华为KubeCon China 2025：驱动云原生向AI原生技术融合跃迁

Group 1 - The KubeCon+CloudNativeCon China 2025 conference was held in Hong Kong, focusing on the integration of cloud-native technologies and AI, featuring global open-source developers and industry leaders [1] - Huawei participated significantly in the conference, delivering three keynote speeches and over ten technical sessions, showcasing breakthroughs in the field of cloud-native and AI integration [1][3] - Open-source is recognized as a key driver for innovation, enabling faster development cycles and creating exponential value for the next technological revolution [1] Group 2 - Huawei's Chief Open Source Liaison Officer, Ren Xudong, discussed the evolution of computing clusters in the AI era, emphasizing the need for unified management of computing resources to support major AI frameworks [3] - Bilibili, with over 100 million monthly active users, has developed a cloud-native AI platform using Volcano and Karmada to optimize workload scheduling and enhance resource utilization [4][6] - iFlytek achieved significant improvements in AI model training efficiency by utilizing Volcano, increasing GPU utilization by over 40% and reducing fault recovery time by 70% [7][9] Group 3 - Karmada is highlighted as a multi-cloud management engine that addresses challenges in deploying AI tasks across multiple clusters, enhancing the reliability of large-scale data platforms [10][12] - KubeEdge, as a graduate project of CNCF, is recognized for its capabilities in edge computing, providing unified management and real-time advantages in various industry applications [14] - Kmesh, a cloud-native traffic management engine, utilizes eBPF technology to improve performance and reliability in handling large-scale traffic applications [16] Group 4 - openGemini, a high-performance time-series database, is designed for various industries, including IoT and aerospace, and aims to reduce business costs through efficient data storage and querying [18] - openFuyao focuses on building a diverse computing ecosystem to address the complexities of AI workloads, promoting effective resource management and scheduling [20] - Huawei continues to collaborate with global enterprises and developers to drive innovation in AI and cloud-native technologies, contributing to the intelligent transformation of various industries [20]