微型电脑应用2025，Vol.41Issue(1)：6-9,4.
基于Volcano调度的气象人工智能平台的设计与实现
Design and Implementation of Meteorological Artificial Intelligence Platform Based on Volcano Scheduling
摘要
Abstract
Aiming at the problems of high computing power requirement,high repeatability of development environment and high threshold of AI application in meteorological field,this paper presents a design scheme of Tianjin meteorological artificial intelligence(TMI)platform based on container technology.The scheme is deeply integrated with meteorological big data cloud platform.Kubernetes is used to quickly set up container management and training environment,and combined with the need of the meteorological field.GPU decision makers(GPUMaker)and task decision makers(JobMaker)are designed based on Vol-cano,achieving task allocation of intensive training tasks on multiple GPU nodes.Through experimental analysis,the online op-eration of TMI platform saves plenty of CPU resources and storage resources,effectively promoting the deep integration of arti-ficial intelligence and meteorological applications,and satisfied with the needs of meteorological applications.关键词
Volcano调度/人工智能平台/Kubernetes/气象数据集Key words
Volcano scheduling/AI platform/Kubernetes/meteorological dataset分类
信息技术与安全科学引用本文复制引用
陈凯华,王艺,袁卫华,李宗飞..基于Volcano调度的气象人工智能平台的设计与实现[J].微型电脑应用,2025,41(1):6-9,4.基金项目
国家自然科学基金青年基金项目(41905132) （41905132）
天津市气象局科研项目(202107ybxm02) （202107ybxm02）
