摩尔线程官方公众号12月9日发文称，12月19日至20日，摩尔线程首届MUSA开发者大会（MUSA Developer Conference，简称MDC 2025）将在北京中关村国际创新中心拉开帷幕。作为国内首个聚焦全 功能GPU的开发者盛会，大会以"创造、链接、汇聚（Create， Connect， Converge）"为核心理念，直 面技术自立自强与产业升级的时代命题。 文中表示，大会主论坛将聚焦驱动千行百业数智化转型的核心引擎——智能算力。摩尔线程创始人、董 事长兼CEO张建中将首次系统阐述以MUSA为核心的全栈发展战略与未来愿景，并重磅发布新一代GPU 架构、推出涵盖产品体系、核心技术及行业解决方案的完整布局，分享多领域落地案例与生态建设进 展。演讲还将深入分享摩尔线程在AI计算、图形渲染、科学计算及多场景融合中的落地实践、生态进 展与前瞻思考。 文中表示，大会主论坛将聚焦驱动千行百业数智化转型的核心引擎——智能算力。摩尔线程创始人、董 事长兼CEO张建中将首次系统阐述以MUSA为核心的全栈发展战略与未来愿景，并重磅发布新一代GPU 架构、推出涵盖产品体系、核心技术及行业解决方案的完整布局，分享多领域 ...

摩尔线程还将联合众多生态伙伴，共同打造 超过1000㎡的沉浸式"MUSA嘉年华"。 编辑 ｜ 钉钉 摩尔线程官方公众号 12月9日发文称， 12月19日至20日， 摩尔线程首届MUSA开发者大会（MUSA Developer Conference，简称MDC 2025） 将在北京中关村国际创新中心拉开帷幕。 作为国内首个 聚焦全功能GPU的开发者盛会，大会以"创造、链接、汇聚（Create, Connect, Converge）"为核心 理念，直面技术自立自强与产业升级的时代命题。 文中表示，大会主论坛将聚焦驱动千行百业数智化转型的核心引擎——智能算力。摩尔线程创始人、董 事长兼CEO张建中将首次系统阐述以MUSA为核心的全栈发展战略与未来愿景，并 重磅发布新一代 GPU架构 、推出涵盖产品体系、核心技术及行业解决方案的完整布局，分享多领域落地案例与生态建 设进展。演讲还将深入分享摩尔线程在AI计算、图形渲染、科学计算及多场景融合中的落地实践、生态 进展与前瞻思考。 此外，大会设立超过20场技术分论坛，议题覆盖智能计算、图形计算、科学计算、AI基础设施（AI Infra）、端侧智能、具身智能、开发者工具与平台 ...

机器之心发布 机器之心编辑部 2025 年 12 月 19 日至 20 日，摩尔线程首届 MUSA 开发者大会（MUSA Developer Conference，简称 MDC 2025）将在北京中关村国际创新中心拉 开帷幕。 作为国内首个聚焦全功能 GPU 的开发者盛会，大会以「创造、链接、汇聚（Create, Connect, Converge）」为核心理念，直面技术自立自强与 产业升级的时代命题，旨在汇聚全球 AI 与 GPU 领域开发者、技术领袖、产业先锋及行业数智化转型实践者，共同探索国产算力的突破路径，擘画自主计 算生态的崭新蓝图。 MDC 2025 不仅是摩尔线程 MUSA 技术体系与全栈能力的集中呈现，更致力于打造一个连接技术创新、开发者共创与产业应用的战略平台。 大会将围绕 MUSA 统一系统架构，全面展示从硬件到软件、从技术到场景的全栈能力与生态进展，加速推动国产全功能 GPU 技术扎根千行百业，筑牢智能时代的坚实 算力底座。 主论坛： 揭晓新一代 GPU 架构与路线图 大会主论坛将聚焦驱动千行百业数智化转型的核心引擎—— 智能算力 。摩尔线程创始人、董事长兼 CEO 张建中将首次系统阐述 ...

今日，沐曦股份（688802）公告，回拨机制启动后，网下最终发行数量为2282.9081万股，占扣除最终战略配售部分后本次发行数量的70.26%，网上最终 发行数量为966.55万股，占扣除最终战略配售部分后本次发行数量的29.74%。回拨机制启动后，网上发行最终中签率为0.03348913%。 沐曦股份网上发行最终中签率出炉。 资料显示，沐曦股份是国内高性能通用GPU产品的主要领军企业，成功上市后，公司将成为继摩尔线程之后第二家登陆A股市场的国产GPU公司。 招股书显示，沐曦股份致力于自主研发全栈高性能GPU芯片及计算平台，公司主营业务是研发、设计和销售应用于人工智能训练和推理、通用计算与图形 渲染领域的全栈GPU产品，并围绕GPU芯片提供配套的软件栈与计算平台。自公司成立以来，始终专注于GPU产品的技术创新和迭代升级，形成了独具优 势的GPU产品体系和自主开放的软件生态，持续为云端计算提供高能效、高通用性的算力支撑，推动人工智能赋能千行百业，重点布局了教科研、金融、 交通、能源、医疗健康、大文娱等行业应用场景，已成为推动我国智能算力基础设施自主可控的重要力量。 公司主要产品全面覆盖人工智能计算、通用计算和 ...

Core Insights - Lenovo officially launched the "Lenovo AI Factory" solution to assist enterprises in transforming their traditional data centers into efficient AI factories [1] - The solution aims to create a standardized system that is manageable, replicable, and supports continuous operation, facilitating the transition from traditional computing centers to modern AI production lines [2] Group 1: AI Factory Implementation - The "AI Factory" model has already been implemented in several enterprises, including a supply chain control tower system with Geely and achieving a 78% automation rate in Li Auto's factory [3] - Lenovo's new generation AI servers significantly enhance processing power, providing robust support for AI training and inference [3] Group 2: Industry Standards and Collaboration - Lenovo is leading the initiative to establish industry standards for AI computing services, addressing long-standing issues such as unclear performance commitments [4] - The establishment of training and inference service standards is expected to provide clear quality specifications, enabling enterprises to evaluate and select computing services more effectively [4] Group 3: Strategic Evolution - The launch of the "AI Factory" solution represents a shift for leading companies from being mere technology providers to becoming co-creators of AI production paradigms and industry regulations [5]

Core Insights - The "2025 Guangming Science City Forum: Greater Bay Area Intelligent Computing Power and Large Model Intelligent Agents Forum" was held in Shenzhen, focusing on intelligent computing infrastructure, large model technology innovation, and multi-modal intelligent agent applications [1][3] Group 1: Forum Highlights - The forum gathered experts and scholars from artificial intelligence, high-performance computing, and multi-modal intelligent agents to discuss cutting-edge topics [1] - The director of Pengcheng Laboratory, Gao Wen, highlighted the progress of the "Pengcheng Cloud Brain III" large scientific device, which aims to accelerate scientific innovation and industrial technology upgrades [1][3] Group 2: Industry Development - Guangming District has attracted nearly 100 high-quality AI enterprises, with an industry scale exceeding 30 billion [3] - The forum aims to deepen the integration of industry, academia, and research to promote innovation in intelligent computing, large models, and intelligent agent technologies [3] Group 3: Technological Innovations - The forum announced several technological advancements, including the open-source model "Pengcheng Brain 2.1" and the AI forecaster assistant "Afu," developed in collaboration with the Shenzhen Meteorological Bureau [5] - Other innovations included the domestic "FenixCOS" inference engine and a financial intelligent agent based on a domestic full lifecycle model toolkit [5] Group 4: Collaborations and Partnerships - Cooperation agreements were signed between Pengcheng Laboratory and various institutions, including the Shenzhen Meteorological Bureau and the National Supercomputing Center in Wuxi [7] - Prominent academics from Tsinghua University, Hong Kong University, and other institutions delivered keynote speeches at the forum [7]

Core Viewpoint - The company, Shida Group, clarifies that it is not involved in any drone projects and emphasizes its strategic cooperation with regional partners to enhance service coverage in various fields such as computing power, AI, and big data [2] Group 1: Strategic Focus - The company is leveraging policy advantages from the Digital China and Digital Fujian initiatives to enhance its resource integration capabilities [2] - The focus areas include digital government, smart education, intelligent computing power, and data flow [2] Group 2: Current Projects - The company is actively advancing investments and layouts in the intelligent computing field, primarily undertaking computing center construction projects [2] - Ongoing projects include the development of computing scheduling platforms and the rapid delivery capabilities of enterprise-level container cloud platforms [2] - The company has successfully implemented the first phase of the Kerun Cloud Intelligent Computing Center and the second phase of the Gulou Intelligent Computing Center [2] Group 3: Acquisitions and Future Plans - The company is in the process of acquiring 95% of Shuchan Ming Shang, which is investing in the construction of an intelligent computing center with a scale of 2000P under sparse algorithms [2] - Upon completion of the acquisition, the company will participate in the operation and management of the project, providing intelligent computing power solutions [2]

Core Insights - The strategic cooperation agreement signed between Ankang High-tech Zone and the China Intelligent Computing Industry Alliance marks a significant step in implementing the "East Data West Computing" national strategy, aiming to accelerate the development of computing infrastructure in the western region [1][2]. Group 1: Strategic Importance - Ankang High-tech Zone is positioned as a key ecological supplement area for "West Computing," catering to the overflow demand for computing power from the eastern regions and providing supporting services such as data labeling and disaster recovery centers [2]. - The Ankang Intelligent Computing Center has established 2000P of intelligent computing power, accounting for 80% of the total industrial application intelligent computing power in Shaanxi Province, and ranks 13th in the "2025 China High-Performance Computing Performance TOP 100" list [2]. Group 2: Collaborative Framework - The China Intelligent Computing Industry Alliance serves as a core collaborative platform in the computing power sector, integrating hundreds of research institutions and leading enterprises, which will enhance resource complementarity and synergy with Ankang High-tech Zone's industrial foundation and policy advantages [3]. - The signing ceremony was attended by top industry experts, highlighting the importance of this collaboration in promoting the development of the computing power industry in the western region [3]. Group 3: Future Prospects - The collaboration is expected to transform Ankang into the largest and most technologically advanced intelligent computing core in southern Shaanxi, injecting strong computing power into the high-quality development of the digital economy in the Qinba Mountain area [3]. - This partnership contributes to the overall framework of computing power industry coordination between eastern and western China, enhancing the synergy between different regions [3].

Core Insights - The article emphasizes the significant advancements in artificial intelligence (AI) and intelligent computing capabilities in China, highlighting the government's support for innovation in AI technologies and infrastructure [1][5]. Group 1: Intelligent Computing Infrastructure - As of June 2023, China's operational computing center has reached a total scale of 10.85 million standard racks, with intelligent computing capabilities at 78.8 billion billion operations per second and storage exceeding 1,680 exabytes [1]. - The government has initiated policies to enhance the supply and accessibility of intelligent computing resources, aiming for economic efficiency and sustainability [5]. Group 2: Applications in Research and Development - AI technologies are driving significant changes in research methodologies, particularly in fields like computational biology, where intelligent computing has accelerated the analysis of complex biological data [3][4]. - Collaborations between universities and computing companies are fostering the application of intelligent computing in scientific research, enhancing the speed and accuracy of discoveries [3][4]. Group 3: Industry Applications and Innovations - Companies like Yili are leveraging AI and intelligent computing to create health profiles for livestock, improving monitoring and management efficiency in dairy production [5][6]. - The development of over 800 intelligent agents by Yili has optimized supply chain scenarios, significantly reducing risks related to inventory and logistics [6]. Group 4: Technological Advancements - Innovations in computing architecture, such as the development of ultra-node AI servers, are enabling faster and more cost-effective processing of AI models [8]. - The establishment of the "Ultra-node Computing Cluster Innovation Alliance" aims to enhance collaboration among various stakeholders in the AI and computing sectors, focusing on protocol development and application deployment [9]. Group 5: Educational and Collaborative Efforts - Companies are actively collaborating with academic institutions to develop intelligent computing solutions, contributing to the training of skilled professionals in the field [10]. - The integration of self-developed AI acceleration cards and collaborative research teams is fostering innovation and practical skills among young talents [10].

Core Insights - The development of artificial intelligence (AI) is significantly supported by advanced computing power and innovative technologies, as highlighted in the recent policy recommendations from the Chinese government [1] - China's computing power centers have reached a total scale of 10.85 million standard racks, with intelligent computing power at 788 billion billion operations per second, positioning the country among the global leaders in AI infrastructure [1] Group 1: AI in Research and Innovation - AI is driving a transformation in research paradigms, enabling faster and more accurate scientific discoveries, particularly in fields like computational biology [2][3] - The collaboration between universities and computing companies is accelerating the application of intelligent computing in research, enhancing the efficiency of model training and inference [2][3] Group 2: Diverse Applications of Intelligent Computing - Companies like Yili are leveraging AI and cloud computing to create smart health management systems for livestock, improving operational efficiency and product quality [4][5] - The integration of AI in manufacturing processes, such as in the production of high-speed trains, has significantly reduced simulation times and improved design accuracy [5] Group 3: Industry Collaboration and Innovation - The establishment of the "Supernode Computing Cluster Innovation Alliance" aims to enhance collaboration among companies in chip development, system design, and AI applications [8] - Innovations in computing architecture, such as the development of ultra-node servers, are addressing the challenges of high energy consumption and system scalability in AI applications [7][8]