0/1 nodes are available: 1 Insufficient nvidia.com/gpu.

[liufangpeng]

Fri Feb 17 16:56:54 2023
+-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | 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 A40-4Q On | 00000000:02:00.0 Off | 0 | | N/A N/A P0 N/A / N/A | 0MiB / 4096MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+

[liufangpeng]

我使用的k8s-device-plugin:1.9 并且 kubectl describe node 提示了nvidia.com/gpu 0 0 依旧会报错

[liufangpeng]

插件上报错 2023/02/17 09:19:13 Starting to serve on /var/lib/kubelet/device-plugins/nvidia.sock 2023/02/17 09:19:13 Could not register device plugin: rpc error: code = Unimplemented desc = unknown service deviceplugin.Registration 2023/02/17 09:19:13 Could not contact Kubelet, retrying. Did you enable the device plugin feature gate? 2023/02/17 09:19:13 You can check the prerequisites at: https://github.com/NVIDIA/k8s-device-plugin#prerequisites 2023/02/17 09:19:13 You can learn how to set the runtime at: https://github.com/NVIDIA/k8s-device-plugin#quick-start

[github-actions[bot]]

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