---
title: Nvidia Jetson
description: Get metrics about your Nvidia Jetson board
breadcrumbs: Docs > Integrations > Nvidia Jetson
---

# Nvidia Jetson
Supported OS Integration version1.0.0
## Overview{% #overview %}

This check monitors an [NVIDIA Jetson](https://developer.nvidia.com/embedded-computing) board. It reports the metrics collected from `tegrastats`.

## Setup{% #setup %}

### Installation{% #installation %}

The NVIDIA Jetson check is included in the [Datadog Agent](https://app.datadoghq.com/account/settings/agent/latest) package. No additional installation is needed on your server.

### Configuration{% #configuration %}

1. Create a `jetson.d/conf.yaml` file in the `conf.d/` folder at the root of your Agent's configuration directory to start collecting your Jetson performance data. See the [sample jetson.d/conf.yaml.example](https://github.com/DataDog/datadog-agent/blob/master/cmd/agent/dist/conf.d/jetson.d/conf.yaml.example) for all available configuration options.

1. [Restart the Agent](https://docs.datadoghq.com/agent/guide/agent-commands/#start-stop-restart-the-agent).

### Validation{% #validation %}

Run the [Agent's status subcommand](https://docs.datadoghq.com/agent/guide/agent-commands/#agent-status-and-information) and look for `jetson` under the Checks section.

## Data Collected{% #data-collected %}

### Metrics{% #metrics %}

|  |
|  |
| **nvidia.jetson.cpu.freq**(gauge)            | CPU frequency*Shown as megahertz*                                                                                                             |
| **nvidia.jetson.cpu.inactive\_count**(gauge) | Number of inactive cores*Shown as unit*                                                                                                       |
| **nvidia.jetson.cpu.total\_count**(gauge)    | Total number of cores*Shown as unit*                                                                                                          |
| **nvidia.jetson.cpu.usage**(gauge)           | Load statistics of the CPU core relative to the current running frequency or 'off' in case a core is currently powered down*Shown as percent* |
| **nvidia.jetson.emc.freq**(gauge)            | EMC frequency*Shown as megahertz*                                                                                                             |
| **nvidia.jetson.emc.usage**(gauge)           | Percent of EMC memory bandwidth being used relative to the current running frequency*Shown as percent*                                        |
| **nvidia.jetson.gpu.freq**(gauge)            | GR3D frequency*Shown as megahertz*                                                                                                            |
| **nvidia.jetson.gpu.usage**(gauge)           | Percent of the GR3D that is being used relative to the current running frequency*Shown as percent*                                            |
| **nvidia.jetson.iram.lfb**(gauge)            | Size of the largest free block*Shown as byte*                                                                                                 |
| **nvidia.jetson.iram.total**(gauge)          | Total amount of IRAM memory available*Shown as byte*                                                                                          |
| **nvidia.jetson.iram.used**(gauge)           | Amount of IRAM memory in use*Shown as byte*                                                                                                   |
| **nvidia.jetson.mem.lfb**(gauge)             | Size of the largest free block*Shown as byte*                                                                                                 |
| **nvidia.jetson.mem.n\_lfb**(gauge)          | The number of free blocks of the largest size*Shown as unit*                                                                                  |
| **nvidia.jetson.mem.total**(gauge)           | Total amount of RAM available for applications*Shown as byte*                                                                                 |
| **nvidia.jetson.mem.used**(gauge)            | Amount of RAM in use*Shown as byte*                                                                                                           |
| **nvidia.jetson.power.average**(gauge)       | Average power consumption*Shown as milliwatt*                                                                                                 |
| **nvidia.jetson.power.instant**(gauge)       | Current power consumption*Shown as milliwatt*                                                                                                 |
| **nvidia.jetson.swap.cached**(gauge)         | Amount of SWAP cached in megabytes*Shown as byte*                                                                                             |
| **nvidia.jetson.swap.total**(gauge)          | Total amount of SWAP available for applications*Shown as byte*                                                                                |
| **nvidia.jetson.swap.used**(gauge)           | Amount of SWAP in use in megabytes*Shown as byte*                                                                                             |
| **nvidia.jetson.temp**(gauge)                | Temperature*Shown as degree celsius*                                                                                                          |

Some metrics are reported only if `use_sudo` is set to true:

- `nvidia.jetson.iram.used`
- `nvidia.jetson.iram.total`
- `nvidia.jetson.iram.lfb`
- `nvidia.jetson.emc.freq`
- `nvidia.jetson.gpu.freq`
- `nvidia.jetson.cpu.freq`

### Service Checks{% #service-checks %}

The NVIDIA Jetson integration does not include any service checks.

### Events{% #events %}

The NVIDIA Jetson integration does not include any events.

## Troubleshooting{% #troubleshooting %}

Need help? Contact [Datadog support](https://docs.datadoghq.com/help/).