云原生边缘智能引领产业革命:核心变化、最佳实践与应用案例
Cloud-Native Edge Intelligence Leading the Industrial Revolution:Core Changes,Best Practices and Application Cases
郑子木 1胡时京2
作者信息
摘要
人工智能正在大跨步进入应用新时代:人工智能在大模型加持下性能大幅超越历史,而云原生边缘计算使得人工智能离所有用户更近.这两者的有机融合促使云原生边缘智能爆发新的价值增长点.本文基于历年实践,介绍了云原生边缘智能的核心变化,同时总结出最佳实践:(1)在指导理念方面,针对四大挑战解决实践问题,基于标准化范式推动多种技术突破;(2)在实现路径方面:以基准测试孵化算法,以统一框架开发服务,以生态社区发展产业.文章最后介绍了近十个场景二十项应用案例,并以开源社区生态KubeEdge SIG AI子项目标准化统一框架KubeEdge-Sedna和基准测试KubeEdge-lanvs为基石,深入分享了云原生边缘智能产业应用经验.
Abstract
Artificial Intelligence(AI)is making significant strides into a new era of application:Al performance has greatly exceeded history under the support of large-scale models,while cloud native edge computing has brought Al closer to all users.The integration of these two promotes the explosion of new value in cloud native edge intelligence.Based on years of practice,this paper introduces the core changes of cloud native edge intelligence and summarize the best practices:1)The guiding principle is to solve practical problems in response to four critical challenges,and promote various technological breakthroughs based on standardized paradigms;2)The implementation path is incubating algorithms with benchmark testing,developing services with a unified framework,and developing industries with ecological communities.In conclusion,the article showcases nearly ten scenarios with twenty application cases,leveraging the KubeEdge SIG AI subprojects,namely the standardized unified framework of KubeEdge-Sedna and the benchmark testing tools of KubeEdge-lanvs,to profoundly share insights into the application of cloud-native edge intelligence in the industrial sector.
关键词
云原生边缘智能/人工智能/云原生边缘计算Key words
Cloud-native edge intelligence/Artificial intelligence/Cloud-native edge computing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据