这些成就背后，是中国开源社区治理模式的成熟演进。通过开放原子开源基金会等平台，我国正在构建 项目孵化、资源整合与生态反哺的良性循环体系。这一优势在于产业链的深度协同，开源鸿蒙社区汇聚 全球企业与开发者群体协同发力，推动技术在多个重点领域实现规模化落地；开源欧拉凝聚开发者力量 为AI算力集群等前沿应用提供支撑。 笔者认为，要让更多开源项目顺利"毕业"，构建更加繁荣的开源生态，产业链各方需要从三个维度重点 发力。 第一，构建育苗—造林—成荫阶梯培育体系。开源生态建设要遵循项目成长规律，建议基金会联合产业 链建立分阶段、差异化的扶持机制。对于初创项目，要提供技术孵化、社区运营等基础支持；对于成长 项目，要帮助其拓展应用场景、完善治理结构；对于毕业项目，则要重点支持其产业规模化落地和国际 化发展，形成"培育一个、成熟一个、带动一片"的良性发展格局。 在11月21日举行的2025开放原子开发者大会上，开放原子开源基金会宣布旗下开源鸿蒙与开源欧拉成为 首批毕业项目，这意味着我国开源生态建设迈入新阶段，将为行业创新突破与技术迭代升级注入持久动 力。 ■贾丽 开源项目的"毕业"，并非意味着其将脱离基金会生态，而是标志着其技术 ...

11月21日，在2025开放原子开发者大会的舞台上，一场象征着中国开源生态成熟蜕变的"毕业典礼"正在 举行。大会上，开放原子开源基金会理事长程晓明和秘书长助理李博为开源鸿蒙项目群工作委员会执行 主席章晓峰、开源欧拉委员会主席熊伟颁发纪念杯和证书。这一历史性时刻，标志着开源鸿蒙与开源欧 拉正式成为中国首批"毕业"的开源项目，完成了从技术孵化到生态成熟的征程。 "不同于学生毕业后就离开了学校，开源项目的'毕业'其实是项目在技术迭代、社区治理和生态发展走 向成熟的表现。"李博表示，"这意味着这些项目已经具备了强大的生命力和可持续发展能力，将为全球 开发者和用户创造更大价值。"大会透露的一组数据更印证了中国开源生态的蓬勃发展：截至2024年 底，我国活跃开源项目已突破300万个，活跃开源开发者达227万人，形成了规模宏大、结构多元的开源 人才队伍。 章晓峰在接受《证券日报》记者采访时表示，首批开源项目的"毕业"，向业界展示了中国开源生态正加 速从"规模扩张"走向"质量跃升"。 两项目正式"毕业" "毕业"是开源项目孵化运营中的关键节点，不仅标志着开源项目已通过基金会技术监督委员会(TOC)的 严格评审，达到了成熟稳定 ...

Core Insights - The 2025 OSCAR Open Source Industry Conference was held in Beijing, where Inspur Yunqi Operating System (InLinux) won the "OSCAR Open Source + Commercialized Product" award for its innovative achievements in open source technology and successful commercialization [1][3] - The conference focused on the deep integration of open source technology and industry, aiming to accelerate the application of open source commercial products and promote the sustainable development of the open source ecosystem [3] - The award selection criteria included technological innovation, commercial landing scale, ecological adaptability, and user value creation, with InLinux recognized for its comprehensive capabilities in open source ecosystem integration, independent technological breakthroughs, and commercial landing [3][4] Company Highlights - Inspur Yunqi Operating System (InLinux) is an enterprise-level operating system built on openEuler, characterized by high performance, easy expansion, intelligent management, and inherent security [4] - The system supports various processor architectures including X86, ARM, and LoongArch, ensuring compatibility with mainstream hardware, databases, and middleware, thus providing high availability for critical business scenarios [4] - InLinux has achieved large-scale deployment advantages and is widely used in key sectors such as government, providing solid support for innovative business in smart cloud security [4] Industry Trends - The integration of next-generation technologies such as artificial intelligence and cloud computing with open source is driving systemic organizational evolution under the "AI Forward" initiative [3][4] - The focus on "flexibility, human-centeredness, and sustainability" supports innovation in digital technologies, promoting open source innovation and addressing the "last mile" challenges in AI implementation [3][4] - Inspur aims to leverage its artificial intelligence model factory to deepen open source ecosystem development, driving AI for good and transforming the innovative vitality of open source technology into new momentum for industrial development [4]

Core Insights - The "Intelligent Leap Without Boundaries, Open Source Towards the Future" Operating System Conference 2025 was successfully held on November 14 in Beijing, aiming to gather global industry forces to accelerate the development of the open-source software ecosystem [1] Group 1: Industry Trends - Basic software is a strategic industry that requires enhanced independent innovation, with the openEuler community becoming one of the most active open-source operating system technology communities globally over the past five years [3] - The future operating systems will connect hardware and applications in the intelligent era, serving as a core foundation for unleashing computing power potential [3] Group 2: Community Growth - The openEuler community has over 2,100 member units, more than 23,000 global contributors, and over 5.5 million users, with an expected installation volume exceeding 16 million sets by the end of 2025 [3] - The community is set to embark on a new five-year development path, launching an operating system for super nodes by the end of 2025 to lead in the AI era and accelerate globalization [3] Group 3: Corporate Collaboration - Huawei's CEO emphasized the need for collaboration with the community to deepen technologies such as AI runtime and cloud deployment, aiming to provide comprehensive solutions for overseas customers [4] - A joint development initiative was announced between the OpenAtom Foundation, Huawei, and China Telecom's Tianyi Cloud to enhance competitiveness in AI and super node technologies [6] Group 4: Global Cooperation - The openEuler community has established close cooperation with 15 global open-source organizations in areas such as AI, cloud, big data, and embedded systems [6] - The conference revealed 23 leading commercial practice projects for openEuler in 2025, including nine large-scale and 14 innovative projects [6]

Core Insights - The openEuler operating system is positioned to lead the development of foundational software in China, particularly in the AI era, with a focus on supernodes and global expansion [1][5][6] - By the end of 2025, openEuler is expected to surpass 16 million installations, maintaining a leading market share in key industries [1][5] - The community has established partnerships with 15 global open-source organizations, enhancing its international presence and collaboration [7][8] Group 1: Technological Advancements - The openEuler operating system supports advanced AI capabilities, enabling robots to perform complex tasks through powerful computational support [2][3] - The integration of openEuler with various hardware has improved adaptability, allowing for "plug-and-play" functionality, which enhances efficiency in AI applications across multiple sectors [3][5] - The system aims to create a unified ecosystem for robotic operations, facilitating seamless interaction between hardware and software [2][3] Group 2: Market Position and Strategy - openEuler has become a cornerstone for digital transformation across various industries, with a projected increase in market share for the current year [5][6] - The community has grown to include 2,100 member organizations and 23,000 developers, indicating significant scalability in government, finance, and energy sectors [5][8] - The strategic focus on global collaboration and innovation aims to position openEuler as a leader in the international open-source community [7][8] Group 3: Future Outlook - The next five years are critical for openEuler as it seeks to embrace supernodes and AI, aiming to provide a robust software foundation for the future [1][5][6] - The transition from a survival strategy to a leadership role reflects a significant shift in China's foundational software industry, emphasizing proactive engagement in global markets [6][8] - The community's commitment to open collaboration and technological advancement is expected to drive China's progress from a digital power to a digital stronghold [8]

来源：环球网 【环球网科技报道 记者 秦耳】11月14日，由开放原子开源欧拉（简称"开源欧拉"或"openEuler"）社区 主办，以"智跃无界，开源致远"为主题的操作系统大会2025在京举办。大会旨在汇聚全球产业界力量， 打造极具创新力的操作系统，加速全球基础软件开源生态发展。 据了解，开源欧拉成立六年以来，在开放原子开源基金会的运营孵化下，开源欧拉社区成员单位超2100 家，全球贡献者突破 2.3万人，用户超过550万。openEuler系操作系统累计装机量预计2025年底将超过 1600万套，已经成为中国行业数智化首选操作系统，份额持续保持领先，在互联网、通信、政务、金 融、公共事业和能源等行业已实现规模化应用。同时，将于2025年底正式上线面向超节点的操作系统， 引领AI时代，加速全球化。 作为中国规模最大、发展速度最快的开源操作系统根技术社区，开源欧拉历经近六年开源之路，在2025 年这个时间节点上，正从数量领先迈向质量引领。大会期间，开放原子开源欧拉委员会主席熊伟围绕欧 拉的发展成果、技术转型、全球化布局及未来规划接受了媒体采访。 开放原子开源欧拉委员会主席 熊伟 基础软件是战略性产业，尤其是操作 ...

Core Insights - The AtomGit platform, themed "Co-construction, Co-intelligence, and Sharing," is set to launch on November 21, integrating open-source and artificial intelligence infrastructure [1][2] - The establishment of the AI open-source community aims to enhance China's original innovation capabilities in AI and support high-quality development in the industrial and information sectors [1][2] Industry Trends - Artificial intelligence is becoming a core driver of global technological competition and industrial transformation, with the open-source ecosystem entering a "new open-source era" driven by large models and intelligent agents [2] - China ranks among the top countries in AI research paper publications and patent filings, holding approximately 18% of the global model market share, while the U.S. holds about 37% [2] Platform Features - AtomGit will provide a comprehensive service system covering "code + model + environment + computing power," supporting domestic chips and mainstream deep learning frameworks [2][4] - The platform aims to facilitate collaboration in computing power, model training, and data ecosystem openness, creating a full-chain synergy from models to computing power [2][4] Collaborative Efforts - Various stakeholders, including enterprises, communities, and developers, are encouraged to collaborate on the AtomGit platform to advance open-source projects and cultivate AI talent [3][4] - Major companies like Huawei and Baidu are actively participating in the AtomGit community, contributing their technologies and resources to define new standards and promote collaborative innovation [4][5] Future Goals - The three-year goal for the AtomGit platform is to establish a leading global AI open-source and model collaboration platform, fostering a sustainable AI open-source industry foundation [5] - The open-source community is urged to embrace international cooperation and enhance the integration of open-source concepts into talent cultivation systems [5]

Core Insights - The article emphasizes the transformative power of artificial intelligence (AI) in driving innovation and value creation in the tech industry, particularly highlighting Tencent's commitment to being a value creator and social enabler in this new technological era [1][2]. Innovation - Tencent is focused on transitioning AI from a purely technical perspective to one that emphasizes value creation, showcasing its self-developed high-performance computing network and its leading position in the global AI model landscape [1]. - The company has integrated AI into consumer applications, promoting the concept of "Yuanbao is everywhere," which connects various services like WeChat and Tencent Meeting, making AI accessible to the general public [1]. - In collaboration with China Southern Airlines, Tencent has developed a new generation of pilot vision systems and launched the Tairos platform, positioning itself as a connector and enabler for the real economy [1]. Ethical AI - Tencent advocates for "AI for good," establishing a foundation of trust between humans and AI, which is built on responsibility and transparency [1]. - The company emphasizes the importance of a responsible AI governance framework to ensure that AI development and application remain safe, controllable, and fair [1]. - Transparency is highlighted as a key element of trust, with Tencent prioritizing an open-source ecosystem and continuously releasing various models to avoid AI becoming a "black box" for a select few [1].

Core Insights - The trend of Silicon Valley companies turning to Chinese large models signifies a shift in the global AI landscape, with Chinese models being recognized for their superior performance and cost-effectiveness compared to American counterparts like OpenAI [1][2] - The competition in the large model service market is evolving from a focus on machine capabilities to a systemic reconfiguration of the relationship between developers, models, and the global technology ecosystem [1][2] Group 1: Chinese AI Models - Chinese AI models, such as Qwen, Zhiyu GLM, and Kimi, are gaining traction in global commercial applications, showcasing their strong potential through an open-source ecosystem [1][2] - The strategy of empowering developers through open-source initiatives has led to significant community engagement, with Qwen offering over 300 models and generating 170,000 community models [3] Group 2: Ecosystem Dynamics - The traditional view of global AI competition as a "arms race" focused on computing power and top-tier research is being challenged by a more inclusive approach that emphasizes an open, collaborative ecosystem [2][5] - The integration of Chinese models into global technology environments is transforming them from isolated entities into foundational infrastructure that supports broader ecosystems [4][5] Group 3: Future Outlook - The recognition of Chinese AI as a "parallel competitor" in the open-source AI and commercialization space indicates a shift towards a more sustainable and resilient ecosystem [5] - The transition from a focus on computational power to an emphasis on ecosystem collaboration suggests a new era where collective intelligence emerges from the interplay of people, machines, and environments [5]

Core Insights - The 2025 World Internet Conference in Wuzhen focuses on building an open, cooperative, and secure digital future, emphasizing the construction of a community in cyberspace [2][3] - The conference highlights the rapid development and application of large models in various industries, showcasing advancements in artificial intelligence and its integration into daily life and industrial processes [3][4] Group 1: AI and Industry Applications - The theme of this year's "Internet Light" Expo is "AI Coexistence, Intelligent Future," featuring over 1,000 cutting-edge AI technology products from more than 600 global companies [4] - Large models have evolved from single-modal capabilities to multi-modal integration, enabling applications that can understand and create across various formats such as text, voice, and visuals [5] - The integration of AI in healthcare is exemplified by AI-driven health consultations that provide immediate professional advice based on user data [4][5] Group 2: Open Source and Collaboration - The trend towards open-source development is gaining traction, allowing for collaborative innovation and lower barriers for small enterprises and research institutions to participate in the AI ecosystem [6][7] - The "Direct to Wuzhen" global internet competition introduced an open-source project track, attracting over 600 developers to participate in various challenges [6] Group 3: Digital Twin Technology - The application of digital twin technology in industrial settings is advancing, with companies like Qunhe Technology showcasing platforms that replicate real-world industrial environments in a digital space [10][11] - The digital twin platform enhances human-robot collaboration and allows for real-time monitoring and predictive analytics, significantly reducing trial-and-error costs in production [11][12] - The emphasis on open ecosystems and continuous innovation is seen as crucial for embedding AI capabilities across various sectors, moving beyond mere technological barriers to fostering collaborative industrial environments [12]