GPU Operator의 POD(deployments, daemonsets)에 설정된 priorit圜lassName 주석 처리 $ k describe replicaset.apps gpu-operator-xxxx -n gpu-operator | grep Events -A10 Service/gpu-operator-1623115703-node-feature-discovery createdĭaemonset.apps/gpu-operator-1623115703-node-feature-discovery-worker createdĭeployment.apps/gpu-operator-1623115703-node-feature-discovery-master createdĬ/cluster-policy created Serviceaccount/node-feature-discovery createdĬonfigmap/gpu-operator-1623115703-node-feature-discovery createdĬ8s.io/gpu-operator-1623115703-node-feature-discovery-master createdĬ8s.io/gpu-operator createdĬ8s.io/gpu-operator-1623115703-node-feature-discovery-master createdĬ8s.io/gpu-operator created $ k apply -f gpu-operator-1.7.0_driver-disable.yaml -n gpu-operator $ k create -f _clusterpolicies_crd.yamlĬ/ created
#Install cuda linux 9.5 install
Nvidia ~ % helm install nvidia/gpu-operator -n gpu-operator -create-namespace -generate-name -version 1.7.0 -set driver.enabled=false -dry-run > ~ % wget ~ % Install ~ % helm repo list | egrep 'NAME|nvidia' The NVIDIA® CUDA® Deep Neural Network library™ (cuDNN) is a GPU-accelerated library of primitives for deep neural networks $ sudo apt-get -y install cuda-libraries-11-2 cuda-cupti-11-2Įxport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2/lib64 # cuda-cupti-11-2: CUDA profiling tools runtime libs. # cuda-libraries-11-2: CUDA Libraries 11.2 meta-package $ sudo apt-key add /var/cuda-repo-ubuntu-local/7fa2af80.pub $ sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600 The NVIDIA® CUDA® Toolkit provides a development environment for creating high performance GPU-accelerated applications. | GPU GI CI PID Type Process name GPU Memory | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. Check that you have pkg-config and the libglvndĭevelopment libraries installed, or specify a path with -glvnd-egl-config-path. WARNING: Unable to determine the path to install the libglvnd EGL vendor library config files. 32-bit compatibility files will not be installed if you wish to install them, re-run the installation and set a valid directory with the -compat32-libdir option. Your system may not be set up for 32-bit compatibility.
WARNING: Unable to find a suitable destination to install 32-bit compatibility libraries.
The distribution-provided pre-install script failed! Are you sure you want to continue?
#Install cuda linux 9.5 driver
Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 460.73.01. Target directory : NVIDIA-Linux-x86_64-460.73.01Īpplication run after extraction. Identification : NVIDIA Accelerated Graphics Driver for Linux-x86_64 460.73.01 Update-initramfs: Generating /boot/initrd.img-5.4.0-73-generic
#Install cuda linux 9.5 free
Modalias : pci:v000010DEd00001DF6sv000010DEsd000013D6bc03sc02i00ĭriver : nvidia-driver-460 - distro non-freeĭriver : nvidia-driver-450-server - distro non-freeĭriver : nvidia-driver-465 - distro non-free recommendedĭriver : nvidia-driver-460-server - distro non-freeĭriver : xserver-xorg-video-nouveau - distro free builtin Ipmi_msghandler 102400 3 ipmi_devintf,ipmi_si,ipmi_ssif $ lsmod | egrep 'i2c_core|ipmi_msghandler' GPU Operator를 이용한 NVIDIA Driver 설치 시 kubernetes에서만 GPU 사용 가능 NVIDIA Driver & Cuda toolkit (library) Install
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