---
title: NVIDIA Jetson integration
source: https://docs.newrelic.com/docs/infrastructure/host-integrations/host-integrations-list/nvidia-jetson-integration
---

Our NVIDIA Jetson integration collects and sends data about your tegrastats utility to New Relic, where you can monitor CPU, GPU, RAM, and temperature readings about your NVIDIA Jetson device.

![NVIDIA Jetson dashboard](https://docs.newrelic.com/images/infrastructure_screenshot_full-nvidia-jetson-dashboard.webp "NVIDIA Jetson dashboard")

After setting up our NVIDIA Jetson integration, we give you a dashboard for your NVIDIA Jetson metrics.

## Install the NVIDIA Jetson integration [#install-jetson]

Follow these steps to collect data about your NVIDIA Jetson device:

### Install the infrastructure agent [#infra-install]

To use the NVIDIA Jetson integration, you need to first [install the infrastructure agent](https://docs.newrelic.com/docs/infrastructure/install-infrastructure-agent/get-started/install-infrastructure-agent-new-relic/) onto your host. The infrastructure agent monitors the host itself, while the integration itself extends your monitoring to include NVIDIA Jetson-specific data.

### Save tegrastats to a file [#save-tegrastats]

From your shell environment, change to the tegrastats directory and run this command to save NVIDIA Jetson metrics at 5 second intervals:

````shell
sudo tegrastats --interval 5000 --logfile tegrastats
```

````

### Enable the NVIDIA Jetson integration with nri-flex [#enable-jetson]

To set up the NVIDIA Jetson integration, follow these steps:

1.  Create a file named `nvidia-jetson-config.yml` and save it in the integrations directory:

    ```shell
    sudo nano /etc/newrelic-infra/integrations.d/nvidia-jetson-config.yml
    ```

2.  Enable the agent to capture data from NVIDIA Jetson by adding the following snippet to your `nvidia-jetson-config.yml` file:

    ```yml
    integrations:
      - name: nri-flex
        config:
          name: JetsonMetrics
          apis:
            - event_type: jetsonTegrastats
              commands:
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [ram_used, ram_total]
                  regex_match: true
                  split_by: "RAM (\\d+)/(\\d+)"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [lfb_num, lfb_size]
                  regex_match: true
                  split_by: "\\(lfb (\\d+)x(\\d+)MB\\)"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [swap_used, swap_total, swap_cached]
                  regex_match: true
                  split_by: "SWAP (\\d+)/(\\d+) \\(cached (\\d+)MB\\)" 
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [iram_used, iram_total, lfb_block]
                  regex_match: true
                  split_by: "IRAM (\\d+)/(\\d+)kB\\(lfb (\\d+)kB\\)"        
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [cpu1_usage, cpu1_freq]
                  regex_match: true
                  split_by: "CPU \\[(\\d+)%@(\\d+)" 
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [cpu2_usage, cpu2_freq]
                  regex_match: true
                  split_by: ",(\\d+)%@(\\d+)" 
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [cpu3_usage, cpu3_freq]
                  regex_match: true
                  split_by: ",(\\d+)%@(\\d+)" 
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [cpu4_usage, cpu4_freq]
                  regex_match: true
                  split_by: ",(\\d+)%@(\\d+)\\]"       
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [emc_freq_pct, emc_freq_val]
                  regex_match: true
                  split_by: "EMC_FREQ (\\d+)%@(\\d+)"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [gr3d_freq_pct, gr3d_freq_val, ape, pll_temp]
                  regex_match: true
                  split_by: "GR3D_FREQ (\\d+)%@(\\d+) APE (\\d+) PLL@(\\d+)C" 
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [cpu_temp, pmic_temp, gpu_temp]
                  regex_match: true
                  split_by: "CPU@(\\d+\\.?\\d*)C? PMIC@(\\d+\\.?\\d*)C? GPU@(\\d+\\.?\\d*)C?"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [ao_temp, thermal_temp]
                  regex_match: true
                  split_by: "AO@(\\d+\\.?\\d*)C? thermal@(\\d+\\.?\\d*)C?"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [pom_in_currect, pom_in_peak]
                  regex_match: true
                  split_by: "POM_5V_IN (\\d+)/(\\d+)"
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [pom_gpu_used, pom_gpu_total]
                  regex_match: true
                  split_by: "POM_5V_GPU (\\d+)/(\\d+)"   
                - run: tail -n 3 path/to/tegrastats
                  split: horizontal
                  set_header: [pom_cpu_used, pom_cpu_total]
                  regex_match: true
                  split_by: "POM_5V_CPU (\\d+)/(\\d+)"            
    ```

### Restart the New Relic infrastructure agent [#restart-agent]

Restart your infrastructure agent by running this command in your shell environment:

````shell
sudo systemctl restart newrelic-infra.service
```

Wait a couple of minutes as your application sends metrics to [one.newrelic.com](https://one.newrelic.com).

````

### Find your data [#find-data]

You can use our pre-built dashboard template to monitor your NVIDIA Jetson  data. Follow these steps to use our pre-built dashboard template:

1.  From [one.newrelic.com](https://one.newrelic.com), go to the **+ Integrations & Agents** page, then click **Dashboards**
2.  Search for NVIDIA Jetson in the search bar, then select NVIDIA Jetson to install the dashboard.
3.  View your dashboard by going to **[one.newrelic.com](https://one.newrelic.com) > All Capabilities > Dashboards**.

    For docs on using and editing dashboards, see [our dashboard docs](https://docs.newrelic.com/docs/query-your-data/explore-query-data/dashboards/introduction-dashboards).

## Query your data with NRQL [#query-nrqll]

With NVIDIA Jetson reporting data, you can also build queries to learn more about your device's performance:

1.  From any page in **[one.newrelic.com](https://one.newrelic.com)**, click **Query your data** at the bottom of your browser.
2.  Build your query. For example, this is an example NRQL query to view the GPU temperature:

    ```sql
    SELECT latest(gpu_temp) as 'GPU temperature (C)' from jetsonTegrastats 
    ```

## What's next? [#whats-next]

To learn more about building NRQL queries and generating dashboards, check out these docs:

-   [Introduction to the query builder](https://docs.newrelic.com/docs/query-your-data/explore-query-data/query-builder/introduction-query-builder) to create basic and advanced queries.
-   [Introduction to dashboards](https://docs.newrelic.com/docs/query-your-data/explore-query-data/dashboards/introduction-dashboards) to customize your dashboard and carry out different actions.
-   [Manage your dashboard](https://docs.newrelic.com/docs/query-your-data/explore-query-data/dashboards/manage-your-dashboard) to adjust your dashboards display mode, or to add more content to your dashboard.