The reality of artificial intelligence teaching platform based on GPU virtualization
This study is dedicated to designing and implementing a GPU virtualization-based artificial intel-ligence teaching platform to accommodate multiple users conducting experiments and training simultaneous-ly.The platform adopts GPU virtualization technology and container technologies,such as Kubernetes and Docker,to achieve GPU resource sharing and isolation,supports concurrent operations for multiple users,and provides abundant teaching resources.Through the analysis of experiment results,this study confirms the advantages of the teaching platform in enhancing the quality and efficiency of education,providing refer-ences for the improvement of teaching platforms.This study is innovative in the design of the teaching plat-form,in especial combining GPU virtualization technology with container technology,offering a new solution for the artificial intelligence education field.
NETL
NSTL
万方数据
