算力调度平台

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沈阳人工智能中心启用
Liao Ning Ri Bao· 2025-10-11 02:14
"从单机调度到全局调度,从单一计算方案到混元异构计算方案,从物理中心到通联通算,可以说,算 力调度平台适配几乎全部主流算力需求。"沈阳人工智能中心相关负责人韩少野说,"对企业来说,算力 资源如水电般'即取即用',获取AI服务如同点外卖般便捷。比如,我们将算力服务'云化',提供小时级 的量化订单,客户可自由选配计算方案,直达AI应用场景。" 凭借强大的算力调度平台、多元稳定的计算服务,沈阳人工智能中心已经吸引部分AI生态集聚。当 日,中心所在的和平湾数字经济总部基地同步开园,十余家行业标杆机构、项目已经落户或运营,包括 中国计算机学会沈阳联合科创中心、阿里达摩院、商本(沈阳)大数据、和平湾虚拟现实研究院等。 据介绍,中国计算机学会沈阳联合科创中心将联合国家重点实验室、AI头部企业及高校集群,打造面 向AI产业链的"产学政研用"一体化创新园区;已正式运营的和平湾虚拟现实研究院发布"3D数字孪生内 容标注系统";商本(沈阳)大数据带来"兆亿企业级数据库+自研AI智能体BizThink";辽宁省鸿蒙生态 创新中心、沈阳市数字产业知识产权运营中心也将陆续入驻,数字经济产业链与创新链将进一步完善。 责编:李莹 审核:刘立 ...
实达集团:2.3亿元中标克融云智算中心二期二标段
Zheng Quan Shi Bao Wang· 2025-09-23 06:15
Core Insights - The successful bid for the second phase of the Kelong Cloud Intelligent Computing Center by Shida Group amounts to 230 million yuan, marking a significant achievement in the company's strategic expansion in the intelligent computing market [1][2] - The Kelong Cloud Intelligent Computing Center, located in Karamay, Xinjiang, is positioned as a new type of public computing infrastructure aimed at enhancing the digital economy and technological innovation in the region [1] Company Developments - Shida Group has been actively involved in the deployment of intelligent computing infrastructure, aligning with the national strategy for large-scale deployment of intelligent computing facilities [1] - The company has successfully undertaken several key projects in 2024, including the first phase of the Kelong Cloud Intelligent Computing Center and the Fuzhou Gulou Intelligent Computing Center [1] - In the first half of the year, Shida Group enhanced the Kelong Cloud Intelligent Computing Center by introducing higher-performance inference servers, significantly improving its capabilities in high concurrency and low latency scenarios [1] Market Positioning - The recent project win is a testament to Shida Group's comprehensive competitive strength and technical service capabilities in the intelligent computing market [2] - The company aims to leverage its experience and advantages in the intelligent computing sector to continue expanding its market presence across the country [2]
实达集团:预中标克融云智算中心二期项目 持续深化智能算力领域战略布局
Zhong Guo Zheng Quan Bao· 2025-09-17 11:17
Group 1 - The core viewpoint of the articles highlights the strategic advancements of Shida Group in the intelligent computing sector, particularly in response to the growing demand for AI computing power driven by the rapid development of artificial intelligence technologies [1][2]. - Shida Group has won bids for significant projects, including a bid of 230 million yuan for the second phase of the Kelong Cloud Intelligent Computing Center and 35.98 million yuan for a virtual power plant project [1]. - The company is actively increasing its investment and layout in the intelligent computing field, focusing on developing a computing scheduling platform and enhancing the usability of its container cloud platform [1][2]. Group 2 - Shida Group is committed to maintaining an annual R&D investment of over 8% of its revenue, with a focus on breakthroughs in AI application scenarios, computing services, digital education, and data flow [3]. - The company has successfully undertaken key projects in 2024, including the Kelong Cloud Intelligent Computing Center and the Fuzhou Gulou Intelligent Computing Center, enhancing its capabilities in high concurrency and low latency scenarios [2]. - As of mid-2023, Shida Group holds 68 valid patents and 134 software copyright certificates, showcasing its commitment to innovation and technology development [2].
数算用一体化!GBAnexus粤港澳大湾区大数据中心亮相
Nan Fang Du Shi Bao· 2025-08-28 08:18
Group 1 - The GBAnexus Guangdong-Hong Kong-Macao Greater Bay Area Big Data Center was officially launched at the China International Big Data Industry Expo on August 28, 2025, serving as a national-level public data infrastructure and marking a new stage in the collaborative development of the digital economy [1][3] - GBAnexus aims to be a benchmark for data infrastructure serving the "Digital Bay Area," utilizing an integrated service model that connects data elements, computing resources, and industrial applications to provide lifecycle data services and flexible computing support [3][4] - The center has established a core architecture consisting of a trusted data circulation platform, a computing scheduling platform, and various application scenarios, focusing on industrial manufacturing and technology industry intelligence [3][4] Group 2 - GBAnexus has achieved significant milestones, including the completion of its core technical architecture and the integration of resources, aggregating over 100 billion industry data resources from the Greater Bay Area, with a total data volume exceeding 40 billion records [3][4] - The center has developed a product matrix that addresses data security needs across different industries, creating a closed loop that transforms the integrated service model into tangible value for enterprises, providing a "one-stop" solution for the digital transformation of industries in the Bay Area [4] - Future plans include expanding service coverage to key industries such as industrial manufacturing and biomedicine in the short term, replicating the integrated service model in key regions in the medium term, and striving to establish a benchmark for national-level data infrastructure construction in the long term [4]
云工场(02512)发布中期业绩 净利润1492.3万元 同比增长18.97%
智通财经网· 2025-08-27 14:29
Core Viewpoint - The company reported a revenue of RMB 407 million for the six months ending June 30, 2025, representing a year-on-year growth of 10.03%, and a net profit of RMB 14.92 million, up 18.97% year-on-year, with earnings per share of RMB 0.03 [1] Group 1: Business Strategy and Development - The company is shifting its focus from building edge computing infrastructure to developing scenario-based edge computing applications and deep integration with various industries [1] - The company has strengthened its core strategy of "Edge Cloud + AI Services" in response to the industry trend of integrating edge computing with AI [1] - The company has deployed nodes across the country to create a "10-kilometer low-latency computing service circle" that supports localized computing power and achieves network integration [1] Group 2: New Services and Solutions - In the first half of 2025, the company successfully launched multiple new services, including the EdgeAIStation service, which adapts mainstream AI models to the computing platform [2] - The company introduced a private deployment solution for large AI models, allowing enterprise clients to build exclusive knowledge bases and benefit from integrated, secure, and efficient AI solutions [2] - A one-stop power scheduling solution was launched, capable of managing diverse computing resources, including GPUs, NPUs, and FPGAs, simplifying customer operations [2] Group 3: Recognition and R&D Achievements - The company's efforts have been recognized by clients and leading institutions, collaborating with industry leaders and universities to provide edge computing and AI model development services [3] - The company has been ranked among the top 20 edge computing companies in China for three consecutive years and has been included in the "2025 Government Industry Trust Ecology Map" [3] - In R&D, the company developed real-time video stream intelligent analysis technology using computer vision models and advanced cloud-edge collaborative intelligent IoT systems [3]
2025年算力调度平台行业:优化计算资源,支撑AI应用
Tou Bao Yan Jiu Yuan· 2025-08-22 12:29
Investment Rating - The report does not explicitly provide an investment rating for the computing power scheduling platform industry. Core Insights - The rapid development of artificial intelligence technology has led to an exponential increase in global demand for computing power, necessitating computing power scheduling for resource integration and optimization across regions and platforms [2]. Summary by Sections Overview of the Computing Power Scheduling Industry - Computing power is defined as the ability of computer devices or data centers to process information, categorized into general computing power, intelligent computing power, and supercomputing power [15][18]. - China's computing power scale has grown rapidly, reaching 280 EFLOPS by 2024, with intelligent computing power accounting for 32% [20][23]. Challenges in Heterogeneous Computing Power Scheduling - Heterogeneous computing power scheduling faces multiple core challenges, including increased scheduling complexity due to resource heterogeneity and software environment fragmentation, high migration costs for cross-architecture tasks, and a lack of unified scheduling standards leading to resource mismatch and low utilization [4][43]. Major Domestic Computing Power Scheduling Platforms - National-level computing power scheduling platforms are primarily government-led or constructed by major operators, emphasizing cross-regional collaboration and market-oriented transactions [5][48]. - Provincial platforms cover key regions like the Yangtze River Delta and Chengdu-Chongqing, while municipal platforms focus on local AI and smart manufacturing scenarios [48]. Mainstream Open Source Computing Power Scheduling Technologies - Domestic computing power scheduling platforms are often built on open-source technologies, with openFuyao emerging as a versatile scheduling platform with advantages in domestic adaptation, while Kubernetes and Slurm have strong foundations in cloud-native and HPC fields [6][51].
政观长三角|科创聚势,风起临平
Xin Lang Cai Jing· 2025-06-24 07:00
Core Viewpoint - Linping District in Hangzhou is transforming into a hub for technological innovation and advanced manufacturing, aiming to become a model for common prosperity and a highland for digital transformation in the Yangtze River Delta region [1][14]. Group 1: Technological Innovation - Linping has seen significant growth in technological innovation, with 24 enterprises recognized as provincial-level R&D institutions, including 5 key enterprise research institutes, ranking first in the province [1]. - The district's R&D investment accounted for 3.79% of its GDP, with 1,498 new invention patents filed, marking a 60.6% increase [15]. - Linping has added 3 new "little giant" enterprises and 12 national-level specialized "little giant" enterprises [1][15]. Group 2: Industry Development - The China (Hangzhou) Computing Power Town, the first of its kind in the country, has attracted over 2,400 companies across various sectors, including AI algorithms, chip design, and software services [4]. - The Computing Power Town hosts 50 national high-tech enterprises and 127 provincial technology-based SMEs, benefiting from the surge in artificial intelligence [4]. - The establishment of the Hangzhou Data Element Operation Center in the Computing Power Town aims to create a collaborative innovation center for data elements [11]. Group 3: Policy Support and Ecosystem - Linping offers a comprehensive policy support system for enterprises, including rent reductions, R&D subsidies, and talent introduction, facilitating growth from startup to maturity [8]. - The district has implemented a one-stop service center that provides 100% coverage for enterprise needs, including talent recruitment and financial connections [11]. - Companies like Mude Micro-Nano and Zhizhen Technology have benefited from local policies, enabling them to innovate and reduce operational costs significantly [8][10]. Group 4: Strategic Location - Linping serves as a natural "bridgehead" for Hangzhou's integration with Shanghai and the Yangtze River Delta, supported by a well-developed transportation network [12]. - The district is strategically located at the intersection of major innovation corridors, enhancing its role in regional economic development [12][14]. Group 5: Future Outlook - Linping is expected to continue attracting innovative enterprises, with over 100 companies in the artificial intelligence sector already established [14]. - The district's focus on digital economy and intelligent manufacturing positions it as a key player in the future industrial landscape of Hangzhou and the Yangtze River Delta [16].
行业简报:算力调度平台规模化发展-Deepseek带动算力需求井喷,算力调度平台成最优解
Tou Bao Yan Jiu Yuan· 2025-06-06 12:33
Investment Rating - The report indicates a positive investment outlook for the computing power scheduling platform industry, driven by the rapid growth in AI model applications and the increasing demand for high-performance computing resources [10][14]. Core Insights - The demand for intelligent computing power in China is experiencing unprecedented growth, particularly in large model applications, which account for nearly 60% of the demand, highlighting the significant potential of the future computing power market [14][30]. - The profitability of computing power scheduling centers heavily relies on government subsidies, which are designed to ensure local resource utilization and risk control. Successful engagement with government decision-making is crucial for companies to secure these subsidies [22][30]. - The core value of computing power scheduling platforms lies in their ability to efficiently integrate and schedule heterogeneous computing resources, significantly improving resource utilization and reducing costs for users [17][20]. Summary by Sections Computing Power Scheduling Platform's Scaling Path - The rapid growth of intelligent computing demand in China is driven by AI large models, leading to accelerated development of large-scale, high-performance computing centers [11][10]. - The profitability of computing power scheduling centers is highly dependent on government subsidies, which aim to ensure local resource utilization and risk management [22][30]. - Platforms must possess efficient integration and scheduling capabilities for heterogeneous computing resources to achieve low-cost, scalable, and marketable monetization [31][39]. Value of Computing Power Scheduling Platforms - The platforms enhance resource utilization, lower user costs, and simplify management processes, providing efficient and convenient computing power services [17][20]. - The core technologies required include resource virtualization, fine-grained slicing, real-time monitoring, and tidal scheduling, which enable low-cost and efficient utilization of resources [31][38]. Government Subsidies as Core Source - Government subsidies are essential for the profitability of computing power scheduling centers, with a structured mechanism to ensure local resource utilization and risk control [22][30]. - Companies must strategically engage early in government decision-making to influence standards and secure contracts [23][30]. Technical Features of Quality Computing Power Scheduling Platforms - Platforms need to have capabilities for fine-grained resource slicing, heterogeneous compatibility, cross-regional scheduling, real-time monitoring, and dynamic scheduling to achieve efficient resource reuse and low-cost monetization [31][38]. Core of Scaling Computing Power Centers - The core of monetizing the value of computing power platforms lies in a large and diverse customer base, which determines profitability speed and pricing potential [39][42]. - A diverse customer base allows for tiered pricing strategies to maximize revenue, while partnerships can help focus on high-margin computing power sales [42][39].
Deepseek带动算力需求井喷,算力调度平台成最优解
Tou Bao Yan Jiu Yuan· 2025-06-06 12:11
Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The demand for computing power in China is rapidly increasing, driven by AI large models, leading to accelerated development of large-scale, high-performance computing centers [10][11] - The profitability of computing power scheduling centers heavily relies on government subsidies, which are designed to ensure local resource utilization and risk control [10][22] - The core value of computing power scheduling platforms lies in their ability to efficiently integrate and schedule heterogeneous computing resources, significantly improving resource utilization and reducing costs for users [17][20] Summary by Sections 1. Rapid Growth of Computing Power Demand - The demand for intelligent computing power is experiencing unprecedented growth, particularly in the application of large models, which account for nearly 60% of the demand [14][16] - By 2028, the overall demand for intelligent computing power in China is expected to exceed 20,000 MW, with a compound annual growth rate (CAGR) of 68.97% [16] 2. Value of Computing Power Scheduling Platforms - These platforms enhance resource utilization, lower user costs, and simplify management processes, providing efficient and economical computing power services [17][20] - The platforms must possess advanced technical capabilities, including resource virtualization, fine-grained slicing, real-time monitoring, and tidal scheduling to achieve low-cost and efficient utilization of resources [31][38] 3. Government Subsidies as Core Source - The success of computing power scheduling centers is closely tied to government subsidies, which aim to ensure local resource utilization and mitigate risks [22][30] - Companies must strategically engage early in government decision-making processes to influence outcomes and align their proposals with government economic and social goals [23][24] 4. Technical Features of Quality Scheduling Platforms - Essential technical capabilities include fine-grained resource slicing, heterogeneous compatibility, cross-regional scheduling, real-time monitoring, and dynamic adjustment [31][38] - These features enable efficient reuse of computing resources and low-cost monetization [38] 5. Core of Scale for Computing Power Centers - The scale of value realization for computing power platforms is fundamentally based on a large and diverse customer base, which influences profitability and pricing potential [39][42] - High-value, stable demand from large customers is a primary target for platforms, facilitating efficient service delivery [42]
第五代产业园的“智变”
Jing Ji Guan Cha Bao· 2025-05-26 10:03
Core Viewpoint - The emergence of the fifth-generation industrial park, also known as the empowering industrial park, signifies a profound paradigm shift in global industrial parks, moving beyond merely providing physical space to offering comprehensive, customized empowering services through advanced technologies and innovative concepts [1][2]. Group 1: Evolution of Industrial Parks - The rise of the fifth-generation industrial park is a natural outcome of the intertwining of multiple socio-economic and technological transformations in today's world [2]. - Traditional industrial parks are increasingly unable to meet the diverse and high-quality demands of modern industry due to their limitations in functionality and management [2]. - Breakthroughs in new information technologies, such as artificial intelligence, IoT, and big data, have fundamentally changed the operational management models of industrial parks [2][3]. Group 2: Technological Integration - IoT technology enables real-time remote monitoring of equipment within the park, significantly improving operational efficiency and reliability [3]. - Big data analytics allows for in-depth analysis of operational and market data, providing personalized and efficient services to enterprises [3]. - The deep integration of digital technology with the real economy has led to the emergence of new industrial forms, such as smart manufacturing and blockchain applications [3]. Group 3: Focus on Emerging Industries - The fifth-generation industrial park emphasizes the development of high-tech industries like semiconductor equipment and biomedicine, creating a robust ecosystem through the integration of innovation, industry, and finance [4]. - Traditional industries are compelled to transition towards high-end manufacturing and strategic emerging industries due to long-standing challenges of high resource consumption and low added value [4]. Group 4: Urban Integration - The acceleration of urbanization has made "integration of production and city" a mainstream trend, with the fifth-generation industrial park addressing issues of employee living conditions by enhancing supporting facilities [5]. - These parks aim to create a comprehensive environment that integrates work, life, and ecology, significantly improving the quality of life and attractiveness for talent [5]. Group 5: Comprehensive Innovation - Compared to previous generations, the fifth-generation industrial park has achieved a comprehensive innovation in concepts, models, and functions, transitioning from "space providers" to "ecosystem enablers" [6]. - The parks offer diversified services such as equity investment and technology sharing, supporting the full lifecycle growth of enterprises [6]. - The integration of six elements (industry, education, research, finance, users, and government) fosters an open and collaborative innovation network [6]. Group 6: International Collaboration - The fifth-generation industrial park breaks regional limitations and promotes international resource integration, exemplified by Sino-German cooperation parks [7]. - These parks leverage international technology and local market resources to enhance production efficiency and innovation [7]. Group 7: Future Prospects - The fifth-generation industrial park is positioned as a key carrier of new productive forces, emphasizing the importance of service-oriented production capabilities [8]. - The parks are expected to lead a new round of industrial revolution, injecting sustainable momentum into regional economic development [11]. - Balancing innovation with regulation and efficiency with equity will be crucial for the success of these parks [11].