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华为云CEO:CloudMatrix超节点可实现百万卡超大集群
Guan Cha Zhe Wang· 2025-09-21 00:56
Core Insights - Huawei Cloud is focusing on AI cloud services, large models, embodied intelligence, and AI agents to drive industry innovation and success [1][2][3] Group 1: AI Cloud Services - Huawei Cloud has launched the CloudMatrix384 Ascend AI cloud service, which can scale from 384 cards to 8192 cards, enabling super-large clusters of 500,000 to 1,000,000 cards [2] - The CloudMatrix384 AI Token inference service has been introduced, achieving 3 to 4 times the inference performance of H20 per card [3] - The number of global customers using Huawei Cloud AI services has increased from 321 last year to 1,805 this year [3] Group 2: Infrastructure and Technology - Traditional data centers are being upgraded to support AI infrastructure, with power requirements increasing from 10 kW per cabinet to as much as 200 kW [2] - Huawei Cloud has deployed fully liquid-cooled AI data centers in Guizhou, Inner Mongolia, and Anhui, achieving a PUE as low as 1.1 [2] Group 3: Embodied Intelligence - The CloudRobo platform allows for the deployment of complex algorithms and intelligent logic in the cloud, enhancing the capabilities of robots [6] - CloudRobo's training data generation platform can automatically create diverse operational trajectories, significantly increasing data diversity and reducing data collection costs [6] Group 4: Collaboration and Partnerships - Huawei Cloud has established the R2C (Robot to Cloud) protocol to facilitate communication between robots and the cloud, with 20 initial partners confirmed [7] - The company emphasizes the importance of collaboration in digital transformation, providing a comprehensive support system for global customers [8][11] Group 5: Case Studies and Applications - Turkish fashion retailer Defacto successfully managed traffic surges during promotions using Huawei Cloud's container service, which can automatically scale to 4,000 Pods in 30 seconds [10] - Brazilian data intelligence company Neogrid improved data integration efficiency by 40% and data analysis efficiency by 50% using Huawei Cloud's data warehouse service [10] - Wanhu Chemical achieved a predictive maintenance model accuracy increase from 70% to 90% using Huawei Cloud's Pangu predictive model [10]