Best Linux Single Board Computers of 2026

Name: Arduino UNO Q - Hybrid Board, Qualcomm Dragonwing™ QRB2210 microprocessor & STM32U585 Microcontroller, AI Vision, Voice, IoT, Robotics, Linux® Debian OS
Brand: Arduino

Mike Davis

Last Updated: Jan 11, 2026

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Linux Single Board Computers are compact, versatile computing devices that run on the open-source Linux operating system. These mini computers are designed to be used in a variety of applications, including robotics, home automation, and media centers. They are equipped with powerful processors, ample memory, and a range of connectivity options, including Wi-Fi, Bluetooth, and Ethernet. Popular models include the Raspberry Pi and BeagleBone Black, which are affordable and easy to use. Linux Single Board Computers are an excellent choice for hobbyists, students, and professionals who want to experiment with computing technology and build innovative projects.

At a Glance: Our Top Picks

#TOP 1

Arduino UNO Q - Hybrid Board, Qualcomm Dragonwing™ QRB2210 microprocessor & STM32U585 Microcontroller, AI Vision, Voice, IoT, Robotics, Linux® Debian OS

9.9

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Arduino UNO Q - Hybrid Board, Qualcomm Dragonwing™ QRB2210 microprocessor & STM32U585 Microcontroller, AI Vision, Voice, IoT, Robotics, Linux® Debian OS

#TOP1

9.9

Read Review

#TOP 2

Google Coral USB Edge TPU ML Accelerator coprocessor

9.8

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Google Coral USB Edge TPU ML Accelerator coprocessor

#TOP2

9.8

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#TOP 3

2Pcs Raspberry Pi Pico Development Board

9.6

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2Pcs Raspberry Pi Pico Development Board

#TOP3

9.6

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Top 3 Linux Single Board Computers

#TOP 1

Arduino UNO Q - Hybrid Board, Qualcomm Dragonwing™ QRB2210 microprocessor & STM32U585 Microcontroller, AI Vision, Voice, IoT, Robotics, Linux® Debian OS

Arduino

TIFC00326

Arduino UNO Q [ABX00162] - Hybrid Board, Qualcomm Dragonwing™ QRB2210 microprocessor (MPU) & STM32U585 Microcontroller(MCU), AI Vision, Voice, IoT, Robotics, Linux® Debian OS, Wi-Fi® 5, USB-C®

9.9

FTB Score

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Features

AI & Linux Capabilities: Unlocks AI-Powered Vision And Sound Solutions; Runs Linux Debian OS For Coding In Python And Supports The Arduino Ecosystem With Libraries And Sketches; Quick Start With Arduino App Lab.

Dual-Brain Hybrid Power: Combines The Qualcomm Dragonwing QRB2210 MPU (Quad-Core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI Acceleration) And The Real-Time, Low-Power STM32U585 MCU For Advanced Applications Like Object Recognition, Voice Commands, And Motion Detection.

Seamless Expansion & Connectivity: Features The Classic UNO Form Factor For Shields Compatibility, An 8x13 LED Matrix, And A Qwiic Connector For Easy Expansion With Modulino Nodes; Power And Connect Via The USB-C Connector.

Intended Use & Development: The Perfect Platform For Prototyping Robotics Or IoT Projects, Empowering Innovators With A Unified Development Experience To Mix Arduino Sketches, Python Scripts, And Containerized AI Models In A Single Interface.

Advanced Features: Equipped With 2GB LPDDR4 RAM, 16 GB eMMC Built-In Storage, Dual-Band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, And High-Speed Headers For Vision, Audio, And Display Peripherals.

Google Coral USB Edge TPU ML Accelerator coprocessor

Google Coral

Coral-USB-Accelerator

Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

9.8

FTB Score

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The Google Coral Edge TPU is a coprocessor designed to accelerate machine learning tasks on single board computers. It features a 32-bit Cortex-M0+ Microprocessor, USB 3.1 port, and a USB 3.0 Type-C socket. The device is compatible with Debian Linux on the host CPU and supports the use of custom architectures through TensorFlow. Its main feature is the Google Edge TPU ML accelerator coprocessor, which enables the device to fully support MobileNet and Inception architectures. Additionally, it is compatible with Google Cloud. With the Google Coral Edge TPU, you can speed up your machine learning processes and enjoy seamless connectivity with other devices.

What We Like

Accelerates machine learning tasks

Supports custom architectures

Compatible with Google Cloud

#TOP 3

2Pcs Raspberry Pi Pico Development Board

EC Buying

Raspberry Pi Pico

Green

2Pcs Raspberry Pi Pico Development Board, Raspberry Pi RP2040 Dual-core ARM Cortex M0+ Processor, Running Up to 133 MHz, Support C/C++/Python, 2MB Quad SPI Flash Integrated with SPI/I2C/UART Interface

9.6

FTB Score

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Features

[Raspberry Pi RP2040 Microcontroller] Raspberry Pi Pico Features Dual-Core ARM Cortex M0+ Processor, Flexible Clock Running Up To 133 MHz. With 264KB Of SRAM, And 2MB Of On-Board Flash Memory.Supports Up To 16 MB Of Off Chip Flash Memory Via A Dedicated QSPI Bus

The Raspberry Pi Pico Is A Beginner-Friendly Microcontroller Board That Uses MicroPython To Give You A Taste Of The Internet Of Things And Microcontrollers. The RP2040 Is A Well-Designed Microprocessor That Can Be Utilized In Almost Any Internet Of Things Project. It Has Enough Power To Complete The Task Quickly.

[Rich Hardware Interface] Raspberry Pi Pico Has 30 GPIO Pins, 4 Pins For Analog Signal Input And 26 × Multi-Function GPIO Pins, 2 × SPI, 2 × I2C, 2 × UART, 3 × 12-Bit ADC, 16 × Controllable PWM Channels.USB 1.1 Supported By Host And Device, The Installation Mode Can Be Flexibly Selected By Users To Facilitate Welding With Other Development Boards.

[Multiple Software Support] Pico Has Rich And Complete Software Support, It Comes With A Complete Rasberry Pi Official C/C++ SDK, Micropython SDK.The Programming And Burning Of Pico Need To Be Carried Out On The Computer. Supported Operating Systems And Computers Include:Raspberry Pie With Raspberry Pi OS,Other Platforms Equipped With Debian Based Linux System Computer With MacOS, Computers With Windows, Etc.

[Build Project In Tiny Size] Only 2.1cm*5.1cm ( As Small As Your Thumb). Pico Has Been Designed To Use Either Soldered 0.1" Pin-Headers Or Can Be Used As A Surface-Mountable 'module'.