首先要确保wsl2 版的 cuda 环境已经安装 [非必须]如果已安装了环境但是nvidia-smi找不到,可能是未加入环境变量,请将它的路径/usr/lib/wsl/lib加入 PATH ollama 在/usr/bin/找不到 nvidia-smi 位置,所以会有如上警告,所以需要创个链接指向: 方法一:sudo ln -s $(which nvidia-smi) /usr/bin/ 方法二:...
装NVIDIA Container Toolkit: curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \ | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \ | sed's#deb ...
It is telling me that it cant fing the GPU. Is anyone running it under WSL with GPU? I have a 3080. >>> The Ollama API is now available at 0.0.0.0:11434. >>> Install complete. Run "ollama" from the command line. WARNING: No NVIDIA GPU detected. Ollama will run in CPU-only...
Debian ~/glxinfo -B name of display: :0 display: :0 screen: 0 direct rendering: Yes Extended renderer info (GLX_MESA_query_renderer): Vendor: Mesa/X.org (0xffffffff) Device: llvmpipe (LLVM 11.0.1, 256 bits) (0xffffffff) Version: 20.3.5 Accelerated: no Video memory: 31979MB Unified...
一般在使用windows系统的电脑时，想要了解GPU的使用情况时，我们通常会打开任务管理器去查看。但是这种方式一般只能看到简单的情况。那么我们想要了解更多的情况的话，该怎么办呢。可以在cmd中输入nvidia-smi，但是通常情况下直接在cmd中输入nvidia-smi是没有用的，那该怎么办呢 找路径 一般的路径为：C:\Program ...
I finally install the latest nvidia driver to solve thenvidia-container-cli: initialization error: WSL environment detected but no adapters were found: unknown.problem.The link isOfficial Drivers | NVIDIA. You should select the driver version that matchs you...
1. 安装nVidia GPU驱动 网上有许多资料写道需要安装针对WSL特别驱动,但是现在已经不需要这么做了,只需要到nVidia官网将驱动升级到最新版本即可。 Download the latest official NVIDIA driverswww.nvidia.com/Download/index.aspx 根据参考资料描述,驱动类型最好选择Game Ready版本而不是studio版本 ...
1 安装支持WSL的GPU驱动:(WSL,显然需要的是windows版本) You will need to be onWindows 10 Build 19044+orWindows 11to access this feature. 1.1 Nvidia GPU in Windows Subsystem for Linux (WSL) | NVIDIA Developer WSL 上的 NVIDIA CUDA 驱动程序将 NVIDIA CUDA 和 AI 与无处不在的 Microsoft Windows...
sudo apt-get install -ynvidia-docker2 OK,可以跑深度学习了: sudo service docker start docker run --name mytorch --gpus all -it pytorch/pytorch:1.9.0-cuda10.2-cud nn7-runtime bash 进去之后如果显示 The NVIDIA Driver was not detected. GPU functionality will not be available. ...
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 side H…