采用云原生 Mavenir BSS 和核心网，与 TextNow 聚焦长期创新的战略相契合旧金山和德克萨斯州理查森市, Feb. 25, 2026 (GLOBE NEWSWIRE) -- 美国领先的广告支持型免费无线服务提供商 TextNow 与颠覆性云原生电信技术提供商 Mavenir 今日宣布，将 Mavenir 的云原生 BSS 和核心网 (Core) 集成到 TextNow 的移动虚拟网络运营商 (MVNO) 基础设施中。 Mavenir 的云原生 BSS 和核心网平台解决方案旨在帮助 TextNow 更快地接纳新用户、推出差异化的服务层级，并扩展其免费无线模式，以覆盖更多正在寻求优质无线服务而又不愿支付过高费用的数百万美国民众。 此次与 Mavenir 的集成突显了 TextNow 对创新的关注，它提供了一系列功能来更好地支持 TextNow 超过 800 万的活跃用户，包括管理赞助合作伙伴、发展漫游合作关系以及为用户配置独立 SIM 卡档案的能力。 TextNow 合作与创新高级副总裁 Tristan Huntington 表示：“TextNow 花了 17 年时间证明，无线服务可以是免费的，可以 ...

值得注意的是，群核科技已于2月14日获得证监会备案，这意味着，其已经拿到赴香港上市的通行证， 有望成为"杭州六小龙"中首家上市公司。 招股书显示，Manycore是领先的云原生空间设计软件提供商，产品广泛应用于从住宅及办公楼到零售 店及商业项目等业务场景。公司主要瞄准空间设计软件市场，根据弗若斯特沙利文的资料，按2024年收 入计，公司以23.2%的市场份额成为中国最大的提供商。 据港交所2月24日披露，ManycoreTech Inc.（简称：群核科技）向港交所主板递交上市申请书，摩根大 通、建银国际为联席保荐人。这是该公司第三次递表，此前分别于2025年2月14日与2025年8月22日向港 交所递表。 群核科技已扩展至具身人工智能训练及电子商务产品展示，使公司能够进军更广泛的通用设计及可视化 软件市场，其中中国空间设计软件于2024年仅占4.4%。 产品方面，群核科技的产品矩阵以酷家乐为核心，酷家乐是中国的一个云原生空间设计平台，提供快速 拖放式3D设计、即时生成逼真渲染效果、广泛模型库及BIM能力。在国际市场，公司针对亚洲及美国 市场推出一款本地化空间设计解决方案Coohom，其拥有适配特定地区的设计界 ...

依托 Mavenir 云原生 OSS/BSS 平台实现从 MVNO 到 MNO 的转型马来西亚吉隆坡与德克萨斯州理查森市, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Tune Talk 作为马来西亚最具知名度的移动品牌之一，通过与构建 AI 驱动移动基础设施的网络软件提供商 Mavenir 建立战略合作伙伴关系，从而完成其向完全独立的完全云原生移动网络运营商 (MNO) 的转型。- 此次部署使得 Tune Talk 能够端到端地运营自己的网络系统，从而在其下一个发展阶段到来之前，解锁更高的速度、更强的灵活性与更多的创新能力。 这一转变得益于采用 Mavenir 的云原生 OSS 与 BSS 解决方案，使得 Tune Talk 对其网络运营和数字服务平台拥有完全控制权，并为未来发展奠定了软件驱动的坚实基础。 通过利用 Mavenir 的云原生平台对其 OSS 与 BSS 层进行现代化改造，Tune Talk 现已构建起一个基于软件定义的独立网络。-- 此次升级实现了更快速的服务部署、更具个性化的 AI 驱动客户体验，以及更可靠的网络性能。- 新架构已加速了多项数字服务的推出，包括 M ...

今天分享的是：2025年中国数据库产业研究报告 报告共计：56页 《2025年中国数据库产业研究报告》指出，中国数据库产业发展由国家级信创政策与云原生、AI等技 术创新双轮驱动，信创按"2+8+N"分阶段推进，叠加密集产业政策落地，推动数据库从"支撑型系 统"向"智能化数据底座"转型。2024年市场规模达596.2亿元，2020-2030年年复合增长率17.2%，关系型 数据库仍占主导，非关系型数据库在新兴场景形成补充，国内市场呈现关系型为主、非关系型多样化发 展的格局，集中式数据库仍占市场主流，分布式数据库处于技术积累向商业成熟过渡阶段。 产业竞争格局呈现多元主体参与特征，开源社区成为技术创新核心，openGauss等国产开源社区崛起， 推动国内数据库技术路线从国际开源衍生向国产开源生态演进。技术层面，国内厂商在存储引擎、分布 式事务等核心模块实现自主创新，云原生、HTAP、AI与数据库融合成为发展方向，但在高端核心能 力、生态体系等方面与国际厂商仍有差距。人才方面，产业呈现腰部强势、头部待崛起的人才结构，高 校科研与产业融合加深，企业与开源社区构建了分层的培训认证体系。 国产数据库市场份额2025年升至7 ...

双方将于世界移动通信大会 (#MWC26) 上展示 AI 创新成果，现场演示新一代用例马德里, Feb. 20, 2026 (GLOBE NEWSWIRE) -- 全球领先的综合通信服务商 Telefónica, S.A. 与电信优先、云原生、AI 原生设计技术提供商 Mavenir Systems Limited 今日宣布签署一项具有里程碑意义的谅解备忘录 (MOU)，共同创建一座 AI 创新中心。这一协作中心旨在加速人工智能在核心网络演进中的融合应用。 这座 AI 创新中心将作为现实世界的试验平台，用于开发、验证并优化 AI 驱动的自主网络编排、意图驱动型服务，以及 AI 赋能的货币化框架等先进能力。通过在受控环境中模拟生产级流量模式，该中心将使两家公司能够在进行大规模商业部署之前，对下一代解决方案进行严格测试与优化。 此次合作标志着迈向智能、自主、自优化的电信网络新时代的重要飞跃，这些系统能够持续学习、预测并实时适应变化。这彰显了 Telefónica 与 Mavenir 的共同愿景，即通过将云原生智能嵌入网络的每个层级，重新定义 AI 驱动网络演进的未来。该举措同样标志着 Telefónica 在网络 ...

Core Insights - The industrial software industry is at a critical juncture, driven by the need for innovation and the urgency of development, particularly in the context of China's economic transformation and the push for self-sufficiency in core technologies [1][4][17] - The market for industrial software in China is projected to approach 300 billion by 2024, indicating robust growth despite challenges such as a hollowing out of core technologies and imbalanced industrial structures [1][17] - The evolution of industrial software is characterized by a shift from tools to systems, platforms, and eventually to a genetic level, focusing on data value and efficiency [2][48] Industry Dynamics - The industrial software market is large, with significant opportunities for companies to target head, mid, and long-tail customers, each with distinct needs and potential for revenue generation [2][50] - The core evolution path of industrial software is from tools to systems, then to platforms, and finally to genetic integration, emphasizing the importance of data flow and value efficiency [48][49] - The industry faces systemic challenges, including a lack of foundational technologies and difficulties in integrating into supply chains, which hinder the development of domestic industrial software [26][17] Product Development Trends - Current industrial software primarily focuses on product sales, but there is a shift towards selling "intelligence" as data assets are accumulated and utilized effectively [3][52] - The integration of AI and large models is expected to enhance the capabilities of industrial software, particularly in areas such as code generation and human-computer interaction [43][52] - Future products are anticipated to evolve into "digital engineers," capable of autonomous task execution and intelligent interaction, moving beyond traditional software tools [52] Market Characteristics - The industrial software market is characterized by a high degree of fragmentation, with varying levels of domestic replacement and integration needs across different customer segments [14][50] - The demand for industrial software is driven by practical applications in enterprises, government initiatives, and the integration of research institutions, each with unique procurement focuses [14][16] - The market is currently experiencing a transition from subsidy-driven growth to a more market-oriented approach, emphasizing the importance of innovation and self-sufficiency [19][12] Challenges and Opportunities - The industry is grappling with significant challenges, including a lack of core technologies in research and design software, which is critical for engineering optimization [23][17] - Companies are encouraged to leverage policy incentives and market opportunities to enhance their technological capabilities and address the "bottleneck" issues in core components [17][26] - The evolution of industrial software is expected to create new revenue streams through data value services, as companies adapt to the changing landscape of technology and market demands [30][52]

Group 1 - Qingyun Zhican and TCL have developed a unified AI Infra platform, recognized as a leading enterprise in AI Infra for the 2025 China Big Data Industry [2][11] - The collaboration addresses challenges faced by TCL, such as fragmented computing resources and heterogeneous training environments, by providing a comprehensive solution across six dimensions [2][11] - Qingyun Technology and Dongyangguang Group's "New Manufacturing Intelligent Computing Base" has been awarded as an excellent case for digital transformation in 2025 [2][11] Group 2 - The Qingyun AI computing platform has significantly improved Dongyangguang's R&D efficiency, reducing the drug molecule design cycle from 18 months to 12 months, a 33% improvement [3][12] - Cost savings of 400 million yuan annually have been achieved through computing power optimization and process upgrades, with operational management costs reduced by over 30% [3][12] Group 3 - Qingyun Yunyi Jie v6.0 has been launched, redefining IT infrastructure with a combination of AI Infra 3.0 and virtualization core, aiming for industry standardization and ease of use [3][12] - The platform has transitioned to a cloud-native technology system, enhancing scalability and compatibility with existing cloud ecosystems [4][13] Group 4 - KubeSphere v4.2.1 has been released, focusing on multi-cluster governance, resource management, and heterogeneous infrastructure management [5][14] - New features include node group capabilities and enhanced resource elasticity through vertical pod autoscaling and event-driven scaling mechanisms [5][14] Group 5 - QCE-ImageFlow has been introduced as an independent deployment tool, allowing seamless image management and resource migration without dependency on specific cloud versions [6][15] - The tool offers six core capabilities, including one-stop management of multiple image formats and flexible image export options [6][15] Group 6 - Qingyun Technology has been recognized as one of the top ten cloud brands in the 2025 Xinchang series evaluation, reflecting its strong market presence [6][15] - Qingyun Zhican has been included in the New Growth TOP 30 list, highlighting its technological breakthroughs and potential for scaling [8][17]

Core Viewpoint - The article emphasizes that the combination of the global wave and the artificial intelligence revolution presents significant opportunities for Chinese entrepreneurs, marking a new era of "AI+ going global" as a crucial theme for the future [3][5]. Group 1: AI and Global Expansion - The popularity of generative AI in China surpassed 35% in early 2024, indicating a significant breakthrough in AI technology adoption [3]. - The emergence of humanoid robots during the Spring Festival has brought attention to embodied intelligence, which is expected to become a trillion-dollar industry in China, succeeding the electric vehicle sector [3]. - The demand for cloud services has surged as Chinese companies increasingly view international expansion as a necessity rather than an option, with Alibaba Cloud projected to surpass AWS in growth index by 2025 [5]. Group 2: Stages of Chinese Companies Going Global - Chinese companies have undergone four waves of international expansion, with the current phase being characterized as "full-factor going global," where companies are not just exporting products but also relocating equipment, technology, talent, and capital [11][14]. - The first wave in the mid-1990s involved component manufacturers, followed by the second wave in the late 1990s with "Made in China" products. The third wave in the mid-2010s was marked by the rise of cross-border e-commerce [12][13]. - The current fourth wave sees AI companies inherently designed for global markets, diverging from previous models of internationalization [15]. Group 3: New Challenges for AI Companies - AI companies face unique challenges in their global expansion, as their initial setup is already geared towards international markets, unlike previous generations of companies [15]. - New entrepreneurs are leveraging AI technology to create products aimed at global markets from the outset, with companies like MiniMax achieving rapid success in overseas markets [16][18]. - Established companies like Meitu are also accelerating their international presence, with significant user growth driven by AI features [21][22]. Group 4: Complexities of Global Operations - Companies expanding internationally must navigate a complex landscape characterized by geopolitical tensions and a shift towards a multi-core world, which complicates standardization and compliance [28][29]. - The operational challenges include adapting to diverse regulatory environments and cultural differences across regions, necessitating flexible and adaptive strategies [30][35]. - AI companies require robust cloud infrastructure to support their global operations, with a focus on seamless deployment and compliance with local regulations [36][38]. Group 5: Role of Cloud Services - Alibaba Cloud has emerged as a leading choice for over 80% of Chinese companies going global, providing standardized global technology architecture and support [42]. - The company is investing significantly in AI infrastructure, with plans to establish data centers in multiple countries to support international operations [44]. - The future of cloud services will be critical for AI companies as they seek to establish a competitive edge in global markets, with a focus on operational efficiency and technological support [45][50].

Core Insights - The Tianjin First Central Hospital announced a tender for the "Rehabilitation District Upgrade and Transformation Project Cloud Platform and Core Application Construction Project" with a budget of 66.5 million yuan and a maximum price of 66.218841 million yuan [1][6]. Project Objectives - The project aims to build a core business system for the prevention and control base, based on cloud-native and integrated data lake and data middle platform, supporting features like openness, integration, sharing, and elastic expansion [3][10]. - The system will enhance data sharing and utilization, support scientific research, and improve management and operational efficiency [3][10]. Construction Content - The overall construction is divided into four main parts: cloud infrastructure construction, development of cloud-native software (data middle platform and core business system), network enhancement, and a local disaster recovery plan [5][13]. - The project will leverage the clinical resources of Tianjin First Central Hospital to enhance hospital management, quality control, and decision support through comprehensive information technology upgrades [13]. Bid Results - The bid results announced on February 6, 2026, indicated that Weining Health Technology Group Co., Ltd., in partnership with Tencent Cloud Computing (Beijing) Co., Ltd., won the bid with a price of 65.6 million yuan [6][15]. - The bidding rankings showed that Weining Health ranked first with a score of 95.7728, followed by Tianjin Kaixiang Intelligent Technology Co., Ltd. and China Broadcasting Tianjin Network Co., Ltd. [8][17].

Core Insights - Puyuan Information Technology Co., Ltd. has been awarded the title of "Outstanding Member Unit" by the Cloud Computing Standards and Open Source Promotion Committee, recognizing its significant contributions in standard formulation, technical ecology, and digital intelligence practices [1][3][9] - Several experts from Puyuan, including Gu Wei, Hao Yanfeng, and Ni Jian, received the "Outstanding Contribution Expert" honor, reflecting the company's commitment to industry empowerment and technical practice [1][3][9] Group 1: Recognition and Contributions - Puyuan's recognition as an "Outstanding Member Unit" is a testament to its role as a contributor to standard system construction and its expertise in the foundational platform field for large and medium-sized enterprises [3][10] - The company has been actively involved in the development of standards in areas such as cloud-native, low-code, intelligent integration, and digital intelligence foundation, addressing common pain points and solutions in key industries like advanced manufacturing, government, and finance [3][10] Group 2: Expert Involvement and Industry Impact - The honors received by Puyuan's experts highlight the company's comprehensive investment in technology research and industry empowerment, showcasing their capabilities and the company's service capacity [3][10] - Experts from Puyuan have participated in compiling the "Central State-Owned Enterprises Digital Intelligence Transformation Development Report," providing actionable transformation recommendations for enterprises [4][14] - Puyuan continues to focus on "standard-led, practical empowerment," leveraging its platform product systems to enhance selection accuracy and accelerate application delivery efficiency for clients [6][13]