Comments (1)
就是一台电脑,可能会有多个人接入,那这个时候可以同时使用显卡跑GPU吗?
不可以,这个只是将开发环境进行系统级别的隔离,每个容器使用共享的显卡,当第一个人使用时,显卡就被占用了,其他的人就不能使用被占用的显卡跑了。如果有多张显卡的话,可以设置每个容器使用哪张显卡,这样就不冲突了
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Related Issues (20)
- 【建议】所说的 可以安装桌面,docker全部可以,docker还共享内核,几乎没有性能损耗 HOT 1
- LXD容器中安装显卡驱动后nvidia-smi报错 HOT 2
- 请问虚拟机可以是Windows系统吗? HOT 4
- 一块GPU卡是否可以分给多台机器? HOT 3
- 使用共享镜像无法禁止Nouveau 内核驱动程序,安装不了显卡驱动 HOT 1
- 实验室的服务器是linux和windows双系统,使用这种方法构建时在linux下构建时,会不会把windows的数据给冲掉? HOT 1
- 在容器内安装完驱动后显示“NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.” HOT 1
- 想请问一下,容器内pytorch调用cuda总是提示初始化失败,而且torch.cuda.is_available总是false HOT 2
- 使用端口监听的方式实现容器远程连接,但是却无效 HOT 1
- 容器内安装matlab,提示挂载失败
- 遇到了LXD无法访问互联网的问题,以及解决方案 HOT 1
- Xorg cann't run. X11服务器无法启动. HOT 1
- 为容器分显卡时错误
- 为什么创建容器后没有IP。
- 博主,您好?请问,多张GPU卡虚拟化后,部署推理深度学习模型还是和普通的调用方式一样吗?
- LXD升级驱动、cuda
- lxc里nvidia-smi是看不到运行的任务的吧?请问有替代方案吗?
- win10远程桌面闪退 HOT 4
- ubuntu18.04.5 容器,远程连黑屏 HOT 1
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