面向深度学习的虚拟化人工智能实验室开放平台研究
Research on the Virtual Open Platform of Artificial Intelligence Laboratories for Deep Learning
程远航1
作者信息
- 1. 贵州大学科技学院 贵州贵阳 550025
- 折叠
摘要
分析了人工智能实验室的发展现状和未来前景,介绍了深度学习和虚拟化技术的原理,给出了建设面向深度学习的人工智能实验室需要的硬件和软件平台方案,深入分析了硬件资源的搭建和管理以及软件环境的部署和开源数据集的选择.最后提供一些实验测试和评估的方案.这些工作将有助于提高实验室的性能、效率和可靠性,推动深度学习的研究以及教学的进展.
Abstract
This article analyzes the development status and future prospects of artificial intelligence laboratories,introduces the principles of deep learning and virtualization technology,gives the program of hardware and software platforms required to build artificial intelligence laboratories for deep learning,deeply analyzes the construction and management of hardware resources,the deployment of the software environment and the selection of open source datasets,and finally provides some plans for experimental testing and evaluation,which will help improve the performance,efficiency and reliability of laboratories,and promote research on deep learning and the progress of teaching.
关键词
深度学习/虚拟化技术/GPU虚拟化/人工智能/实验室建设Key words
Deep learning/Virtualization technology/GPU virtualization/Artificial intelligence/Laboratory construction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据