计算产业通用化与智能化
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摩尔线程盘中大涨超500% 单签最高盈利超28万元
Zheng Quan Shi Bao Wang· 2025-12-05 02:23
公司已成功推出四代GPU架构,并形成了覆盖AI智算、高性能计算、图形渲染、计算虚拟化、智能媒 体和面向个人娱乐与生产力工具等应用领域的多元计算加速产品矩阵,产品线涵盖政务与企业级智能计 算、数据中心及消费级终端市场,能够满足政府、企业和个人消费者等在不同市场中的差异化需求。新 一代架构相关产品处于研发阶段,同步推进高性能GPU芯片和智算集群前沿技术预研,以自主创新为核 心,持续推动计算产业向通用化与智能化方向发展。 公司在国内GPU领域处于领先地位,基于自主研发的MUSA架构,公司率先实现了单芯片架构同时支持 AI计算加速、图形渲染、物理仿真和科学计算、超高清视频编解码的技术突破,有力推动了我国GPU 产业的自主可控进程。 (文章来源:证券时报网) 摩尔线程(688795)今日登陆科创板,开盘即大幅冲高,一度涨超500%,随后涨幅有所回落。截至发稿, 该股涨约430%。以当前盘中最高价688元/股计算,该股单签最高盈利超28万元。 资料显示,摩尔线程主要从事GPU及相关产品的研发、设计和销售。自2020年成立以来,公司以自主研 发的全功能GPU为核心,致力于为AI、数字孪生、科学计算等高性能计算领域提供计算加 ...
“中国版英伟达”,中签号码公布
Zheng Quan Shi Bao· 2025-11-25 12:57
Core Viewpoint - The company, known as "China's version of Nvidia," has successfully launched its initial public offering (IPO) on the STAR Market, achieving significant milestones in terms of pricing and fundraising [1][4]. Group 1: IPO Details - The IPO price was set at 114.28 yuan, marking it as the highest IPO price on the STAR Market and in the A-share market for the year [4]. - The total fundraising amount is expected to reach 8 billion yuan, which is also the largest for a new stock on the STAR Market this year [4]. - The number of institutional investors participating in the offline issuance reached 267, with a total of 7,555 allocation objects, both setting records for the year on the STAR Market [4]. Group 2: Strategic Placement - The strategic placement involved various investors, including CITIC Securities and the company's senior management, with a total of 14 million shares allocated, accounting for 20% of the total issuance [2]. - The strategic investors included large enterprises with long-term cooperation visions, indicating strong market confidence in the company's future [2]. Group 3: Company Overview - The company focuses on the research, design, and sales of GPUs and related products, aiming to provide computing acceleration platforms for high-performance computing fields such as AI and digital twins [3]. - Since its establishment in 2020, the company has launched four generations of GPU architectures, covering diverse applications including AI intelligence, high-performance computing, and graphics rendering [3]. - The company is currently developing next-generation architecture products and advancing research on high-performance GPU chips and intelligent computing clusters [3].