effort that demonstrates quantum‑computing speeds far beyond traditional supercomputers and signals the nation’s entry into world‑class quantum research.
Former professor and hedge‑fund founder D.E. Shaw leveraged his expertise in massive parallel computing to create the Anton supercomputer, a purpose‑built machine that accelerates molecular dynamics simulations thousands of times faster than traditional supercomputers, reshaping computational chemistry and high‑frequency trading.
