BIGTREETECH-CB1
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BIGTREETECH CB1 – A Raspberry Pi CM4 compatible Allwinner H616 system-on-module

The BIGTREETECH CB1 core board is an Allwinner H616 quad-core Arm Cortex-A53 system-on-module (SoM) that follows the Raspberry Pi CM4 form factor and was designed by BIGTREETECH, a company whose main business is related to 3D printer motherboards and their peripherals. The BIGTREETECH CB1 comes with 1GB RAM, an HDMI output interface, 2.4GHz WiFi, and 100Mbps Ethernet. The CB1 has better multimedia capability than the CM4 with support for 4Kp60 H.265/H.264 video decoding and 1080p60 H.264 video encoding, while the Broadcom BCM2711 processor on the CM4 can only handle 4Kp60 H.265 and 1080p60 H.264 video decoding, and 1080p30 H.264 video encoding. Some disadvantages include the lack of CSI and DSI interfaces on the Allwinner H616 system-on-module and the presence of only one video output interface against two for the Raspberry Pi CM4 module. BIGTREETECH CB1 specifications: SoC – Allwinner H616 quad-core Cortex-A53 @ 1.5GHz with Mali-G31 MP2 GPU with OpenGL 3.2, […]

Maker Pi Pico Mini
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Maker Pi Pico Mini adds battery, buzzer, GPIO LEDs to Raspberry Pi Pico (W)

Cytron’s Maker Pi Pico Mini is an add-on board for the Raspberry Pi Pico and the latest Raspberry Pi Pico W with a battery port, GPIO status LEDs, a WS2812B Neopixel RGB LED, passive piezo buzzer, user and reset button, as well as “Maker” ports for expansion. It comes with most of the features found in the company’s Maker Pi Pico board, but in a much more compact form factor, since the add-on board is only slightly larger than the Raspberry Pi Pico to allow for soldering using the castellated holes. Maker Pi Pico Mini specifications: Fitted with Raspberry Pi Pico / Pico W LEDs – 6x Status indicator LEDs for GPIOs, 1x RGB LED (WS2812B Neopixel) Audio – 1x Passive piezo buzzer (to play musical tones or melody) Buttons – Reset and user buttons Expansion 3x Maker ports compatible with Qwiic and STEMMA QT, as well as Grove modules […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
OnLogic IGN800 Ignition Edge Software
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OnLogic IGN800 Industrial Raspberry Pi Edge Gateway runs Ignition Edge software

OnLogic IGN800 is an industrial edge gateway based on the Raspberry Pi CM4 module pre-loaded with the Ignition Edge HMI, SCADA (Supervisory Control And Data Acquisition), MES, and IIoT software platform from Inductive Automation. The hardware is not exactly new, as the Onlogic IGN800 is simply the OnLogic Factor 201 industrial PC introduced earlier this year, but that ships with Ignition Edge in order to provide a cost-effective solution for automation projects. OnLogic IGN800 specifications: SoM – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Arm Cortex-A72 processor @ up to 1.5 GHz, up to 8GB LPDDR4 RAM, up to 32GB eMMC flash Additional storage – Optional M.2 SATA SSD (See Expansion section) Video Output – HDMI port up to 4Kp60 Networking 2x Gigabit Ethernet LAN (Optional PoE PD Input) via Realtek RTL8153 controller Optional WiFi/Bluetooth module on Raspberry Pi CM4 module + 3x antenna holes Optional 4G LTE wireless module […]

Allwinner H616 Raspberry Pi Model A SBC
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Yuzuki Chameleon – A Raspberry Pi Model A shaped SBC with Allwinner H616 CPU

Yuzuki Chameleon is an open-source hardware single board computer powered by an Allwinner H616 quad-core Cortex-A53 processor that somewhat follows the shape of Raspberry Pi 3 Model A+ SBC with a different port layout that should still keep mechanical and electrical compatibility with some Raspberry Pi HATs. The board supports up to 2GB RAM, up to 128GB eMMC flash, features a MicroSD card slot, one 4K-capable HDMI 2.0 port, an audio jack, four USB Type-C ports to keep the design as slim as possible, as well as a wireless module for WiFi and Bluetooth and a connector to optionally add Fast Ethernet through an external module. Yuzuki Chameleon specifications: SoC – Allwinner H616 quad-core Cortex-A53 processor @  with Arm Mali G31 GPU, 6Kp30/4Kp60 video decoder System Memory – Up to 2GB RAM Storage – Up to 128GB eMMC flash storage, MicroSD card socket Video Output – HDMI 2.0 up to […]

Beetle RP2040 Mini
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Beetle RP2040 is a tiny Raspberry Pi RP2040 board with easily solderable pads

DFRobot Beetle RP2040 joins other miniature Raspberry Pi RP2040 developments boards such as Pimoroni Tiny 2040 & Adafruit QT Py RP2040, but with only eight GPIOs accessible through larger pads that are easier to solder. The tiny 27 x 20 mm board comes with a USB Type-C port, BOOT and reset buttons, and twelves pads with a through hole each comprised of eight GPIOs, plus VCC, 3.3V, and GNS pads. The Beetle RP2040 is designed to be embedded into small devices or projects, and the company selected I/Os that can be configured as I2C, UART, SPI, GPIOs, analog input, etc… Beetle RP2040 specifications: MCU – Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller@ up to 133Mhz with 264kB of SRAM Storage – 2MB QSPI flash USB – USB 1.1 Type-C port for power, data, and programming I/Os 12x golden pads with through hole for 8x I/Os pins enabling up to 2x I2C, […]

ModBerry M500 R1
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ModBerry 500 R1 industrial computer replaces Raspberry Pi CM4 with Radxa CM3 module

The ModBerry 500 R1 industrial computer features a Radxa CM3 system-on-module that follows the Raspberry Pi CM4 form factor, but is powered by a Rockchip RK3566 quad-core Cortex-A55 processor instead. The ModBerry 500 CM4 DIN-rail industrial computer with a Raspberry Pi Compute Module 4 was launched in 2020, but the Raspberry Pi shortage got in the way, even for commercial customers, and Poland-based TECHBASE had to find an alternative to Raspberry Pi CM4 to offer shorter lead times to its customers, and so the ModBerry 500 R1 based on Radxa CM3 system-on-module was born. ModBerry 500 R1 specifications: SoM – Radxa CM3 module with Rockchip RK3566 quad-core Cortex-A55 processor @ up to 2.0 GHz, with 1 to 8GB LPDDR4 RAM, up to 4 to 128GB eMMC flash (up to 250 MB/s), optional Wi-Fi 5 & Bluetooth 5.0 module Storage – Optional NVMe SSD via PCIe 2.0 (mini PCIe (default) or […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Radxa CM5
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Radxa CM5 – A Rockchip RK3588S module (somewhat) compatible with Raspberry Pi CM4

Radxa has been working on the ROCK 5 Compute Module (aka Radxa CM5) system-on-module compatible with Raspberry Pi CM4, but based on the more powerful Rockchip RK3588S octa-core Cortex-A76/A55 SoC. Just like the Raspberry Pi Compute Module 4, it comes in a 55 x 40mm form factor, but instead of just two high-density 100-pin board-to-board connectors, the module includes three to cater for the additional I/Os from the Rockchip processor, just like they did for the Radxa CM3 equipped with a Rockchip RK3566 processor. Radxa CM5 specifications: SoC – Rockchip RK3588S octa-core processor with 4x Cortex‑A76  cores @ up to 2.4GHz, 4x Cortex‑A55 core @ 1.8GHz Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – 8Kp30 H.265/H.264 video encoder 6 TOPS NPU System Memory – 4GB, 8GB, or 16GB LPDDR4x‑4224 SDRAM Storage – Optional 8GB, […]

Mini-ITX cluster board 6x Raspberry Pi CM4
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DeskPi Super6C mini-ITX board takes up to 6x Raspberry Pi CM4 modules

You may remember the Turing Pi 2 mini-ITX cluster board that supports up to four Raspberry Pi CM4 modules. It now has some competition with the DeskPi Super6C board, still based on the mini-ITX form factor, and taking up to six Raspberry Pi CM4 modules. The Super6C offers a much slimmer design since the modules are inserted horizontally instead of vertically, plus each module comes with its own M.2 NVMe SSD socket besides a microSD card slot. The board also features two Gigabit Ethernet ports and two HDMI outputs, as well as four USB 2.0 ports. DeskPi Super6C specifications: SoM – 6x sockets for up Raspberry Pi Compute Module 4 Storage 6x M.2 PCIe Gen2 x1 2280 sockets, one per CM4 module 6x MicroSD card slots, one per CM4 module Video Output – 1x HDMI 2.0 output, 1x HDMI 1.4a output, both attached to the first Raspberry Pi CM4 module […]

Boardcon LGA3576 Rockchip RK3576 System-on-Module designed for AI and IoT applications