WARNING: An NVIDIA kernel module 'nvidia-uvm' appears to be already loaded in your kernel. This may be because it is in use (for example, by an X server, a CUDA program, or the NVIDIA Persistence Daemon), but this may also happen if your kernel was configured without support for module unloading. Some of the sanity checks that nvidia-installer performs to detect potential installation problems are not possible while an NVIDIA kernel module is running.
此警告为:系统当前已经加载了 旧版 NVIDIA 模块(nvidia-uvm),安装程序无法在模块仍被占用时替换或重新编译新的驱动模块。
可以查看目前已加载的模块:
|
1 2 3 4 5 6 7 8 |
root@SDAI202-PowerEdge-T630:~# lsmod | grep nvidia nvidia_uvm 2097152 30 nvidia_drm 139264 0 nvidia_modeset 1638400 1 nvidia_drm nvidia 104095744 339 nvidia_uvm,nvidia_modeset video 77824 2 dell_wmi,nvidia_modeset i2c_nvidia_gpu 12288 0 i2c_ccgx_ucsi 12288 1 i2c_nvidia_gpu |
解决方案:
|
1 2 3 4 5 6 |
sudo systemctl stop gdm sudo systemctl stop lightdm sudo systemctl stop sddm sudo systemctl stop nvidia-persistenced sudo rmmod nvidia_uvm nvidia_drm nvidia_modeset nvidia sudo modprobe -r nvidia_uvm nvidia_drm nvidia_modeset nvidia |
如果以上还不可以,说明有人占用了显卡:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 |
root@SDAI202-PowerEdge-T630:~# sudo fuser -v /dev/nvidia* USER PID ACCESS COMMAND /dev/nvidia0: ljq 8406 F.... nvitop lxy 9267 F.... python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lyf 86331 F...m python lxy 102767 F.... python lxy 102808 F.... python lxy 102840 F.... python lxy 102872 F.... python lxy 102908 F.... python lxy 102940 F.... python lxy 102980 F.... python lxy 103014 F.... python zjx 129892 F...m python zjx 137955 F...m python zjx 137988 F...m python cds 150406 F.... python cds 151055 F.... gpustat cds 176186 F.... pt_data_worker cds 176188 F.... pt_data_worker cds 176194 F.... pt_data_worker cds 176195 F.... pt_data_worker ywl 190013 F.... python /dev/nvidia1: ljq 8406 F.... nvitop lxy 9267 F.... python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lxy 102767 F.... python lxy 102808 F.... python lxy 102840 F.... python lxy 102872 F.... python lxy 102908 F.... python lxy 102940 F.... python lxy 102980 F.... python lxy 103014 F.... python zjx 129892 F.... python zjx 137955 F.... python zjx 137988 F.... python cds 150406 F...m python cds 151055 F.... gpustat cds 176186 F...m pt_data_worker cds 176188 F...m pt_data_worker cds 176194 F...m pt_data_worker cds 176195 F...m pt_data_worker ywl 190013 F.... python /dev/nvidia2: ljq 8406 F.... nvitop lxy 9267 F...m python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lxy 102767 F...m python lxy 102808 F...m python lxy 102840 F...m python lxy 102872 F...m python lxy 102908 F...m python lxy 102940 F...m python lxy 102980 F...m python lxy 103014 F...m python zjx 129892 F.... python zjx 137955 F.... python zjx 137988 F.... python cds 150406 F.... python cds 151055 F.... gpustat cds 176186 F.... pt_data_worker cds 176188 F.... pt_data_worker cds 176194 F.... pt_data_worker cds 176195 F.... pt_data_worker ywl 190013 F...m python /dev/nvidia3: ljq 8406 F.... nvitop lxy 9267 F.... python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lxy 102767 F.... python lxy 102808 F.... python lxy 102840 F.... python lxy 102872 F.... python lxy 102908 F.... python lxy 102940 F.... python lxy 102980 F.... python lxy 103014 F.... python zjx 129892 F.... python zjx 137955 F.... python zjx 137988 F.... python cds 150406 F.... python cds 151055 F.... gpustat cds 176186 F.... pt_data_worker cds 176188 F.... pt_data_worker cds 176194 F.... pt_data_worker cds 176195 F.... pt_data_worker ywl 190013 F.... python /dev/nvidiactl: ljq 8406 F.... nvitop lxy 9267 F...m python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lyf 86331 F...m python lxy 102767 F...m python lxy 102808 F...m python lxy 102840 F...m python lxy 102872 F...m python lxy 102908 F...m python lxy 102940 F...m python lxy 102980 F...m python lxy 103014 F...m python zjx 129892 F...m python zjx 137955 F...m python zjx 137988 F...m python cds 150406 F...m python cds 151055 F.... gpustat cds 176186 F...m pt_data_worker cds 176188 F...m pt_data_worker cds 176194 F...m pt_data_worker cds 176195 F...m pt_data_worker ywl 190013 F...m python /dev/nvidia-uvm: ljq 8406 F.... nvitop lxy 9267 F...m python lxy 10730 F.... gpustat lyf 11182 F.... gpustat yly 16564 F.... nvitop zjx 46854 F.... gpustat lyf 86331 F...m python lxy 102767 F.... python lxy 102808 F.... python lxy 102840 F.... python lxy 102872 F.... python lxy 102908 F.... python lxy 102940 F.... python lxy 102980 F.... python lxy 103014 F.... python zjx 129892 F...m python zjx 137955 F.... python zjx 137988 F.... python cds 150406 F...m python cds 176186 F.... pt_data_worker cds 176188 F.... pt_data_worker cds 176194 F.... pt_data_worker cds 176195 F.... pt_data_worker ywl 190013 F...m python root@SDAI202-PowerEdge-T630:~# |
我们可以一键清理所有的进程:
|
1 2 3 4 5 6 7 8 |
root@SDAI202-PowerEdge-T630:~# sudo fuser -k /dev/nvidia* /dev/nvidia0: 8406 9267 10730 11182 16564 46854 86331m 102767 102808 102840 102872 102908 102940 102980 103014 129892m 137955m 137988m 150406 176186 176188 176194 176195 190013 192771 192803 192835 192867 195959 /dev/nvidia1: 8406 9267 10730 11182 16564 46854 102767 102808 102840 102872 102908 102940 102980 103014 129892 137955 137988 150406m 176186m 176188m 176194m 176195m 190013 192771 192803 192835 192867 195959 /dev/nvidia2: 8406 9267m 10730 11182 16564 46854 102767m 102808m 102840m 102872m 102908m 102940m 102980m 103014m 129892 137955 137988 150406 176186 176188 176194 176195 190013m 192771m 192803m 192835m 192867m 195959 /dev/nvidia3: 8406 9267 10730 11182 16564 46854 102767 102808 102840 102872 102908 102940 102980 103014 129892 137955 137988 150406 176186 176188 176194 176195 190013 192771 192803 192835 192867 195959 /dev/nvidiactl: 8406 9267m 10730 11182 16564 46854 86331m 102767m 102808m 102840m 102872m 102908m 102940m 102980m 103014m 129892m 137955m 137988m 150406m 176186m 176188m 176194m 176195m 190013m 192771m 192803m 192835m 192867m 195959 /dev/nvidia-uvm: 8406 9267m 10730 11182 16564 46854 86331m 102767 102808 102840 102872 102908 102940 102980 103014 129892m 137955 137988 150406m 176186 176188 176194 176195 190013m 192771 192803 192835 192867 195959 root@SDAI202-PowerEdge-T630:~# |




最新评论
博主好,路过留言交流一下~我在做源头中转 Twinkle Model(利益相关):GPT 1折、国模 1折(GLM/DeepSeek/Kimi)、满血 Claude,低价稳定。价格全在模型广场 https://big-model.smart-agi.com/model-plaza ,有兴趣可以看看。
博主分享的 Surge 增强模式接管应用分流思路很赞!确实,系统大版本升级后,老牌 Proxifier 由于底层驱动兼容性问题经常莫名崩溃。在 Mac 上有 Surge 这种神器接管,但是在 Windows 平台上,很多人又很难找到兼顾‘轻量分流+稳定不崩溃’的工具:ProxiFyre 依赖 WireSock 内核驱动容易蓝屏且纯命令行,开 TUN 虚拟网卡又会把开发网段和公司 VPN 改乱。 如果是 Windows 用户寻找 Proxifier 替代品,非常推荐关注 Ghost Proxifier Pro: - 纯用户态 Winsock API Hook:完全免安装内核驱动和虚拟网卡,零蓝屏隐患,不改动系统默认网关与路由表; - 智能递归子进程树:很多现代客户端(如播放器、流媒体套件、IDE)会派生子进程,它能自动递归识别并接管流量,杜绝漏代理; - 现代 Fluent 图形界面:直接拖入目标 exe 即可一键绑定 SOCKS5/HTTP 节点,比老版配置规则直观很多。 注:该工具为非开源的独立客户端软件。 - 官网主页:https://ghostproxifier.com - 项目发布:https://github.com/liliBestCoder/ghost-proxifier-pro
曾经最爱之一,还有emlog,zblog
感谢分享经验,谢谢站长!!已收藏
牛牛牛
同样
站长您好,亚马逊云咨询推广资源,望建立联系,可邮件,谢谢。
换友情链接吗?