SBCs & Development Boards

Manufacturer: ArduinoMPN: ABX00162

• Hybrid platform with Qualcomm® Dragonwing™ QRB2210 MPU and STM32U585 real-time MCU
• 2GB LPDDR4 RAM and 16GB eMMC for Linux-based embedded and edge AI projects
• Arduino UNO compatible with classic UNO shields, new carriers, and Qwiic expansion
• AI, vision, and audio capabilities for object recognition, voice commands, motion detection, and more
• Arduino App Lab for unified development using Arduino Sketches, Python®, and preloaded AI models
• Wi-Fi® 5, Bluetooth® 5.1, USB-C, LED matrix, and high-speed headers for versatile prototyping and product development tasks

• Dual-brain architecture: Linux-capable MPU + real-time MCU on one board
• Qualcomm® Dragonwing™ QRB2210 (quad-core Arm® Cortex®-A53 @ 2.0 GHz) + STM32U585 (Arm® Cortex®-M33 up to 160 MHz)
• 4GB LPDDR4 and 32GB eMMC (no SD card required) – recommended for SBC mode and more advanced AI use cases
• Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 with onboard antennas
• USB-C with host/device role switching and video output; connect USB peripherals via dongle
• Arduino UNO ecosystem compatible: classic UNO headers, high-speed headers, and Qwiic expansion
• Arduino App Lab: unified workflow for Arduino Sketches, Python®, and containerized AI models
• 8×13 LED matrix + RGB LEDs for visual feedback and UI prototyping

• Dual-brain architecture: Qualcomm Dragonwing™ IQ8 (QCS8275) + STM32H5F5 for deterministic real-time actuation
• AI compute: Hexagon Tensor AI Processor (NPU) with up to 40 Dense TOPS
• Memory & storage: 16GB LPDDR5 (2×8GB) + 64GB eMMC, M.2 NVMe Gen4 expansion
• Connectivity: Wi-Fi® 6 (2.4/5/6 GHz), Bluetooth® 5.3, 2.5Gbit Ethernet
• Adapter-free I/O: USB-C (host/device + DP Alt Mode video), 2× USB 3.0 Type-A, HDMI, MIPI CSI / MIPI DSI via carrier headers
• Industrial/robotics I/O: CAN-FD (PHY on screw terminal) plus additional CAN-FD lines via headers, JOMEGA expansion
• Ecosystem: Raspberry Pi® HATs (40-pin), Arduino® UNO shields/carriers, Qwiic/Modulino® + 8×13 LED matrix
• Software: Linux (Debian/Ubuntu), Arduino Core on Zephyr OS, Docker/Docker Compose, Arduino App Lab

• Qualcomm QCM6490 Octa-Core SBC (1.9–2.7 GHz)
• Adreno 643 GPU & 12 TOPS NPU
• 5G Sub-6, Wi-Fi 6E, Bluetooth 5.2 & GNSS
• Rich industrial I/O including USB, RS232, RS485, CAN, Ethernet, HDMI & MIPI CSI
• Supports Ubuntu 20.04, Android 13* and Windows 11*
• Low-power operation with Auto-Power-On, Wake-on-LAN & Watchdog
• Optional WiFi-only configuration available

Manufacturer: Quectel

MPN: QSM200UPEMNA-4G64-PI-M1

• SBC board based on the Qualcomm SM6115 platform with 4GB LPDDR4X and 64GB eMMC.
• ARM octa-core 64-bit processor with 4x A73 @ 2.0 GHz and 4x A53 @ 1.8 GHz.
• Adreno 610 GPU for multimedia, HMI, and edge workloads.
• LTE Cat 4, Wi-Fi 2.4/5 GHz, Bluetooth 5.0, and optional GNSS support.
• USB 3.0, USB 2.0, HDMI, Gigabit Ethernet, camera, SIM, eSIM, and SD at board level.
• Linux, Android, and Ubuntu are supported at platform level.

• Qualcomm QCM6490 Octa-Core SBC (1.9–2.7 GHz)
• 12 TOPS NPU for AI acceleration
• 5G Sub-6, Wi-Fi 6E, Bluetooth 5.2, GNSS support
• Rich industrial I/O: USB, RS232, RS485, CAN, Ethernet, HDMI, MIPI CSI & more
• Supports Ubuntu 20.04, Android 13* and Windows 11*
• Low-power operation with Auto-Power-On, WoL & Watchdog
• Optional WiFi-only version available

Manufacturer: ThundercommMPN: Rubik Pi 3

• Complete vision and AI development kit for real-world conditions
• Combines Rubik Pi 3 edge AI platform with ToF i200 depth camera
• 12.5 TOPS AI performance at the edge
• Sunlight-robust 3D depth sensing
• Ideal for robotics, autonomy and industrial perception
• Accelerates prototyping and time-to-market

Manufacturer: Quectel

MPN: QSM668SREM-4U64-AAPCB 

• SBC QSM board based on the SC668S-EM smart module with QCM6125 and a 4GB RAM / 64GB storage configuration.
• Octa-core platform with Kryo 260 CPU, Adreno 610 GPU, and 1.1 TOPS NPU for edge and multimedia workloads.
• 4G LTE Cat 4, Wi-Fi, Bluetooth, and GNSS support for connected embedded systems.
• USB, Ethernet, RS232, RS485, CAN, HDMI, MIPI CSI, SIM, and SD at platform level.
• Android, Linux, and Ubuntu are supported at platform level.
• Suitable for edge computing, IoT gateways, HMI, smart displays, POS, and industrial embedded systems.

• Concept: Compact SBC QSM-board for edge computing, HMI, and multimedia designs based on the QSM668SR system with Qualcomm QCM6125
• Configuration: WF variant with 4 GB RAM, 64 GB storage, Kryo 260 octa-core, Adreno 610 GPU, 1.1 TOPS NPU, and support for Android, Linux, and Ubuntu
• Use case: Suitable for intelligent displays, IoT gateways, robotics, smart home, industrial HMIs, and embedded multimedia applications with local wireless connectivity
• Development focus: High-performance application platform with multimedia, camera, and peripheral connectivity for product-oriented embedded and edge AI development
• Design note: This WF version is based on the SC668S-WF and is the variant focused on Wi-Fi and Bluetooth; the following QSM668SR-EM 4+64GB addresses the cellular LTE configuration instead