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diff --git a/collectors/python.d.plugin/nvidia_smi/README.md b/collectors/python.d.plugin/nvidia_smi/README.md
index 9bfb2094b..f8ce824df 100644
--- a/collectors/python.d.plugin/nvidia_smi/README.md
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@@ -12,7 +12,13 @@ Monitors performance metrics (memory usage, fan speed, pcie bandwidth utilizatio
## 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.
+- You must enable this plugin, as its disabled by default due to minor performance issues:
+ ```bash
+ cd /etc/netdata # Replace this path with your Netdata config directory, if different
+ sudo ./edit-config python.d.conf
+ ```
+ Remove the '#' before nvidia_smi so it reads: `nvidia_smi: yes`.
+
- 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.