算网融合
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“双芯算力+开放生态”,2025中国移动合作伙伴大会海光展现国产算力硬实力
Huan Qiu Wang· 2025-10-15 08:44
Core Insights - The 2025 China Mobile Global Partner Conference showcased the latest achievements and future plans of AI technology empowering various industries, with a focus on domestic chip solutions from Haiguang Information [1][3] - Haiguang Information presented its CPU, DCU (AI accelerator), and AI cluster solutions, emphasizing deep collaboration with China Mobile to provide mature practices and advanced directions for domestic computing power [1][3] Group 1: Product Offerings and Applications - Haiguang's computing products, including CPUs and DCUs, serve as the foundation for numerous digital services such as online shopping, mobile payments, and real-time video processing [3] - The "Water Resources Big Model Integrated Machine," developed in collaboration with China Mobile, utilizes Haiguang's DCU for flood warning and disaster prevention, demonstrating practical applications in various sectors [3][4] - Haiguang has also launched multiple integrated machines in voice intelligence, robotics, and government writing, indicating the extensive application of its DCU in digital transformation across industries [4] Group 2: Technical Innovations - Haiguang's C86 architecture addresses compatibility challenges faced by traditional software based on x86 architecture, allowing seamless migration without performance loss [4][5] - The C86 architecture is fully compatible with the x86 ecosystem, enabling efficient adaptation across various operating systems and cloud platforms, thus supporting millions of mainstream software applications [4][5] - Haiguang's CPU includes an independent security module that supports national encryption algorithms and privacy computing, enhancing data security in communication scenarios [7] Group 3: Future Plans and Vision - Over the next three years, Haiguang plans to increase R&D investment to accelerate the iteration of CPU and DCU technologies while fostering an open ecosystem for deeper software-hardware integration [6][7] - The company aims to create a flexible computing network that supports various scenarios, from data center model inference to real-time edge computing [8] - Haiguang envisions a future where computing power is as accessible as utilities, facilitating the digital transformation of various industries through intelligent connectivity [8]
海光信息亮相中国移动全球合作伙伴大会
Zhong Guo Jing Ji Wang· 2025-10-14 02:51
Core Insights - The 2025 China Mobile Global Partner Conference was held in Guangzhou from October 10 to 12, showcasing Haiguang Information as a key partner with its CPU+DCU products and comprehensive solutions [1] Group 1: Product Highlights - Haiguang's AI cluster solution offers efficient support for super node systems, enhancing AI application storage performance and liquid cooling system design [3] - The high-performance interconnect bus protocol developed by Haiguang breaks down barriers between CPUs and accelerators, featuring high bandwidth, low latency, and cache coherence [3] - Haiguang's multi-dimensional security solution aims to safeguard the construction of the computing power ecosystem [1][3] Group 2: Strategic Collaborations - Haiguang has established a nationwide IT cloud, CT cloud, and public cloud computing base in collaboration with three major telecom operators [3] - The company plans to continue developing a more flexible computing-network integration system to provide reliable "core" solutions for communication business innovation [3]
全球AI算力需求“井喷” “全光运力”成为新宠
Zhong Guo Jing Ying Bao· 2025-10-02 08:31
Core Insights - The rapid growth of AI applications, such as large model training and smart driving, is driving the demand for ultra-high bandwidth, low latency, and high reliability in network transmission solutions, leading to the emergence of "all-optical capacity" as a core infrastructure for the digital economy [1][2][3] Industry Trends - The demand for computing power is expected to grow significantly, with China's intelligent computing power projected to reach 1,037.3 EFLOPS by 2025, a 43% increase, and 2,782 EFLOPS by 2028, with a compound annual growth rate exceeding 40% [2] - The integration of optical technology into the entire computing power chain is essential to overcome traditional network limitations in bandwidth, latency, and reliability [2][3] Company Developments - Major companies like China Unicom and China Mobile are actively enhancing their optical networks to support low-latency computing, with initiatives such as the "AINet" and "Jiuzhou" projects aimed at improving capacity and coverage [4][5] - Huawei is promoting the "Optical Intelligence Integration" concept, focusing on building a millisecond-level capacity foundation through advanced optical network technologies [5] Market Performance - The optical module sector is experiencing significant growth, with companies like Zhongji Xuchuang reporting a 46% year-on-year increase in optical communication module sales, driven by strong demand for high-end products [6] - NewEase achieved remarkable revenue growth of 282.64% year-on-year in the first half of 2025, indicating a robust market for optical modules [7]
2025第八届工业互联网创新发展大会即将启幕
Sou Hu Cai Jing· 2025-09-28 13:22
Core Insights - The 8th Industrial Internet Innovation Development Conference will be held in Huangshi on October 24, 2025, focusing on the digital transformation of small and medium-sized enterprises (SMEs) and the integration of industrial internet technologies [1][5] - The conference aims to promote the deep integration of artificial intelligence and industrial internet, enhancing the quality and efficiency of manufacturing and SMEs [3][4] Group 1: Conference Overview - The conference will feature a theme of "AI Integration, Digital Intelligence Rebirth," focusing on three dimensions: "Artificial Intelligence + Industrial Internet," promotion of SME digitalization, and innovation in network integration [3][4] - A diverse activity matrix will be set up, including an opening ceremony, three thematic forums, and three major exhibition areas to showcase advancements in industrial internet and AI applications [3][4] Group 2: Industry Development - Huangshi has selected 346 provincial pilot enterprises for digital transformation, with 190 already completed, and has cultivated 36 national-level industrial internet pilot honors [1][4] - The city has initiated the construction of "10 Gigabit Cities" and "AI Cities," significantly accelerating the development of new productive forces [1][4] Group 3: Goals and Impact - The conference aims to establish a replicable model for SME digital transformation in Huangshi, contributing to high-quality development in China's manufacturing sector and new industrialization [5] - The event will gather experts and representatives from various fields to share the latest technological research and practical applications, fostering innovation and collaboration [4][5]
我国光通信进入千兆普及、万兆试点新阶段,算网融合加速
Bei Ke Cai Jing· 2025-09-27 07:48
Core Insights - The 2025 China International Information and Communication Exhibition highlighted the critical phase of deep integration between all-optical capacity and computing networks, emphasizing "low latency, high reliability, and wide adaptability" as industry consensus [1][2] - The demand for computing power is surging due to various digital applications, making all-optical capacity a fundamental support for the development of the digital economy [1] - The goal of current all-optical capacity development is to promote continuous innovation and facilitate the deep integration of computing power across industries [1] Industry Developments - The three major telecom operators in China are transitioning from "network deployment" to "network optimization," with China Unicom developing "Computing Power Intelligent Network AINet," China Mobile upgrading its "Jiuzhou" computing optical network, and China Telecom advancing its All-Optical Network 3.0 [2] - China Telecom's All-Optical Network 3.0 strategy aims for deep integration of optical networks and cloud resources, creating an efficient and intensive all-optical connection base for computing, storage, and transport resources [2] Technological Innovations - "Optical Intelligence Dual Empowerment" is identified as a key direction for overcoming the bottlenecks in the integration of computing and networking [2] - Huawei's AI-OTN focuses on "Optical Intelligence Integration" to establish a millisecond-level capacity base, enabling on-demand access to computing power and integrating intelligent technologies into optical networks for advanced self-intelligence evolution [2] Reports and Standards - The China Academy of Information and Communications Technology released several reports, including the "Computing Network Carrying Capacity Index Assessment Report (2025)" and the "High-Quality All-Optical Computing Power Dedicated Line Research Report (2025)" [3] - The reports emphasize actions to promote millisecond interconnection of computing centers, millisecond access to computing resources, and millisecond availability of computing applications, enhancing the end-to-end connectivity capabilities of networks [3]
中科驭数CEO鄢贵海:DPU构建新一代AI网络的优势与关键技术
Zheng Quan Ri Bao Wang· 2025-09-24 12:49
本报记者 梁傲男 近日,在新一代计算标准工作委员会主办的"新一代计算产业大会"上,中科驭数(北京)科技有限公司(以下简称"中科 驭数")CEO鄢贵海带来题为《数据处理器(DPU)构建新一代AI网络的优势与关键技术》的主题报告。 "之前我们做过一个比喻:如果把CPU比做大脑、那么GPU就好比是肌肉,DPU是神经中枢。CPU承载了应用生态,决定 了计算系统是否可以通用;GPU提供了大量不同精度要求的算力,决定了系统是否有足够的'力量';DPU负责数据在各种CPU 和GPU之间高效流通,决定了系统是否能协同工作。"鄢贵海表示。 他认为,随着人工智能的快速发展,传统计算架构已经无法满足海量数据的处理需求,基于DPU高速网络的新一代计算架 构成为提升效能的关键。DPU通过卸载GPU的计算负担、优化数据预处理、加速通信和存储任务,正成为大模型训练和推理的 重要助力。 四是面向AI集群的后端网络网卡,特点是支持Scale-Out的高性能RDMA网卡和支持Scale-Up的高性能网卡,前者兼容RoCE 协议,后者将支持基于各种GPU构造算力的超节点。当前主力产品是FlexFlow 2200R。 据记者了解,以上产品传输数据带 ...
光模块产业链 多家上市公司谋求扩产
Zheng Quan Ri Bao· 2025-09-22 23:34
Core Viewpoint - The announcement by Huigreen Ecological Technology Group regarding the lease agreement for a photonic industry park reflects a broader trend of capacity expansion in the optical module industry, driven by surging AI computing demands [1] Industry Expansion - The optical module industry is experiencing a wave of capacity expansion, with major companies focusing on technological upgrades and production capacity to seize market opportunities [2][3] - Huigreen Ecological has signed contracts to build production bases for 450 million optical modules with a total investment of 700 million yuan, indicating significant growth in production scale and technology [2] - Other companies like Shanghai Cambridge Technology and Zhongji Xuchuang are also ramping up production of high-end products, including 1.6T and 800G optical modules, to meet rising demand [2] Market Demand and Growth - The demand for 400G and 800G optical modules remains strong, with the 1.6T optical module expected to become a key growth driver by 2025 [2] - The global optical module market is projected to grow from $11.2 billion in 2020 to $17.8 billion in 2024, with a compound annual growth rate of 12.2% [3] - In China, the optical module market is expected to reach approximately 70 billion yuan by 2025, reflecting a growth of 12.22% from the previous year [3] Performance Metrics - Leading domestic optical module companies have reported significant sales growth, with Xinyi Sheng's sales volume reaching 6.95 million units in the first half of 2025, a year-on-year increase of 112.5% [4] - Huagong Technology reported a revenue of 3.744 billion yuan from its connectivity business in the first half of 2025, a 124% increase year-on-year, with expectations of substantial growth in AI-related optical module shipments [4] Supporting Factors - The growth in the optical module industry is supported by a surge in AI computing infrastructure both domestically and internationally, with major tech companies increasing their procurement of high-speed optical modules [5] - Policy support from the Chinese government, including guidelines for enhancing data infrastructure, is expected to further stimulate the optical module market [5] - The long-term opportunities in the optical module industry are driven by the continuous iteration of AI technology, expanding demand, and supportive policies [5]
“麒麟方队”亮相产学研合作对接大会
Xin Hua Ri Bao· 2025-09-15 01:01
Group 1 - The Jiangsu Industry-University-Research Cooperation Conference aims to promote deep integration of technological and industrial innovation, serving as a platform for high-end innovation resource aggregation and technology achievement transformation [1][6] - The conference featured the "Kirin Team" from the Nanjing Kirin Science and Technology Innovation Park, showcasing multiple latest achievements from five research institutes affiliated with the Chinese Academy of Sciences, indicating the growing influence of national strategic scientific forces [1][2] - The theme of this year's conference is "Technology Empowering New Quality Productivity, Innovation and Integration Development Leading the Way," with various activities organized to facilitate deep connections among the technology, industry, and finance sectors [1][6] Group 2 - The Nanjing Mobile Communication and Computing Innovation Research Institute presented a comprehensive system equipment platform for integrated information networks, achieving breakthroughs in low-orbit satellite communication technology [2][3] - The research institute has successfully incubated nearly 30 satellite communication-related enterprises, including 10 high-tech companies, focusing on satellite communication and low-altitude self-organizing networks [2][3] - The "Information High-speed Rail Comprehensive Experimental Infrastructure" was highlighted as a significant research facility, aimed at providing a comprehensive experimental environment for the integration of computing and networking [2][3] Group 3 - The Nanjing Information High-speed Rail Research Institute showcased two key products: an AI development platform that supports over 50 major scientific research models and a model factory service platform for AI integration [3][4] - The Future Energy Systems Research Institute presented advanced energy storage technologies, including a 100MW advanced compressed air energy storage system, which is the first of its kind with complete independent intellectual property rights [3][4] Group 4 - The Nanjing Software Technology Research Institute introduced a major open-source software infrastructure, which has become the largest open-source software governance platform in China, supporting over 80 leading enterprises [4][5] - The Nanjing Life Health Research Institute showcased advanced products in the fields of innovative vaccines and high-end medical devices, including a broad-spectrum influenza vaccine with a unique design [5][6] Group 5 - The Nanjing Kirin Science and Technology Innovation Park has become a significant hub for innovation resources outside Beijing, with multiple major scientific and technological infrastructure projects focusing on critical core technologies [5][6] - The park is actively implementing actions to build an industrial technology innovation highland, aiming to convert high-end innovation resources into high-quality development momentum [6]
2025年中国联通算网融合CDN技术研究白皮书
Sou Hu Cai Jing· 2025-09-06 10:03
Group 1 - The white paper published by China Unicom Research Institute in August 2025 focuses on the integration of computing and networking (算网融合) CDN technology, analyzing the research background, development status of Unicom's CDN, key technologies, and future directions to provide industry references [1][5][8] - The Internet 2030 initiative promotes the construction of new digital infrastructure, with the integration of computing and networking as a key feature that empowers CDN development, especially with the increasing demand for differentiated services in emerging video applications [1][18] - As of May 2024, the proportion of active IPv6 users in China reached 72.70%, with significant improvements in the deployment of IPv6 nodes by CDN companies, laying a foundation for network development through IPv6+ technology [1][31][32] Group 2 - China Unicom's CDN development includes the launch of a new self-developed CDN product in July 2024, with nodes deployed in core data centers, covering all provinces and serving top enterprises [1][39] - The intelligent CDN development is planned in three stages: 1.0 focuses on building data center CDN; 2.0 utilizes MEC and BNC to develop edge CDN; 3.0 aims to integrate AI edge inference with CDN [1][40][41] - The edge CDN is categorized into three types: fixed network edge CDN, mobile network edge CDN, and integrated edge CDN, enhancing user experience through node sinking, intelligent scheduling, and tiered guarantees [1][45][48] Group 3 - Key technologies for the integration of computing and networking CDN include SRv6 routing optimization, application-aware CDN, and unified transport protocols, which enhance efficiency and reduce latency [2][29] - The SRv6 technology can reduce routing adjustment periods from three minutes to one second, achieving a latency reduction of 20% to 30% [2][29] - The application-aware CDN, based on APN technology, breaks the traditional separation between CDN and network, providing acceleration services at three "Mile" points to address operational pain points for telecom networks [2][29] Group 4 - The demand for bandwidth is expected to grow exponentially due to the rise of ultra-high-definition video applications, with 4K video requiring bandwidth between 22.5M to 75M and 8K video requiring 90M to 300M [1][43][44] - The rapid growth of internet data traffic, particularly driven by video services, necessitates the development of edge CDN solutions to alleviate pressure on backbone networks [1][44] - China Unicom aims to leverage its MEC operations to develop intelligent CDN solutions that support ultra-high-definition and low-latency content distribution [1][44][52]
算力专题:中国联通算网融合CDN技术研究白皮书
Sou Hu Cai Jing· 2025-09-06 04:40
Core Insights - The report titled "China Unicom's Computing and Network Integration CDN Technology Research White Paper (2025)" focuses on the development and application of CDN technology under the trend of computing and network integration, addressing the bandwidth and low-latency demands of emerging video applications such as ultra-high-definition 3D live streaming, XR, and cloud gaming [1][12]. Group 1: Research Background - "Internet 2030" outlines six key features, including full interconnectivity and computing-network integration, emphasizing the need to break down barriers between computing, data, and networks [1][17]. - CDN has evolved through three stages: traditional transmission, content distribution, and integration with network operations, necessitating collaboration with underlying networks for effective computing-network integration [1][22]. - As of May 2024, there are 794 million active IPv6 users in China, with 96.14% of typical CDN companies having completed IPv6 node upgrades, laying a foundation for CDN advancements [1][26][28]. Group 2: China Unicom CDN - Cloud Universe Technology Co., Ltd., a joint venture between China Unicom and Tencent, focuses on CDN and edge computing, supporting the construction and development of China Unicom's CDN network [1][32]. - China Unicom's CDN network has been established nationwide, serving top domestic internet companies and mobile manufacturers, with plans to expand to cover all prefecture-level cities within three years [1][35]. - The development of China Unicom's intelligent CDN is planned in three phases: 1.0 focuses on traditional content distribution, 2.0 leverages MEC and BNC for low-latency video services, and 3.0 aims to integrate AI edge inference with CDN and MEC for real-time content distribution [1][38]. Group 3: Key Technologies in Computing-Network Integration CDN - SRv6 routing optimization reduces dynamic acceleration latency by 20%-30% by slicing forwarding paths and constructing low-latency acceleration channels [1][25]. - Application-aware CDN utilizes APN technology to deeply integrate business distribution and network scheduling, addressing the traditional disconnect between CDN and networks [1][24]. - Unified transport protocols focus on QUIC and MoQ, providing standards for AIGC content distribution, supporting low latency and publish/subscribe models [1][29].