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+<!--
+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.
+
+## Charts
+
+It produces the following charts:
+
+- PCI Express Bandwidth Utilization in `KiB/s`
+- Fan Speed in `percentage`
+- GPU Utilization in `percentage`
+- Memory Bandwidth Utilization in `percentage`
+- Encoder/Decoder Utilization in `percentage`
+- Memory Usage in `MiB`
+- Temperature in `celsius`
+- Clock Frequencies in `MHz`
+- Power Utilization in `Watts`
+- Memory Used by Each Process in `MiB`
+- Memory Used by Each User in `MiB`
+- Number of User on GPU in `num`
+
+## Configuration
+
+Edit the `python.d/nvidia_smi.conf` configuration file using `edit-config` from the Netdata [config
+directory](/docs/configure/nodes.md), 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
+exclude_zero_memory_users : yes
+```
+
+[![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)](<>)