linux RTX2080顯卡驅動
安裝RTX2080顯卡驅動
服務器配置#
服務器型號：DELL PowerEdge R730
CPU：2*Intel(R) Xeon(R) E5-2650 v4
內存：8*32G
磁盤：2*1.2T，raid 0
顯卡：2*Nvidia RTX2080
系統：Ubuntu 18.04
使用標準Ubuntu 倉庫進行自動化安裝#
首先，檢測顯卡型號和推薦的驅動程序的模型。在命令行中輸入如下命令：
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root@rohn-PowerEdge-R730:/home/rohn# ubuntu-drivers devices == /sys/devices/pci0000:80/0000:80:02.0/0000:82:00.0 == modalias : pci:v000010DEd00001E82sv00001043sd00008674bc03sc00i00 vendor : NVIDIA Corporation driver : nvidia-driver-410 - third-party free driver : nvidia-driver-415 - third-party free driver : nvidia-driver-430 - third-party free recommended driver : nvidia-driver-418 - third-party free driver : xserver-xorg-video-nouveau - distro free builtin
從輸出結果可以看到，目前系統已連接Nvidia RTX2080顯卡，CUDA 10.0 需要 410.x 或更高版本。并且建議安裝驅動程序是 nvidia-430版本的驅動。
安裝驅動：
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sudo ubuntu-drivers autoinstall
由于DELL對未認證的PCI設備的熱量估算不準確造成的，默認會加大風扇風速。可以用ipmi有關命令關閉PCIE卡的響應。
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sudo apt install ipmitool ipmitool raw 0x30 0xce 0x00 0x16 0x05 0x00 0x00 0x00 0x05 0x00 0x01 0x00 0x00
安裝完成后重啟系統：
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reboot
查看：
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root@rohn-PowerEdge-R730:~# nvidia-smi Mon Jun 3 09:56:45 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 430.14 Driver Version: 430.14 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce RTX 2080 Off | 00000000:04:00.0 Off | N/A | | 22% 28C P8 17W / 215W | 0MiB / 7982MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce RTX 2080 Off | 00000000:82:00.0 Off | N/A | | 22% 29C P8 20W / 215W | 0MiB / 7982MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+
安裝CUDA#
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# Add NVIDIA package repositories wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub sudo apt-get update wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb sudo apt-get update # Install NVIDIA driver sudo apt-get install --no-install-recommends nvidia-driver-410 # Reboot. Check that GPUs are visible using the command: nvidia-smi # Install development and runtime libraries (~4GB) sudo apt-get install --no-install-recommends \ cuda-10-0 \ libcudnn7=7.4.1.5-1+cuda10.0 \ libcudnn7-dev=7.4.1.5-1+cuda10.0 # Install TensorRT. Requires that libcudnn7 is installed above. sudo apt-get update && \ sudo apt-get install nvinfer-runtime-trt-repo-ubuntu1804-5.0.2-ga-cuda10.0 \ && sudo apt-get update \ && sudo apt-get install -y --no-install-recommends libnvinfer-dev=5.0.2-1+cuda10.0
出處：https://www.cnblogs.com/Rohn/p/10971326.html
Linux
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