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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:38 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2019-09-03 10:23:38 +0000 |
| commit | 574098461cd45be12a497afbdac6f93c58978387 (patch) | |
| tree | 9eb60a5930b7c20d42f7fde1e234cae3968ed3d9 /collectors/python.d.plugin/nvidia_smi/README.md | |
| parent | Adding upstream version 1.16.1. (diff) | |
| download | netdata-upstream/1.17.0.tar.xz netdata-upstream/1.17.0.zip | |
Adding upstream version 1.17.0.upstream/1.17.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'collectors/python.d.plugin/nvidia_smi/README.md')
| -rw-r--r-- | collectors/python.d.plugin/nvidia_smi/README.md | 38 |
1 files changed, 20 insertions, 18 deletions
diff --git a/collectors/python.d.plugin/nvidia_smi/README.md b/collectors/python.d.plugin/nvidia_smi/README.md index 48b61195..71e3e288 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: <https://github.com/netdata/netdata/pull/4357> - * 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 ``` -[]() + +[](<>) |