typestatusdateslugsummarytagscategoryiconpasswordLast edited timeOct 31, 2024 02:20 PM😀Ubuntu配置Nvidia深度学习环境📝 主旨内容安装Nvidia驱动安装CUDA安装Cudnn(一般不需要安装 安框架会自己装)安装minicondaminiconda换源pip换源🤗 总结归纳📎 参考文章📝 主旨内容安装Nvidia驱动执行完上述命令会显示可用的Nvidia驱动，选择一个版本进行安装，下面选择的是550验证是否安装成功安装CUDACUDA Toolkit ArchivePrevious releases of the CUDA Toolkit, GPU Computing SDK, documentation and developer drivers can be found using the links below. Please select the release you want from the list below, and be sure to check www.nvidia.com/drivers for more recent production drivers appropriate for your hardware configuration.https://developer.nvidia.com/cuda-toolkit-archivecontinueaccept取消驱动的勾选，安装修改环境变量安装Cudnn(一般不需要安装 安框架会自己装)cuDNN 9.3.0 Downloadshttps://developer.nvidia.com/cudnn-downloads安装minicondaminiconda换源pip换源🤗 总结归纳 📎 参考文章 作者:ziuch链接:https://ziuch.com/article/Ubuntu-Setup-Nvidia-Environment声明:本文采用 CC BY-NC-SA 4.0 许可协议，转载请注明出处。相关文章Docker部署NotionNextGPT-4o——端到端的多模态大模型重要数据Git常用命令Window配置免密登录服务器自建图床及随机图片API拉链异常检测项目从2D中来到3D中去
