我nvcc -V是ok的,但是nvidia-smi一直报错,Command ‘nvidia-smi’ not found, but can be installed with: 解决 cp /usr/lib/wsl/lib/nvidia-smi /usr/bin/nvidia-smi chmod ogu+x /usr/bin/nvidia-smi 在wsl2中运行这两个语句,再输入nvidia-smi,成功了 ——— 版权声明:本文为CSDN博主「吴铭星」的原...
最后执行命令apt install nvidia-cuda-toolkit wsl1 Command nvidia-sminot found 在wsl系统中不支持nvidia-smi命令,可以改用nvidia-smi.exe命令 Command ‘nvidia-smi’ not found, but can be installed with: 在使用nvcc命令时,可能也会存在报错。可以尝试执行 /usr/local/cuda/bin/nvcc 试一下 Command ‘nvcc...
I have new windows server where I have installed WSL2 for GPU pass through, but nvidia-smi command is not working and it gives NVML initialization : unknown error whereas nvidia-smi.exe is working from the windows sideHowever, It works on another server with similar ...
其次在WSL终端中也输入nvidia-smi,也如下图显示一样,则可以进入下一步 如果cmd中输入nvidia-smi正常输出GPU信息,而WSL中报错Command not found,参考这里: 4.2 安装CUDA 我这里安装的是CUDA 11.8.0,显卡支持cuda版本必须在11.8以上,否则需要安装更低版本的。 #先安装cuda 11.8.0 wget https://developer.download....
在我的桌面上,nvidia-smi和CUDA的示例在WSL2中工作得很好。但是在我的笔记本电脑上,运行nvidia-smiin WSL2会返回: 代码语言:javascript 复制 $ nvidia-smi Failed to initializeNVML:GPUaccess blocked by the operating system Failed to properly shut downNVML:GPUaccess blocked by the operating system ...
WARNING: daemon is not using the default seccomp profile GPU Driver 根据Win11机器的显卡安装最新版本驱动(不要在WSL中安装任何Linux版的Nvidia驱动!) Download the latest official NVIDIA drivers 输入nvidia-smi,查验是否安装成功。WSL2里面啥都不用做,在WSL2命令行直接就能查看nvidia-smi。启动docker也能一样查...
更新完成后可以在命令行/wsl中输入nvidia-smi 可以看到输出 这里的CUDA Version指的是该驱动版本最高可支持的CUDA版本 安装CUDA 到NVIDIA官网下载符合条件的CUDA 这里我一开始直接选择安装了最新版的CUDA 12.4,随后发现Tensorflow 目前(2024.3.17) 并不支持 12.4,于是重新安装,选择了CUDA 11.2 ...
//ubuntu.com/tutorials/enabling-gpu-acceleration-on-ubuntu-on-wsl2-with-the-nvidia-cuda-platform...
NVIDIA-SMI 550.60.01 Driver Version: 551.76 CUDA Version: 12.4 Repro Steps I have a RTX3070Ti type GPU in my laptop, and I am using wsl2 with nvidia driver and cuda installed. Initially, after I run my wsl -d Ubuntu-20.04, I saw "libcuda.so.1 is not a symbolic link" in my dmes...
I am using an Ubuntu 18.04 LTS distribution with WSL2. The distribution comes with Nvidia drivers as a pre-installed virtual packages. However the program I was trying to run can only use CPU graphics, and an Nvidia driver will cause it ...