文件操作 - README.md
返回文件管理
返回主菜单
删除本文件
文件: /usr/local/src/netdata/collectors/python.d.plugin/nvidia_smi/README.md
编辑文件内容
<!-- title: "Nvidia GPU monitoring with Netdata" custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/python.d.plugin/nvidia_smi/README.md sidebar_label: "Nvidia GPUs" --> # Nvidia GPU monitoring with Netdata Monitors performance metrics (memory usage, fan speed, pcie bandwidth utilization, temperature, etc.) using `nvidia-smi` cli tool. **Requirements and Notes:** - You must have the `nvidia-smi` tool installed and your NVIDIA GPU(s) must support the tool. Mostly the newer high end models used for AI / ML and Crypto or Pro range, read more about [nvidia_smi](https://developer.nvidia.com/nvidia-system-management-interface). - You must enable this plugin as its disabled by default due to minor performance issues. - On some systems when the GPU is idle the `nvidia-smi` tool unloads and there is added latency again when it is next queried. If you are running GPUs under constant workload this isn't likely to be an issue. - Currently the `nvidia-smi` tool is being queried via cli. Updating the plugin to use the nvidia c/c++ API directly should resolve this issue. See discussion here: <https://github.com/netdata/netdata/pull/4357> - Contributions are welcome. - Make sure `netdata` user can execute `/usr/bin/nvidia-smi` or wherever your binary is. - If `nvidia-smi` process [is not killed after netdata restart](https://github.com/netdata/netdata/issues/7143) you need to off `loop_mode`. - `poll_seconds` is how often in seconds the tool is polled for as an integer. It produces: 1. Per GPU - GPU utilization - memory allocation - memory utilization - fan speed - power usage - temperature - clock speed - PCI bandwidth ## Configuration Edit the `python.d/nvidia_smi.conf` configuration file using `edit-config` from the your agent's [config directory](/docs/step-by-step/step-04.md#find-your-netdataconf-file), which is typically at `/etc/netdata`. ```bash cd /etc/netdata # Replace this path with your Netdata config directory, if different sudo ./edit-config python.d/nvidia_smi.conf ``` Sample: ```yaml loop_mode : yes poll_seconds : 1 ``` [](<>)
修改文件时间
将文件时间修改为当前时间的前一年
删除文件