From 574098461cd45be12a497afbdac6f93c58978387 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Tue, 3 Sep 2019 12:23:38 +0200 Subject: Adding upstream version 1.17.0. Signed-off-by: Daniel Baumann --- collectors/python.d.plugin/nvidia_smi/README.md | 38 +++++++++++++------------ 1 file changed, 20 insertions(+), 18 deletions(-) (limited to 'collectors/python.d.plugin/nvidia_smi') diff --git a/collectors/python.d.plugin/nvidia_smi/README.md b/collectors/python.d.plugin/nvidia_smi/README.md index 48b611951..71e3e2889 100644 --- a/collectors/python.d.plugin/nvidia_smi/README.md +++ b/collectors/python.d.plugin/nvidia_smi/README.md @@ -4,37 +4,39 @@ This module monitors the `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 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. +- 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. +- 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 +- 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: - * Contributions are welcome. +- Contributions are welcome. - * Make sure `netdata` user can execute `/usr/bin/nvidia-smi` or wherever your binary is. +- Make sure `netdata` user can execute `/usr/bin/nvidia-smi` or wherever your binary is. - * `poll_seconds` is how often in seconds the tool is polled for as an integer. +- `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 +1. Per GPU -### configuration + - GPU utilization + - memory allocation + - memory utilization + - fan speed + - power usage + - temperature + - clock speed + - PCI bandwidth + +## configuration Sample: ```yaml poll_seconds: 1 ``` -[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fcollectors%2Fpython.d.plugin%2Fnvidia_smi%2FREADME&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)]() + +[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fcollectors%2Fpython.d.plugin%2Fnvidia_smi%2FREADME&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>) -- cgit v1.2.3