SupTronic Raspberry Pi 5 18650 Battery UPS HAT
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SupTronics Raspberry Pi 5 UPS HAT X1202 V1.1 takes four 18650 batteries delivering up to 25W

For the tinkerers and DIYers out there, keeping a Raspberry Pi project running reliably, day in and day out, especially when the power is out is crucial, and previously Raspberry Pi UPS solutions have been available for years with products like Pascal Herczog’s Red Reactor, PiJuice Zero, PiVoyager, or LiFePO4wered/Pi+ and many others. But the problem with all these old solutions is that they cannot handle the power requirements of the new Raspberry Pi 5, especially when the PCIe is active and other peripherals are attached to it.  This is where the SupTronics Raspberry Pi 5 UPS HAT comes in. This new SupTronics X1202 V1.1 UPS Shield includes four 18650 batteries and can deliver 5V with a higher current output of up to 5A, or 25W of power. Additionally, it includes automatic power switching and battery level detection via I2C, an integrated fuel-gauge system, battery protection mechanisms, and fast charging support, making […]

STMicro wireless charging boards
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50W high-power wireless charging boards target industrial, medical, and smart home applications

STMicro has introduced a combo of 50W wireless charging transmitter and receiver boards, namely the STEVAL-WBC2TX50 transmitter board and the STEVAL-WLC98RX receiver board, for the development of high-power wireless charging solutions such as medical and industrial equipment, home appliances, and computer peripherals. The transmitter board, based on the STWBC2-HP transmitter system-in-package (SiP), supports up to 50W of output power using the STMicro’s proprietary Super Charge (STSC) protocol, as well as the Qi 1.3 5W Baseline Power Profile (BPP) and 15W Extended Power Profile (EPP). The receiver board, based on the STWLC98 wireless power receiver IC, can handle up to 50W charging power through STSC, supports Qi BPP and EPP charging, and implements features such as Adaptive Rectifier Configuration (ARC) to extend charging distance by up to 50% and accurate voltage and current measurement for Foreign Object Detection (FOD). STEVAL-WBC2TX50 transmitter board highlights: STWBC2-HP wireless power transmitter chip MCU – STM32G071 […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
SAKURA-II M.2 and PCIe Edge AI accelerators
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EdgeCortix SAKURA-II Edge AI accelerator deliver up to 60 TOPS in an 8W power envelope

EdgeCortix has just announced its SAKURA-II Edge AI accelerator with its second-generation Dynamic Neural Accelerator (DNA) architecture delivering up to 60 TOPS (INT8) in an 8Watts power envelope and suitable to run complex generative AI tasks such as Large Language Models (LLMs), Large Vision Models (LVMs), and multi-modal transformer-based applications at the edge. Besides the AI accelerator itself, the company designed a range of M.2 modules and PCIe cards with one or two SAKURA-II chips delivering up to 120 TOPS with INT8, 60 TFLOPS with BF16 to enable generative AI in legacy hardware with a spare M.2 2280 socket or PCIe x8/x16 slot. SAKURA-II Edge AI accelerator SAKURA-II key specifications: Neural Processing Engine – DNA-II second-generation Dynamic Neural Accelerator (DNA) architecture Performance 60 TOPS (INT8) 30 TFLOPS (BF16) DRAM – Dual 64-bit LPDDR4x (8GB,16GB, or 32GB on board) DRAM Bandwidth – 68 GB/sec On-chip SRAM – 20MB Compute Efficiency – […]

BreadboardOS Raspberry Pi Pico
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BreadboardOS firmware for the Raspberry Pi RP2040 features a Linux-like terminal

Cavin McKinley’s BreadboardOS is an open-source firmware platform for the Raspberry Pi RP2040 MCU (for now) built around FreeRTOS and with a feature-packed CLI that reminds me of the Linux terminal.

The terminal implementation is based on a fork of the microshell project with some additional customization. It is organized into POSIX-style folders/files providing a familiar user interface for interacting with the hardware on the MCU.

BreadboardOS running on Raspberry Pi Pico board

BreadboardOS highlights:

FreeRTOS-based
Tools for checking system resources such as ps, top, free, and df commands
Interaction with chip I/O and serial buses from the terminal using commands such as cat and echo, for example, you can print the list of GPIOs with:

Quectel BG95-M3 Zero SBC with QuecPython MicroPython firmware
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Raspberry Pi Zero HAT compatible Quectel BG95-M3 Zero cellular IoT board runs QuecPython MicroPython firmware

Waveshare BG95-M3 Zero is a Raspberry Pi Zero-sized SBC based on Quectel BG95-M3 cellular IoT module with LTE Cat M1 (eMTC), LTE Cat NB2 (NB-IoT), and eGPRS connectivity as well as GNSS. The board supports Raspberry Pi HATs and ships with Quectel’s QuecPython MicroPython firmware for easier programming. We’ve previously covered various SBCs and Raspberry Pi HATs based on Quectel modules for cellular IoT and GNSS connectivity with the likes of Olimex NB-IoT-Devkit (with a BC66 module), S-2Connect Creo evaluation kit, Sixfab 5G Modem HAT, and others. Olimex BC66 board supports Arduino programming, but most of the other boards rely on a host processor. Waveshare’s BG95-M3 Zero is a standalone SBC offering compatibility with Raspberry Pi Zero (p)HATs, and Quectel also developed its own MicroPython firmware called QuecPython that works with several of their modules, including the BG95-M3. BG95-M3 Zero specifications: Cellular IoT Module – Quectel BG95-M3 CPU – Arm […]

AAEON RICO-3568 Pico-ITX Plus board
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AAEON RICO-3568 is a Pico-ITX Plus board powered by a Rockchip RK3568 SoC

AAEON RICO-3568 is a Pico-ITX Plus single board computer powered by a Rockchip RK3568 quad-core Cortex-A55 AI SoC, up to 8GB LPDDR4, 16GB eMMC flash, four display interfaces (HDMI, LVDS, eDP, MIPI DSI), gigabit Ethernet, and various expansion headers for industrial applications. Most have already heard about the Pico-ITX form factor, but it’s the first time I’ve ever come across a Pico-ITX Plus board. It looks like it’s an AAEON-specific “standard” right now, with the Pico-ITX Plus boards (100x80mm) being slightly wider than Pico-ITX SBCs (100x72mm). AAEON RICO-3568 specifications: SoC – Rockchip RK3568 CPU – Quad-core Cortex A55 processor at up to 2.0 GHz GPU – Mali G52 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1 VPU 4Kp60 H.264, H.265, VP9, 1080p60 MPEG-4/-2/-1, VP8, and VC1 video decoder 1080p60 H.264/H.265 video encoder AI accelerator – 0.8 TOPS NPU System Memory – 2GB, 4GB, and 8GB LPDDR4 Storage […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Car Base Board Mounted PCB chassis
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Easily build a robot car with the Car Base Board for the STM32F411 “Black Pill” board

The Car Base Board from Applying Microcontroller Solutions is a modular platform for building robot car projects powered by the WeAct Studio Black Pill development board. The Black Pill board is an upgrade to the “Blue Pill 2” board and features the STM32F411CEU6 microcontroller running at 100MHz with 512 KB of flash memory, 128 KB SRAM, and a USB Type-C port for power and programming. The Care Base Board printed circuit board is a base controller that takes hardware expansions such as wireless modules, servos, and sensors to monitor and control a robot car. The onboard headers provide a straightforward way to wire these connections and help prevent a tangled mess (rat’s nest) of wires. The PCB’s design makes it easy to use widely-available, “generic” devices and boards in development and to power all of them with batteries. It also allows the developer to select their favorite wireless communication device. […]

MemryX MX3 EVB
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MemryX MX3 edge AI accelerator delivers up to 5 TOPS, is offered in die, package, and M.2 and mPCIe modules

Jean-Luc noted the MemryX MX3 edge AI accelerator module while covering the DeGirum ORCA M.2 and USB Edge AI accelerators last month, so today, we’ll have a look at this AI chip and corresponding modules that run computer vision neural networks using common frameworks such as TensorFlow, TensorFlow Lite, ONNX, PyTorch, and Keras. MemryX MX3 Specifications MemryX hasn’t disclosed much performance stats about this chip. All we know is it offers more than 5 TFLOPs. The listed specifications include: Bfloat16 activations Batch = 1 Weights: 4, 8, and 16-bit ~10M parameters stored on-die Host interfaces – PCIe Gen 3 I/O and/or USB 2.0/3.x Power consumption – ~1.0W 1-click compilation for the MX-SDK when mapping neural networks that have multiple layers Under the hood, the MX3 features MemryX Compute Engines (MCE) which are tightly coupled with at-memory computing. This design creates a native, proprietary dataflow architecture that utilizes up to 70% […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications