特斯联副总裁杨立德（前排右），新华三集团AI与创新科技系统部总监杨洋（前排左）代表双方签 约。特斯联高级副总裁刘斌（后排右三），副总裁唐智（后排右二）、新华三集团副总裁、企业事业部 总经理管志强（后排左三）等见证签约 特斯联与新华三正式宣布达成战略合作，双方将集中优势资源，围绕AIoT算力平台打造及异构算力生 态建设进行深度合作。借助特斯联在异构算力编译与空间智能场景中的业务实践与AIoT技术沉淀，及 新华三在"云-网-安-算-存-端"全产业链的深度布局，双方的合作将进一步推动国产算力在AIoT领域的创 新与应用，加速构建高效、智能、安全的异构算力生态，共同推动异构算力融合的发展和应用。 3. 全新探索：异构算力的超节点建设 当前AIoT场景的算力需求已不再是"单一维度的算力叠加"，而是"多维度算力的精准匹配"，这种需求升 级直接催生了对异构算力超节点的需求。任务类型"多样化"、场景"规模化"、响应时效"实时化"，都对 算力集群的协同提出了更多挑战。而异构算力超节点是构建AIoT算力生态基础设施的"基石"。 新华三构建的覆盖智算领域的全栈技术架构、算力供给、场景落地等技术壁垒，为搭建异构算力超节 点，奠定了坚 ...

近日，特斯联与新华三正式宣布达成战略合作，双方将集中优势资源，围绕AIoT算力平台打造及异构算力生态建设进行深度合作。借助特斯联在异构算力 编译与空间智能场景中的业务实践与AIoT技术沉淀，及新华三在"云-网-安-算-存-端"全产业链的深度布局，双方的合作将进一步推动国产算力在AIoT领域的 创新与应用，加速构建高效、智能、安全的异构算力生态，共同推动异构算力融合的发展和应用。 资源整合是双方合作的另一个重要方向。特斯联在AIoT领域积累了丰富的行业场景和客户资源，涵盖政府、企业、园区等多个领域，对不同行业的需求和 痛点有着深入了解。新华三同样拥有广泛的客户基础和合作伙伴资源，在金融、教育、医疗等行业拥有众多成功案例。双方将推动资源整合与共享，实现优 势互补，共同开拓市场。 全新探索：异构算力的超节点建设 当前AIoT场景的算力需求已不再是"单一维度的算力叠加"，而是"多维度算力的精准匹配"，这种需求升级直接催生了对异构算力超节点的需求。任务类 型"多样化"、场景"规模化"、响应时效"实时化"，都对算力集群的协同提出了更多挑战。而异构算力超节点是构建AIoT算力生态基础设施的"基石"。 新华三构建的覆盖智算领 ...

新华财经上海10月11日电 "未来产业"是指处于孕育萌发阶段或产业化初期，具有显著颠覆性、前瞻性 的新兴产业。培育未来产业是引领科技创新、重塑产业格局的战略支点，在新一轮科技革命与产业变革 交织演进的当下，未来产业的布局深度将直接决定区域发展的未来能级。 根据《中国区域科技创新评价报告2025》，近十年来，长三角地区作为我国科技创新的"领头羊"地位日 益凸显。三省一市"各扬所长、攥指成拳"的发展范式，为未来产业的培育奠定了独一无二的基础。而本 周，在长三角多地，这份面向未来的产业布局已清晰呈现加速落地的态势。 · 10月10日，聚变堆主机关键系统综合研究设施（CRAFT）项目取得重要进展——环向场磁体线圈盒研 制成功并在合肥交付。 解读：环向场磁体，是磁约束核聚变装置的核心部件。其功能是产生一个强大的环向磁场，如同一个看 不见的"磁笼"，将上亿摄氏度的聚变等离子体安全地约束在真空室中心，不与任何容器壁接触，从而实 现受控核聚变反应。 此次交付的线圈盒是环向场磁体的主体承力结构部件，整个聚变装置将由16个这样的D形巨大部件首尾 相接，组合成一个巨大的环形结构，将真空室包裹其中。该部件外形尺寸21米×12米，重4 ...

Core Viewpoint - The seminar focused on the innovative applications of GPU+CPU hybrid architecture in deep-sea exploration and marine carbon sink monitoring, highlighting the collaboration between the heterogeneous computing industry and various partners, including Intel [1][5][6]. Group 1: Event Overview - The seminar titled "Innovating the Future of Heterogeneous Integration, Empowering Marine Technology with Intelligent Computing" was held in Qingdao, featuring discussions on the innovative applications of hybrid computing architectures [1]. - Key attendees included members from the Chinese Academy of Sciences, the Marine Technology Industry Alliance, and various technology companies, who engaged in in-depth discussions and showcased technological advancements [3][5]. Group 2: Technological Insights - The integration of AI, high-performance computing, and cloud computing is enhancing the understanding and predictive accuracy of marine environmental changes, contributing to sustainable development goals [5]. - The rapid development of large model technology is providing a solid foundation for marine artificial intelligence, enabling better understanding of climate change impacts on marine ecosystems [9]. Group 3: Strategic Initiatives - The Laoshan Laboratory is focusing on the integration of marine technology and heterogeneous computing to support the construction of a strong marine nation, emphasizing the importance of high-performance computing systems [6]. - Qingdao Guoshi Group aims to leverage advancements in algorithms, computing power, and data accumulation to accurately simulate marine ecosystems and address data processing challenges in various marine technology fields [9]. Group 4: Industry Collaboration - Lenovo is advancing its "One Horizontal and Five Verticals" strategy to provide comprehensive infrastructure solutions, including a heterogeneous computing platform tailored for large model training and inference [12][13]. - Intel is committed to developing HPC & AI integrated computing technologies to support diverse industry needs and enhance AI technology deployment [15][17].

Core Viewpoint - The article discusses the challenges and opportunities in China's computing power market, particularly focusing on the emergence of "intelligent computing centers" and the role of the company Wuwen Xinqun in addressing these challenges through innovative solutions [1][10]. Group 1: Current State of Computing Power - As of September 2024, China's computing power scale reached 246 EFLOPS, with intelligent computing power growing over 65% year-on-year, and over 13,000 computing power application projects across various industries [1]. - Despite the growth in computing power, the average cabinet utilization rate in intelligent computing centers is only 20% to 30%, with some enterprise-level centers as low as 10% [1][2]. - The overall utilization rate of computing power in the country is only 32%, indicating a significant gap between supply and demand [2]. Group 2: Challenges in the Computing Power Market - There is a shortage of quality computing power supply, making it difficult for many enterprises to find suitable resources [2][3]. - High usage thresholds prevent startups from effectively utilizing available computing power, leading to a phenomenon of "computing power scarcity" among AI companies [3]. - The domestic chip ecosystem is fragmented, with various models and architectures that are incompatible, hindering efficient resource flow [3]. Group 3: Wuwen Xinqun's Approach - Founded in May 2023 by a team with strong ties to Tsinghua University, Wuwen Xinqun has quickly gained market attention, securing nearly 1 billion yuan in funding within two years [4][5]. - The company aims to be a "computing power operator" in the era of large models, addressing the challenges posed by the dominance of NVIDIA's CUDA ecosystem and the fragmentation of domestic chip manufacturers [5]. - Wuwen Xinqun has developed a cloud computing network that integrates heterogeneous computing resources, allowing developers to focus on applications without worrying about underlying hardware differences [5][10]. Group 4: Product Offerings - Wuwen Xinqun has introduced three core products, referred to as "three boxes," to enhance computing power utilization across various scales [6][9]. - The "Wuqiong AI Cloud" serves as a large-scale computing network, integrating resources from 26 provinces and over 53 data centers, with a total computing power exceeding 25,000 P [7]. - The "Wujie Intelligent Computing Platform" targets large computing clusters, demonstrating significant performance in training large models [8]. - The "Wuyin Terminal Intelligence" solution is designed for limited computing terminals, enabling them to perform complex tasks without relying on cloud resources [9]. Group 5: Future Outlook - Wuwen Xinqun's efforts reflect a broader need for a cohesive ecosystem that allows computing power to flow effectively, addressing the current challenges of fragmentation and high costs [10][11]. - The company aims to enhance the actual utilization rate of computing resources and improve the cost-performance ratio, contributing to the growth of China's AI industry [10].

Core Insights - By 2025, AI will evolve from a trending sector to a foundational technology empowering various industries, driven by increasing demand for AI solutions and innovations across the infrastructure market [1] Group 1: AI Infrastructure and Market Trends - The demand for heterogeneous computing power is expected to experience explosive growth, with IDC predicting a compound annual growth rate of 33.9% for intelligent computing in China over the next five years [1] - AI is penetrating deeply into sectors such as internet, finance, telecommunications, manufacturing, and government, with applications in education, healthcare, and energy also on the rise [1] - The future of AI infrastructure will focus on cloud-edge collaboration, integrating various types of computing power (CPU, GPU, NPU, DPU) to meet diverse AI application needs [3][5] Group 2: AI Application and Development - AI applications in enterprise markets may not progress as rapidly as anticipated, influenced by factors such as computing power, algorithms, data, application scenarios, and talent development [2] - The emergence of low-code platforms will lower the barriers for AI development and application, allowing enterprises to leverage AI capabilities without large algorithm teams [2] - Specialized industry models, combining professional data, domain knowledge, and real-time feedback, will provide greater value than general-purpose AI capabilities [2] Group 3: Technological Innovations and Solutions - New technologies such as model compression, edge computing, and mature toolchains will significantly reduce the thresholds for AI development and application in the next 3-5 years [2] - The company is developing a full-stack AI solution that includes distributed storage, lossless networking, and a robust computing platform to support diverse AI applications [5] - The "Turing Town" model aims to incubate the computing technology industry chain while facilitating collaboration between models and computing power [5][6]

Core Viewpoint - The article emphasizes the transformative impact of AI on computing architecture and the increasing demand for heterogeneous computing power, particularly in the context of Arm technology's role in supporting this evolution [2][5][10]. Group 1: AI and Computing Evolution - The emergence of AI, particularly following the introduction of ChatGPT, has significantly increased the demand for computing power across various sectors, including AI cloud, automotive, robotics, and consumer electronics [2][4]. - AI is reshaping societal infrastructure and lifestyles, necessitating a shift in computing architecture from centralized to distributed systems [4][5]. Group 2: Arm Technology and Market Position - Arm technology has seen a rapid expansion in the smart computing sector, with over 310 billion chips shipped and a growing ecosystem of over 22 million software developers [7]. - By 2025, it is projected that nearly 50% of the computing power shipped to major cloud service providers will be based on Arm architecture, highlighting its increasing relevance in the cloud computing market [7]. Group 3: Self-Research and Product Development - The company is focusing on self-research and innovation, developing a comprehensive product matrix in key areas such as AI, CPU, information security, and multimedia processing [10]. - The self-developed products have achieved significant milestones, with over 230 clients and more than 9.5 billion chips shipped based on these innovations [10][11]. Group 4: Future Innovations - The company is set to unveil a new generation of AI acceleration engines, which will enhance computing power, precision, flexibility, and energy efficiency, supporting various mainstream large models [11].