CUDA源地址
- 官方源
https://developer.download.nvidia.cn/compute/cuda/repos/ - 国内镜像
https://mirrors.aliyun.com/nvidia-cuda/
添加源
本人使用的是Open SUSE Leap 15.3
则选用了:
https://mirrors.aliyun.com/nvidia-cuda/opensuse15/x86_64
# zypper -ar https://mirrors.aliyun.com/nvidia-cuda/opensuse15/x86_64 CUDA-Ali
# zypper ref
# zypper update
安装N卡驱动
# zypper in x11-video-nvidiaG05
安装重启后则可以使用nvidia-smi
查看N卡信息。
$ nvidia-smi
Sun Aug 8 01:30:44 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 Off | N/A |
| N/A 44C P8 N/A / N/A | 6MiB / 4040MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| None |
+-----------------------------------------------------------------------------+
如果在图形界面需要使用N卡,则还需要安装x11
的N卡驱动,否则nvidia-settings
无法使用
# zypper in xf86-video-nv
根据根据需要安装cuda
# zypper zypper in cuda-11-4
安装完成后则可以使用nvcc
编译器了。