Overview

There is a list of development boards that are fully supported by Edge Impulse. These boards come with a special firmware which enables data collection from all their sensors, allows you to build new ready-to-go binaries that include your trained impulse, and come with examples on integrating your impulse with your custom firmware. These boards are the perfect way to start building Machine Learning solutions on real embedded hardware.

Officially supported MCU targets

• Alif Ensemble E7

• Arduino Nano 33 BLE Sense

• Arduino Nicla Sense ME

• Arduino Nicla Vision

• Arduino Portenta H7 + Vision Shield

• Espressif ESP32

• Himax WE-I Plus

• Infineon PSoC 62S2 Wi-Fi BT Pioneer Kit

• Nordic Semi nRF52840 DK

• Nordic Semi nRF5340 DK

• Nordic Semi nRF9160 DK

• Nordic Semi Thingy:53

• Nordic Semi Thingy:91

• OpenMV Cam H7 Plus

• Silicon Labs xG24 Dev Kit

• Silicon Labs Thunderboard Sense 2

• Sony's Spresense

• ST B-L475E-IOT01A

• Synaptics Katana EVK

• Syntiant TinyML Board

• TI CC1352P Launchpad

• Raspberry Pi RP2040

Officially supported CPU/GPU targets

• Intel Based Macs

• Linux x86_64

• NVIDIA Jetson Nano

• Raspberry Pi 4

Community boards

• Arducam Pico4ML TinyML Dev Kit

• Blues Wireless Swan

• RAKwireless WisBlock

• Seeed Wio Terminal

• Seeed reComputer Jetson

• TI SK-AM62

Different development board? No problem, you can always collect data using the Data forwarder or the Edge Impulse for Linux SDK, and deploy your model back to the device with the Running your impulse locally tutorials. Also, if you feel like porting your board, use this Porting guide.

Just want to experience Edge Impulse? You can also use your Mobile phone!