华为云CloudMatrix384

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华为云CloudMatrix384平均单卡吞吐达H20的3-4倍
Jing Ji Guan Cha Wang· 2025-09-19 03:00
此外,华为云部署大规模全液冷AI数据中心,降低能耗。还提供全栈专属AI云服务,保障数据安全。 此次升级,昇腾AI云服务客户数量从去年的321家增至今年的1805家,AI总算力规模同比增长268%,为 各行业智能化升级注入强大动力。 经济观察网9月19日,在华为全联接大会2025上,华为常务董事、华为云计算CEO张平安介绍了华为云 昇腾AI云服务的重磅升级。 依托最新AI服务器规划,CloudMatrix云上超节点规格大幅升级,将实现超大集群,提供澎湃算力。华 为云首创弹性内存存储服务EMS,提升大模型性能。同时,CloudMatrix384AI Token服务全面上线,满 足行业AI计算需求,其超节点创新架构极大提升系统推理性能,平均单卡推理性能是H20的3-4倍,已 为多家主流大模型提供服务。 ...
环球时报:中国汽车的第二个“弯道”
Bei Jing Ri Bao Ke Hu Duan· 2025-09-02 03:53
Core Insights - The article emphasizes that the competition in the automotive industry has shifted from merely market presence to a technological leadership battle, particularly in the realm of intelligent assisted driving [2][4][10]. Group 1: Historical Context and Market Dynamics - In the 1990s, joint ventures in China's automotive industry, such as the introduction of the Santana, were seen as a way to exchange market access for technology, but this did not yield the expected technological advancements [1]. - By 1990, the localization rate of major joint venture brands in China was only between 13% and 60%, indicating a failure to achieve significant technological transfer [1]. - The emergence of electric vehicles (EVs) allowed Chinese manufacturers to bypass traditional barriers, focusing on electrification and intelligence, leading to a rapid market capture [1]. Group 2: Transition to Intelligent Driving - The automotive industry is currently undergoing a critical transition from electrification to intelligence, with expectations that by mid-2025, the penetration rate of L2 and above intelligent driving systems in China will reach 67.8% [4]. - The competition for intelligent driving is characterized by significant challenges, including the need for vast data collection, high computational power, and the ability to simulate extensive testing scenarios [4][8]. Group 3: Global Competitive Landscape - Global automotive players, including traditional manufacturers and tech giants, are heavily investing in intelligent driving technologies, with the U.S. and EU implementing supportive regulations and funding for advancements in this area [5][6]. - Traditional automakers are investing billions annually in R&D to build technological barriers, while tech companies like Google and Apple are entering the automotive space, increasing competitive pressure [5][6]. Group 4: Cloud Computing and Data Utilization - The demand for cloud computing resources is surging as automotive companies seek to enhance their AI capabilities for intelligent driving, with significant growth in the cloud computing market driven by this need [7][10]. - The shift towards cloud-based solutions allows for continuous updates and improvements in intelligent driving systems, enabling vehicles to benefit from the latest advancements without hardware changes [8][10]. Group 5: Huawei's Role in the Market - Huawei has positioned itself as a leading provider of cloud services for the automotive industry, with over 1 million vehicles utilizing its cloud solutions for intelligent driving [11]. - The company's CloudMatrix384 platform offers superior performance compared to competitors, addressing the growing computational needs of intelligent driving models [11][12]. - Collaborations with automakers like Changan demonstrate the practical application of Huawei's cloud services in enhancing intelligent driving capabilities [14].