刘薇告诉记者："未来我们将继续与部队捆绑在一起，更好地服务部队。" "在前期的验收评估中，我们预研项目的各节点均已按时完成，整体进度提前约半年。"中心科研处 参谋董忠言介绍。 "想设计出一件好的战争工具，必须先思考下次战争的形态模样。但是再先进的理念，如果不能物 化形成手中装备，也只是空谈。"该中心领导说。为此，该中心党委派遣科研人员深度融入任务一线， 和部队捆绑作战，争取最大共识，在需求提报、进程把控、验收交付等方面形成合力。 在某任务一线，该中心某研究室副研究员刘薇带领团队深入开展"网信+感知"赋能体系研究，持续 提升实战环境下实时发现、精准识别、跨域融合、快速服务能力。他们充分发挥公共服务平台体系融 合、全域支撑能力优势，构建网信赋能战场感知全新模式。 通过一年来的集体攻关，他们将侦察测绘分散的"数据烟囱"，转化为统一的"态势拼图"和统一 的"事实源"，获得一线单位一致好评。 近日，国防科技大学超级计算实验室内，信息支援部队某中心副研究员胡海彦正带领科研人员，详 细了解参数指标，抓紧时间对某军事智能预研项目进行完善，为研究结题做最后冲刺。 科技日报记者了解到，在他们的推动下，"量子+超算"这一强强组合正 ...

通过一年来的集体攻关，他们将侦察测绘分散的"数据烟囱"，转化为统一的"态势拼图"和统一的"事实 源"，获得一线单位一致好评。 刘薇告诉记者："未来我们将继续与部队捆绑在一起，更好地服务部队。" "在前期的验收评估中，我们预研项目的各节点均已按时完成，整体进度提前约半年。"中心科研处参谋 董忠言介绍。 "想设计出一件好的战争工具，必须先思考下次战争的形态模样。但是再先进的理念，如果不能物化形 成手中装备，也只是空谈。"该中心领导说。为此，该中心党委派遣科研人员深度融入任务一线，和部 队捆绑作战，争取最大共识，在需求提报、进程把控、验收交付等方面形成合力。 在某任务一线，该中心某研究室副研究员刘薇带领团队深入开展"网信+感知"赋能体系研究，持续提升 实战环境下实时发现、精准识别、跨域融合、快速服务能力。他们充分发挥公共服务平台体系融合、全 域支撑能力优势，构建网信赋能战场感知全新模式。 近日，国防科技大学超级计算实验室内，信息支援部队某中心副研究员胡海彦正带领科研人员，详细了 解参数指标，抓紧时间对某军事智能预研项目进行完善，为研究结题做最后冲刺。 科技日报记者了解到，在他们的推动下，"量子+超算"这一强强组合正 ...

A股全天震荡走强，沪指上涨1.5%再创近十年新高。盘面上，软件概念股持续拉升，同花顺涨超12%， 指南针涨超9%，财富趋势涨超8%。 值得注意的是，Wind数据显示，2025年软件ETF（159852）累计净流入资金近44亿元。 有分析认为，当前，中国软件和信息技术服务业正从规模扩张向高质量发展阶段全面迈进。一方面，国 内产业数字化进入深水区，工业互联网、智慧城市等场景对软件的可靠性、安全性和智能化水平提出更 高要求。另一方面，以生成式人工智能（AIGC）、大模型、云原生及开源协作等为代表的新兴技术快 速迭代，正成为驱动行业转型升级的关键引擎。 此外，在当前全球科技竞争日益激烈的背景下，基础软件的自主可控不仅是国家安全的需求，也是产业 可持续发展的必然选择。未来基础软件企业将面临更高的技术要求和更强的竞争压力，但也意味着更多 的市场机遇。 （文章来源：每日经济新闻） 受盘面影响，跟踪中证软件服务指数的软件ETF（159852）上涨2.46%。 基本面上，工信部发布的2025年1~11月份软件业运行情况显示，2025年前11个月，我国软件和信息技术 服务业运行态势良好，软件业务收入稳健增长，利润总额增势放缓，软 ...

Core Insights - The launch of 嘉立创's ECAD electrical design software marks a significant shift in the industrial software landscape, transitioning from expensive "production materials" to accessible "infrastructure" [1][13] - 嘉立创's strategy integrates software, hardware, and marketplace, allowing for a seamless design-to-manufacturing process, which enhances efficiency and reduces costs for engineers [9][10] Group 1: Industry Transformation - The industrial software sector, particularly in electrical design, has been hindered by high licensing fees and fragmented collaboration methods, making it difficult for small and medium enterprises to digitize [2][5] - 嘉立创's ECAD introduces a "cloud-native" approach that redefines the electrical design paradigm, enhancing efficiency through features like automatic wiring and intelligent placement, allowing engineers to focus on logical design rather than manual tasks [3][5] Group 2: Collaborative Revolution - The cloud-based architecture of ECAD facilitates real-time collaboration among engineers, eliminating common issues like version conflicts and data loss, and establishing a unified data foundation [5][10] - The integration of a standardized symbol and component library, which currently includes 280,000 items, creates a strong network effect, enhancing the overall design process [5][7] Group 3: Standardization and Global Competitiveness - ECAD's built-in compliance with IEC international electrical standards enhances the competitiveness of Chinese manufacturing in global markets, serving as a foundational tool for industry collaboration [7][10] Group 4: Business Model Innovation - 嘉立创's business model contrasts with traditional software companies that rely on licensing fees; instead, it positions software as an entry point to a comprehensive manufacturing and supply chain ecosystem [9][10] - This model not only reduces software costs for enterprises but also minimizes the complexities associated with BOM matching and procurement, creating a robust ecological moat [10][12] Group 5: Ecosystem Development - The launch of ECAD signifies 嘉立创's evolution from an electronic-level to an electrical-level software ecosystem, covering the entire lifecycle of hardware innovation [11][12] - The ecosystem's value is reflected in data security, a thriving open-source hardware community, and talent cultivation through partnerships with over 400 universities, establishing a strong foundation for future hardware innovation [12]

相关上市企业：深信服（300454）、迪普科技（300768）、信安世纪（688201）、中创软件 （688695）、阿里巴巴（09988）、腾讯控股（00700） 内容概况：当前，中国负载均衡器行业正经历技术快速迭代与国产化加速替代并行的关键发展期。在数 字化转型全面深入、云计算成为主流基础设施、5G与边缘计算场景需求集中爆发的多重因素驱动下， 行业市场规模持续扩容，2024年，中国负载均衡器行业市场规模约为186.5亿元，同比增长6.88%。这一 增速不仅反映出市场对流量调度与业务高可用解决方案的刚性需求，更标志着国内厂商凭借在软件定义 与云原生架构方面的创新，国产化替代进程已从政策引导阶段迈入规模化应用与份额提升的新阶段。 相关企业：龙芯中科技术股份有限公司、海光信息技术股份有限公司、长鑫存储科技股份有限公司、深 圳欧陆通电子股份有限公司、麦格米特电气股份有限公司、深圳市飞荣达科技股份有限公司、深圳市科 达利实业股份有限公司、北京东方通科技股份有限公司、宝兰德软件股份有限公司、奇安信科技集团股 份有限公司、恒生电子股份有限公司、金证科技股份有限公司 关键词：负载均衡器、负载均衡器市场规模、负载均衡器行业 ...

山东中创软件商用中间件股份有限公司 关于变更募集资金投资项目的公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性承担法律责任。 重要内容提示： ● 山东中创软件商用中间件股份有限公司（以下简称"中创股份""公司"）于2025年12月15日召开第七届 董事会第十三次会议，审议通过了《关于变更募集资金投资项目的议案》，同意对公司首次公开发行股 票募集资金项目总投资规模、募集资金投资项目实施方式、实施地点、投资结构及建设周期等情况进行 调整。保荐人开源证券股份有限公司和国联民生证券承销保荐有限公司对本事项出具了无异议的核查意 见。 ● 本次募集资金投资项目变更尚需提交公司股东会审议。 一、募集资金基本情况 根据中国证券监督管理委员会于2023年5月11日出具的《关于同意山东中创软件商用中间件股份有限公 司首次公开发行股票注册的批复》（证监许可（2023）1066号），山东中创软件商用中间件股份有限公 司获准向社会公开发行人民币普通股（A股）2,126.2845万股，每股发行价格为人民币22.43元，募集资 金总额为47,692.56万元；扣除各 ...

Core Insights - The article emphasizes the rapid evolution of large language model (LLM) inference services into core enterprise infrastructure, focusing on the balance of performance, stability, and cost in building high-performance inference systems [2] - It discusses the transition from monolithic to distributed architectures in LLM inference, highlighting the need for external KVCache to alleviate memory pressure and enhance performance in high-demand scenarios [2][4] Distributed KVCache and Mooncake - Mooncake is introduced as a leading distributed KVCache storage engine designed to provide high throughput and low latency for inference frameworks like SGLang [3] - The article outlines the challenges in managing distributed KVCache systems in production environments, which necessitate the development of RoleBasedGroup (RBG) for unified management of caching and inference nodes [4] RoleBasedGroup (RBG) Design and Challenges - RBG is presented as a Kubernetes-native API aimed at AI inference, facilitating multi-role orchestration to ensure stable and high-performance operations [4][12] - The article identifies five fundamental challenges in deploying large model inference services, including the need for strong state management and performance optimization [12][15] SCOPE Framework - The SCOPE framework is introduced, focusing on five core capabilities: Stability, Coordination, Orchestration, Performance, and Extensibility, which are essential for managing LLM inference services [16][18] - RBG's design allows for rapid architecture iteration and performance-sensitive operations, addressing the complexities of multi-role dependencies and operational efficiency [15][24] Benchmark Testing and Performance Metrics - Benchmark tests demonstrate significant improvements in KVCache hit rates and inference performance, with L3 Mooncake cache achieving a 64.67% hit rate and reducing average TTFT to 2.58 seconds [32][48] - The article highlights the importance of a multi-tier caching architecture in enhancing performance for applications like multi-turn dialogue and AI agents [44] Conclusion and Future Outlook - The integration of RBG and Mooncake is positioned as a transformative approach to building production-grade LLM inference services, emphasizing the need for deep integration of high-performance design with cloud-native operational capabilities [43][44] - The article concludes with a call for community collaboration to advance this paradigm and lay the foundation for the next generation of AI infrastructure [43]

"磐石行动"网络安全实战攻防活动已成功举办5年。本届"磐石行动"首次采用"百舸争流+密盒挑 战"的全新赛制，并围绕AI安全、防勒索、防钓鱼三大关键领域开设了专项赛道，汇聚了来自全国58支 顶尖攻击队伍和187支防守队伍，参加人员近4000人。 凭借自研的互联网威胁捕获系统，平安壹钱包在实战防守演练中，成功溯源攻击者真实身份，高效 处置攻击事件，展现了卓越的应急能力，并高分斩获仅5家企业有能力角逐的"卓越应急奖"。 平安壹钱包是平安集团旗下综合服务平台，协同平安旗下成员公司为客户提供覆盖金融支付、积分 权益、公务消费、商城购物、员工福利等多元领域的数字服务，赋能合作伙伴客户经营提升。 近日，上海市通信管理局联合市委网信办、市经信委、市公安局等共同组织召开"铸网2025"暨"磐 石行动"2025年上海市工业和信息化领域网络安全实战攻防活动总结大会。大会通报总结了本次攻防演 练成果，并对表现突出的单位予以表彰。平安壹钱包在为期10天的实战活动中防守表现优异，荣获"卓 越应急"企业奖和"优秀个人"称号。 近年来，高质量的信息安全防御已成为平安的数字竞争力之一，为构建完善的信息安全管理架构、 保障数亿平安客户金融服务安 ...

Core Insights - The article discusses how companies can leverage AI to enhance operational efficiency and quality while driving intelligent operations, focusing on Tencent Music's practices in AIOps [1][2] - The upcoming AICon event aims to explore the integration of AI into business operations, emphasizing the creation of scalable and commercializable AI systems [1][36] Group 1: AI Integration in Operations - Tencent Music has multiple applications catering to different user groups, supported by a collaborative development team focused on foundational capabilities like microservices and observability [2] - The company is exploring innovative AI applications to improve user experience while integrating AI with existing technology frameworks to enhance engineering systems [2][3] - The exploration of AI is centered around three traditional elements: quality, efficiency, and cost, with a focus on generating tangible value through AI [3] Group 2: AIOps Implementation - The AIOps framework is structured around perception, decision-making, and execution, aiming to leverage AI capabilities for measurable outcomes [3] - The DevOps framework is crucial for continuous integration, delivery, and operations, allowing developers to focus on coding while standardizing other processes [6] - The SRE system aims to ensure the effectiveness and controllability of changes during deployment, alongside the continuous improvement of the SLA system to maintain business quality [6][7] Group 3: Alarm Management and AI Optimization - The company has significantly reduced the number of alarm calls from over 3,000 to around 200 per month by enhancing the effectiveness of monitoring data and implementing the 3-Sigma algorithm [11][15] - AI is utilized to analyze alarm types and root causes, with a workflow that includes problem analysis, plugin invocation, and knowledge base integration to generate solutions [20][21] - A comprehensive classification of alarms has been established, with AI automatically tagging them, revealing that business logic errors account for approximately 40% of issues [25][27] Group 4: Data and Customization - A complete data banking system has been developed to unify data collection and analysis, enhancing root cause analysis capabilities within the AIOps framework [30] - The company is focusing on standardizing business systems, particularly return codes, to improve operational efficiency and response to alarms [28] - Custom alarms for specific business lines are being developed, with an emphasis on ensuring AI understands their meanings and can provide comprehensive solutions [28][30] Group 5: Future Directions in AIOps - Future initiatives include enhancing intelligent Q&A systems, automating execution based on AI conclusions, and upgrading algorithms to improve alarm accuracy [32][35] - The strategic approach for AIOps development is to integrate cloud-native and intelligent analysis to create a more advanced and valuable AI system [35]

Group 1: Company Overview and Operations - The company has over 20 years of experience in the CDN business, with more than 2,800 CDN nodes globally [2] - The company is transforming its CDN nodes into edge computing nodes that support storage, computing, transmission, and security functions [2] - The company has established an edge computing platform (ECP) and launched multiple edge computing products [2] Group 2: Research and Development - In 2024, the company's R&D investment is projected to be 447 million CNY, accounting for 9.07% of its revenue [3] - Future R&D efforts will focus on core businesses, particularly CDN, edge computing, and security [3] Group 3: Market Expansion and Strategy - The company is expanding its CDN and security products internationally, targeting industries such as live streaming, e-commerce, and gaming [3] - A subsidiary was established in Dubai to enhance business expansion in the Middle East, aligned with the Belt and Road Initiative [3] Group 4: AI and Technological Development - The company is focusing on edge computing as a critical infrastructure for AI, developing an edge AI platform with a four-layer capability matrix [3] - The company is closely monitoring developments in large models, intelligent agents, and AI applications to adapt its technology solutions to customer needs [3] Group 5: Management and Governance - The management's stock reduction in May was due to personal financial needs, with subsequent plans not implemented and progress disclosed [3]