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August 25, 2025August 26, 2025 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Forlinx FET3506J-C is an ultra-small (40 x 29mm) Rockchip RK3506J SoM with board-to-board connectors

Forlinx Embedded FET3506J-C is an ultra-small system-on-module (SoM) based on Rockchip RK3506J triple-core Cortex-A7 SoC measuring just 40 x 29mm, and equipped with up to 512MB DDR3, and 256MB NAND flash, or 8GB eMMC flash. I first thought I had already written about it, but the Forlinx FET3506J-S module introduced last March has a different design. It measures 44 x 35mm and exposes all I/Os through castellated holes, while the FET3506J-C features two 80-pin board-to-board (B2B) connectors instead. The company also provides the OK3506J-C single board computer for evaluation, but considering the module is inserted into the carrier board, as opposed to soldered, the carrier board could potentially be used with future modules using the same B2B connectors design. Forlinx FET3506J-C system-on-module Specifications: SoC – Rockchip RK3506J/B CPU 3x Arm Cortex-A7 core up to 1.5 GHz (RK3506J) or 1.6 GHz (RK3506B) Arm Cortex-M0 real-time core @ 200 MHz GPU – […]

August 22, 2025August 22, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

ArmSoM RK3588 AI Module7 system-on-module follows NVIDIA Jetson Nano form factor (Crowdfunding)

ArmSoM RK3588 AI Module7 (AIM7) is a Rockchip RK3588 system-on-module compatible with NVIDIA Jetson Nano and other 260-pin SO-DIMM Jetson modules, so you should be able to use it with a wide range of Jetson carrier boards. It is designed for edge computing, AI inference, VR/AR, smart NVR systems, and general-purpose applications. The RK3588 AIM7 ships with 4GB to 32GB RAM, 32GB to 128GB eMMC flash, and integrates a Rockchip RK806-1 PMIC, but no Gigabit Ethernet controller as found on the competing Mixtile Core 3588E. While the RK3588 SoM should work on most Jetson carrier boards, ArmSoM has also designed the AIM-IO carrier board to quickly get started with the module. RK3588 AI Module7 specifications: SoC – Rockchip RK3588 CPU – Octa-core processor with 4x Arm Cortex-A76 cores @ up to 2.4 GHz, 4x Arm Cortex-A55 cores @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL […]

August 21, 2025August 22, 2025 by Debashis Das - No Comments

Raspberry Pi CM5 carrier board supports dual Ethernet (1GbE + 2.5GbE) and wide 7V–36V DC input

Waveshare’s CM5-DUAL-ETH-BASE is a carrier board for the Raspberry Pi CM5, featuring dual Ethernet (1GbE + 2.5GbE), two 4K HDMI outputs, two MIPI CSI/DSI interfaces, and more. It supports NVMe SSDs or AI accelerators via an M.2 slot, offers USB 3.2/2.0 ports, a 40-pin GPIO header, and a wide 7V–36V DC input, making it ideal for industrial networking and edge computing applications. In the past, we have seen other carrier boards such as Seeed Studio’s CM5 MINIMA, Waveshare’s CM5-NANO-B, and CM5-PoE-BASE-A, among others. However, this is the only carrier board that features dual Ethernet with a 2.5GbE option and a wide input voltage range. Waveshare CM5-DUAL-ETH-BASE specifications: Compatibility – Compatible with all Raspberry Pi Compute Module 5 variants Storage M.2 M-Key slot (PCIe Gen2/3 x1) for NVMe SSDs or AI modules MicroSD card slot (for CM5 Lite without eMMC) Display and Camera 2x HDMI ports supporting dual 4K display output […]

August 15, 2025 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

ArmSoM CM1 – A $15 Compute Module/SBC hybrid powered by Rockchip RK3506J SoC

ArmSom CM1 RK3506J Compute Module and Carrier board

ArmSoM CM1 is a system-on-module/compute module powered by the industrial-grade Rockchip RK3506K tri-core Arm Cortex-A7 SoC, coupled with 256MB or 512MB DDR3L, 256MB or 512MB NAND flash, and exposing I/Os through 2.54mm pitch headers. The module is more of a SoM/SBC hybrid with a MIPI DSI display connector, a microSD card slot, a USB Type-C port, and 44-pin and 40-pin GPIO headers that allow the CM1 to be used as a standalone SBC or as a module connected to a baseboard like the company’s CM1-IO carrier board (aka ArmSoM-FORGE1-IO). ArmSoM CM1 specifications: SoC – Rockchip RK3506J CPU 3x Arm Cortex-A7 cores up to 1.5 GHz Arm Cortex-M0 real-time core GPU – 2D GPU only No VPU, no NPU System Memory – 256MB or 512MB DDR3L Storage 256MB or 512MB SPI NAND flash MicroSD card slot Display Interface – 2-lane MIPI DSI connector up to 1280 x 1280 @ 60FPS USB […]

August 11, 2025August 11, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Supermicro ARS-E103-JONX-H2 fanless Arm embedded system is powered by NVIDIA Jetson Orin NX

Supermicro Arm embedded system edge ai server

Supermicro is better known for its x86 servers, and they have already produced higher-end Arm-based servers like the Ampere-based MegaDC product line, but no compact Arm servers so far. The ARS-E103-JONX-H2 embedded system, featuring an 8-core Arm CPU, four gigabit Ethernet ports, and a 10GbE RJ45 port, is almost that, but not quite. Instead, it’s another NVIDIA Jetson Orin NX-powered fanless embedded PC for imaging, industrial automation, digital signage, retail, healthcare, and other Edge AI applications. It also features three M.2 sockets for storage, wireless, and cellular connectivity, an HDMI 2.0 video output, four USB 3.2 ports, two RS232/RS485 connectors, and a terminal block with digital inputs and outputs. Supermicro ARS-E103-JONX-H2 specifications: System-on-Module – NVIDIA Jetson Orin NX CPU – 8-core Arm Cortex-A78AE processor GPU – 1024-core NVIDIA Ampere GPU with 32 Tensor Cores System Memory – Up to 16GB RAM AI Performance – Up to 157 TOPS in “Super” […]

August 11, 2025August 11, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

$70+ Raspberry Pi CM5 5G Router expansion board offers five GbE ports, supports up to four 4G LTE modems

Mcuzone’s CM5 5G Router expansion board is a carrier board for the Raspberry Pi CM5, designed to offer a complete router/gateway solution with WiFi 5 and Bluetooth 5.0, five gigabit Ethernet ports, an M.2 socket for a 5G module, support for up to four 4G LTE modems, and SMA connectors for four external antennas. The board also features HDMI 2.0 video output, a MIPI DSI/CSI display or camera connector, a microSD card slot, one USB 3.0 port, two USB 2.0 ports, two USB-C ports, and a 40-pin GPIO header. An optional metal enclosure can also be provided if needed. Mcuzone CM5 5G Router expansion board specifications: Supported SoM – Raspberry Pi CM5 with SoC Broadcom BCM2712 quad-core Cortex-A76 SoC, up to 16GB RAM, up to 64GB eMMC flash, optional WiFi 5 and Bluetooth 5.0 module; other CM5 compatible CPU modules might also work. Storage – MicroSD card slot; note: Version R1.2 […]

August 5, 2025August 5, 2025 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Argon ONE UP – A Raspberry Pi CM5-powered 14-inch laptop (Crowdfunding)

Argon 40 is better known for its Argon ONE Raspberry Pi enclosures, but the company has now launched a crowdfunding campaign for the Argon ONE UP 14-inch laptop powered by the Raspberry Pi CM5 module. We’ve already covered a range of Raspberry Pi 4/5 laptops, but existing models are either rather thick or the Raspberry Pi 5 is placed on the side of a laptop shell, not ideal for portability. The Argon ONE UP looks like a proper laptop, as thin as a typical consumer laptop, while keeping Raspberry Pi features such as access to the GPIO pins. The description is rather garbage, like on all recent Kickstarter campaigns we’ve covered, with low-resolution GIF animations and text in photos (instead of actual text), but I did my best to reconstruct the Argon ONE UP specifications: SoM – Raspberry Pi CM5 (included or BYO) SoC – Broadcom BCM2712 CPU – Quad-core […]

August 5, 2025August 6, 2025 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Sipeed NanoCluster palm-sized cluster board takes up to 7 system-on-modules

Sipeed NanoCluster is a palm-sized cluster board with seven slots for Raspberry Pi CM4/CM5, Sipeed LM3H (Allwinner H618), and/or Sipeed M4N (AXera AX650N AI SoC) system-on-modules, and other compatible SoMs might also work. The board handles inter-module communication through an 8-port RISC-V-based Gigabit switch, and supports up to 60W USB-C PD or PoE (optional) power. The NanoCluster also offers independent UART and power control for each module, and is suitable as an entry-level/educational platform for HomeLab users working with distributed computing, Kubernetes, Docker, and edge computing. Sipeed NanoCluster specifications: Supported SOMs Raspberry Pi CM4 – Broadcom BCM2711 quad-core Cortex-A72 SoC @ 1.5 GHz with VideoCore VI GPU, 1GB to 8GB RAM, up to 64GB eMMC flash (optional) Raspberry Pi CM5 – Broadcom BCM2712 quad-core Cortex-A76 SoC @ 2.4 GHz with VideoCore VII GPU, 1GB to 16GB RAM, up to 64GB eMMC flash (optional) Sipeed LM3H – Allwinner H618 quad-core Cortex-A53 […]