Building a NanoPi M4V2 based All-in-One Linux PC running Armbian (Ubuntu/Debian)

Armbian Ubuntu All-in-One PC

At the end of my review of “RPI All-in-One” PC with Raspberry Pi 4, I noted the system also appeared to be compatible with NanoPi M4V2 single board computer. I’ve now tried it out, and assembling the board inside the 10.1-inch display is even easier than I initially thought. That means I now have a NanoPi M4V2 All-in-One PC running Ubuntu Hirsute or Debian Buster with XFCE desktop environment from Armbian, and most features work including the display and wireless connectivity, but I still have an issue with the touchscreen function. Here are the steps I followed initially: Download Armbian Buster XFCE image from Armbian and flash it to a microSD card with tools like USBimager. Insert the microSD card in the board Install the USB Type-C and HDMI-A adapters in the display. Insert the USB Type-C and HDMI port of the NanoPi M4V2 SBC into the adapters Install the […]

MOREFINE M6 – An ultra-thin Jasper Lake mini PC (Crowdfunding)

MOREFINE M6

We’ve seen a fair amount of Jasper Lake mini PCs, and even reviewed one with Beelink U59. MOREFINE M6 stands out due to its size and thickness, being about the size of two smartphones stacked together. The features are also promising with an Intel Celeron N5105 quad-core processor coupled with up to 16 GB RAM, up to 1TB M.2 NVMe SSD, as well as dual 4K video output through HDMI and USB-C ports, a 2.5GbE ports WiFi 6 & Bluetooth 5.2 connectivity, and three USB 3.1 ports. MOREFINE M6 specifications: SoC – Intel Celeron N5105 quad-core Jasper Lake processor @ 2.0GHz / 2.9GHz (Turbo) with Intel UHD graphics 605; 10W TDP System Memory – 8GB or 16GB LPDDR4 Storage – 512GB or 1TB M.2 NVMe 2280 SSD, or 256GB M.2 SATA SSD Video Output 1x HDMI 2.0 port up to 4Kp60 1x DisplayPort Alt Mode via USB-C port up to […]

Graperain Samsung, Rockchip, and Qualcomm CPU modules, SBCs, and carrier boards

Radxa E25 carrier board, 2.5GbE switch, and WiFi 6 router

Radxa E25 2.5GbE switch-Xiaomi AX6000 WiFi 6 router

I’ve just received an early sample of Radxa E25 dual 2.5 GbE carrier board for Radxa CM3 Plus (RK3568) system-on-module, a 2.5GbE TP-Link switch, and Xiaomi AX6000 WiFi 6 + 2.5GbE router. Here’s the back story before looking into the devices. I’ll soon have to review UP Xtreme i11 mini PC with a 2.5GbE port, and after writing about the upcoming ROCK5 Model B SBC with both 2.5GbE and WiFI 6/6E, I realized I should really get some hardware to test 2.5GHz and WiFi 6. So I started to ask what could be the best options for a $200 budget. While thinking about it, I remember Radxa was working on the Radxa E23 board with 2.5GbE, and adding a WiFi 6 USB dongle might be an option. But they told me Radxa E25 would be a better option with two 2.5GbE ports and support for WiFi 6, although that one […]

$499 BrainChip AKD1000 PCIe board enables AI inference and training at the edge

Brainchip AKD1000 mini PCIe board

BrainChip has announced the availability of the Akida AKD1000 (mini) PCIe boards based on the company’s neuromorphic processor of the same name and relying on spiking neural networks (SNN) which to deliver real-time inference in a way that is much more efficient than “traditional” AI chips based on CNN (convolutional neural network) technology. The mini PCIe card was previously found in development kits based on Raspberry Pi or an Intel (x86) mini PC to let partners, large enterprises, and OEMs evaluate the Akida AKD1000 chip. The news is today is simply that the card can easily be purchased in single units or quantities for integration into third-party products. BrainChip AKD1000 PCIe card specifications: AI accelerator – Akida AKD1000 with Arm Cortex-M4 real-time core @ 300MHz System Memory – 256Mbit x 16 bytes LPDDR4 SDRAM @ 2400MT/s Storage – Quad SPI 128Mb NOR flash @ 12.5MHz Host interface – 5GT/s PCI […]

Bluetooth LE 5.0 module enables batteryless sensors thanks to Renesas RE01B MCU

RELOC RM-BE1 BLE 5.0 module energy harvesting

RELOC RM-BE1 Bluetooth 5.0 module with embedded energy harvesting capabilities for batteryless sensors adds to the list of energy harvesting news we’ve written about since the beginning of the year, with UEI chip for remote controls, a devkit with a smart coffee cup,  and Atmosic ATM33 BLE 5.3 chip. The RM-BE1 module is powered by Renesas RE01B Arm Cortex-M0+ Bluetooth microcontroller that leverages Renesas’ SOTB (Silicon on Thin Buried Oxide) process technology enabling ultra-low power. We’ve been told the chip can run at 35uA/Mhz with internal LDOs and <20uA/Mhz with additional external DCDCs, as well as around 600nA in standby mode. RELOC RM-BE1 module key features and specifications: MCU – Renesas RE01B Arm Cortex-M0+ microcontroller @ 64 MHz with 1.5MB flash, 256KB SRAM Connectivity Bluetooth LE 5.0 with Long Range (up to 400 m) and high data throughput (2 Mbps) support RF output power – Up to +4 dBm Receiver […]

WCH CH32V307 RISC-V development board features 8 UART ports controlled over Ethernet

CH32V307 RISC-V development board 8x UART

CH32V307V-EVT-R1 is a development board based on WCH CH32V307 RISC-V microcontroller with an Ethernet port, an USB Type-C port, and eight UART interfaces accessible through headers. As we noted in our article about CH583 Bluetooth 5.3 RISC-V microcontroller, WCH (Jiangsu Qin Heng) has started to share resources like datasheets and code samples through Github. They’ve done the same again for CH32V307 with schematics (PDF only), a datasheet in English, and firmware either bare metal or based on RT-Thread OS to control the eight serial interfaces over Ethernet. Let’s check CH32V305 and CH32V307 MCU specifications first: MCU core – WCH designed RISC-V4F 32-bit RISC-V core up to 144MHz FPU – Single-cycle multiplication and hardware division, hardware float point unit (FPU) ; Memory – Up to 64KB SRAM Storage – Up to 256KB Flash Networking – Gigabit Ethernet MAC, 10 Mbps PHY USB – 1x USB 2.0 OTG full-speed interface,  1x USB […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

MECOOL HomePlus – A 2-in-1 smart speaker and 4K TV box with DVB Tuner

MECOOL KA1

We’ve reviewed MECOOL devices in the past, such as their hybrid set-top boxes with DVB-T2 and/or DVB-S2 tuners. But MECOOL HomePlus (aka MECOOL KA1) packs even more features as it serves as both a 4K Android set-top box with a DVB tuner and a smart speaker compatible with Google Assitant. Based on Amlogic S905X4 Arm Cortex-A55 processor, and equipped with 4GB RAM and 32GB storage, MECOOL HomePlus runs a Google-certified Android TV 11 OS with far-field voice and hands-free TV control. MECOOL HomePlus (KA1) specifications: SoC – Amlogic S905X4 quad-core Arm Cortex-A55 processor with Arm G31 MP2 GPU RAM – 4GB LPDDR4 Storage – 32GB eMMC flash Video Output – HDMI 2.1 port with HDCP 2.2 Video Codes – 4K AV1, VP9, H.265, H.264 Audio Built-in two linear microphone array 2x 5W RMS speakers Tuner – RF antenna input for DVB T/T2/C tuner (optional) Connectivity 10/100M Ethernet RJ45 port Dual-band […]

Atmosic ATM33 – A Bluetooth LE 5.3 Cortex-M33 MCU with energy harvesting capabilities

ATM33e energy harvesting evaluation board

Atmosic ATM33 is a Bluetooth LE 5.3 compliant Cortex-M33 microcontroller with optional energy harvesting capabilities that can enable up to 5x longer battery life and even battery-free solutions. The 64 MHz MCU also comes with 64 KB ROM, 128 KB RAM, 512 KB non-volatile memory, hardware security features, and SensorHub hardware block that allows data to be managed while the majority of the SoC, including the MCU core, is in a hibernated state. Atmosic ATM33 specifications: MCU core – Arm Cortex M33F core @ 64 MHz Memory/Storage 64 KB ROM, 128 KB RAM, 512 KB NVM Retention RAM configuration: 16 KB to 128KB in 16 KB step sizes Wireless Connectivity Bluetooth Low-Energy 5.3 compliant 2 Mbps, 1 Mbps 500 kbps, and 125 kbps PHY rates Supports Bluetooth Angle-of-Arrival (AoA) and Angle-of-Departure (AoD) direction finding Tx: 0 to 10dB 0.7mA receiver 16 MHz / Optional 32.768 kHz Crystal Oscillator Atmosic SensorHub […]

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