一、系统基础环境
内核信息:
[alios@localhost ~]$ uname -r5.10.134-13.an8.x86_64
系统版本:
[alios@localhost ~]$ cat /etc/os-releaseNAME="Anolis OS"VERSION="8.8"ID="anolis"ID_LIKE="rhel fedora centos"VERSION_ID="8.8"PLATFORM_ID="platform:an8"PRETTY_NAME="Anolis OS 8.8"ANSI_COLOR="0;31"HOME_URL="https://openanolis.cn/"
二、GPU基本信息
1、查看GPU型号:lspci | grep VGA
[alios@localhost ~]$ lspci | grep VGA01:00.0 VGA compatible controller: NVIDIA Corporation GA102GL [RTX A4500] (rev a1)
2、查看更多信息:lshw -C display
description: VGA compatible controllerproduct: GA102GL [RTX A4500]vendor: NVIDIA Corporationphysical id: 0bus info: pci@0000:01:00.0version: a1width: 64 bitsclock: 33MHzcapabilities: pm msi pciexpress vga_controller bus_master cap_list romconfiguration: driver=nvidia latency=0resources: iomemory:600-5ff iomemory:680-67f irq:155 memory:81000000-81ffffff memory:6000000000-67ffffffff memory:6800000000-6801ffffff ioport:5000(size=128) memory:82000000-8207ffff
3、英伟达显卡,可使用:nvidia-smi
[root@localhost ~]# nvidia-smiThu Sep 14 15:50:40 2023+---------------------------------------------------------------------------------------+| NVIDIA-SMI 535.86.05 Driver Version: 535.86.05 CUDA Version: 12.2 ||-----------------------------------------+----------------------+----------------------+| 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 RTX A4500 Off | 00000000:01:00.0 Off | 0 || 30% 42C P8 20W / 200W | 143MiB / 19190MiB | 0% Default || | | N/A |+-----------------------------------------+----------------------+----------------------++---------------------------------------------------------------------------------------+| Processes: || GPU GI CI PID Type Process name GPU Memory || ID ID Usage ||=======================================================================================|| 0 N/A N/A 2171572 G /usr/libexec/Xorg 112MiB || 0 N/A N/A 2173183 G /usr/bin/gnome-shell 22MiB |+---------------------------------------------------------------------------------------+
4、英伟达显卡查看显存:
nvidia-smi --query-gpu=memory.total --format=csv,nounits
[memory.total [MiB]19190
5、英伟达显卡查看GPU核心数:
nvidia-smi --query-gpu=count --format=csv,noheader
[1
三、GPU资源占用情况
1、英伟达显卡:nvidia-smi

2、实时监控GPU资源情况:watch -n 1 nvidia-smi
