Zimaboard 2 – An Intel N150 micro server and mini PC with dual SATA, dual 2.5GbE, PCIe slot, miniDP (Crowdfunding)

ZImaboard 2

ZimaBoard 2 is a compact Intel Processor N150 “Twin Lake” mini PC and micro server with two 2.5Gbps Ethernet ports, two SATA ports, two USB 3.1 ports, and a 4K-capable miniDP video output. It built upon the company’s ZimaBoard introduced in 2021 with an Apollo Lake processor, but offers a much faster Intel N150 CPU, LPDDR5x memory, 2.5GbE networking instead of gigabit Ethernet, and a PCIe Gen 3.0 x4 slot as opposed to a PCIe Gen 2.0 x4 slot. Two variants are offered: one with 8GB RAM and 32GB eMMC flash and the other in a 16GB/64GB configuration. Zimaboard 2 specifications: SoC – Intel Processor N150 quad-core “Twin Lake” processor  @ up to 3.6 GHz (Turbo) with 6MB cache, 24EU Intel UHD graphics @ 1000 MHz; PBP: 6W (but set to 10W here) System Memory and Storage ZimaBoard 2 832 – 8GB LPDDR5X 4800MHz; 32GB eMMC flash ZimaBoard 2 1664 […]

Radxa Dragon Q6A – A Qualcomm QCS6490 Edge AI SBC with GbE, WiFi 6, three camera connectors

Radxa Dragon Q6A

Radxa Dragon Q6A is an upcoming credit card-sized SBC powered by a Qualcomm QCS6490 octa-core SoC with a 12 TOPS AI accelerator, up to 16GB LPDDR5 memory, and the usual ports found on Raspberry Pi-like single board computers such as gigabit Ethernet, four USB ports, HDMI video output, and a 40-pin GPIO header. The board will also feature an M.2 Key-M socket for SSD storage, a WiFi 6 and Bluetooth 5.4 wireless module, a MIPI DSI display interface, three MIPI CSI connectors, a connector for an eMMC or UFS flash module, a microphone input connector, and an RTC battery connector. Radxa Dragon Q6A specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL […]

STMicro STM32MP23 Cortex-A35/M33 MPU features a 600 GOPS NPU for industrial IoT and ML applications

STM32MP235 block diagram

STMicroelectronics STM32MP23 is a dual-core Cortex-A35 general-purpose microprocessor (MPU) with a Cortex-M33 real-time core, and 600 GOPS of performance operating at up to 125°C and designed for industrial and Internet-of-Things (IoT) edge computing, advanced HMI, and machine-learning (ML) applications. It follows the STM32MP25 series unveiled in 2023 and launched the following year as the first member of the STM32MP2 family. The STM32MP23 is a cost-down version of the STM32MP25 with similar specifications (and pin-to-pin compatible packages), but the new family has a weaker 0.6 TOPS NPU, and tops at two Ethernet ports for the high-end parts instead of three. Ditto for CAN Bus interfaces (2x vs 3x). Other changes include a 16-bit memory interface and the lack of PCIe and USB 3.0 interfaces. STM32MP23 specifications: CPU – Single or dual Arm Cortex-A35 cores running at up to 1.5 GHz or 1.2 GHz with 512KB L2 cache Real-time MCU – Arm […]

Beacon W5+ SoM – A tiny (27x15mm) Qualcomm Snapdragon W5+ System-on-Module for wearables

Tiny Snapdragon W5+ System-on-Module

Beacon EmbeddedWorks’ W5+ SoM is an ultra-compact (27×15 mm) system-on-module powered by the Qualcomm Snapdragon W5+ platform for wearables with a quad-core Cortex-A53 processor, a co-processor with an Arm Cortex-M55 core and an Ethos U55 ML accelerator, and WiFi 4 and Bluetooth 5.3 connectivity. The Snapdragon W5/W5+ wearables platforms were introduced in the summer of 2022, but so far, all I could find was a $2,000 devkit (TurboX W5+) suitable for ODM/OEM manufacturers. The upcoming Beacon W5+ SoM will be one of the first hardware solutions based on the Snapdragon W5+ platform designed for commercial applications. Beacon W5+ specifications: Platform – Snapragon W5+ SW5100P-0 SoC CPU – Quad-core Cortex-A53 processor @ up to 1.7 GHz GPU – Qualcomm Adreno A702 @ up to 1,010 MHz with OpenGL ES 3.1, Vulkan 1.0, OpenCL 2.0 API support DSP – Dual Qualcomm Hexagon DSP V66K ISP – Dual ISP VPU 1080p30 Video Decode […]

Geniatech APC680 Edge AI and TV Box is powered by Synaptics VS680 AI SoC with 7.9 TOPS NPU

Geniatech APC680

Geniatech APC680 is described as an “AI-powered TV box” powered by Synaptics VS680 quad-core Cortex-A73 SoC with a built-in 7.9 TOPS NPU and designed for smart entertainment and edge computing. The system comes with 4GB RAM and 16GB eMMC flash by default, 4K capable HDMI output and input ports, gigabit Ethernet, WiFi 5 and Bluetooth 5.0,  a few USB ports, and a range of wireless options including 4G LTE, Zigbee, Z-Wave, and LoRa. Besides being just an AI-powered TV box, it could also be used as a Smart Home gateway in more ways than one. Geniatech APC680 specifications: SoC – Synaptics VS680 CPU – Quad-Core Arm Cortex-A73 processor GPU – Imagination PowerVR Series9XE GE9920 with support for OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.1, and DirectFB VPU Up to 2160p60 decode with AV1, H.265, H.264, VP9, VP8, and MPEG-2 Up to 1080p60 encode with H.264, VP8 NPU – 7.9 TOPS with […]

Radxa CM3J industrial-grade Rockchip RK3568J SoM is compatible with Raspberry Pi Compute Module 4

Radxa CM3J

Radxa CM3J is a Raspberry Pi Compute Module 4 compatible SoM powered by a Rockchip RK3568J industrial-grade quad-core Cortex-A55 SoC and equipped with up to 8GB LPDDR4x and up to 256GB eMMC flash. It’s an update to the Radxa CM3 based on the Rockchip RK3566 SoC with an industrial temperature range and only two board-to-board connectors, and can also be viewed as a cost-down version of the Radxa CM3i with RK3568 and four B2B connectors. It competes directly against the industrial-grade Raspberry Pi Compute Module 4 introduced at the beginning of this month. Radxa CM3J specifications compared to the Radxa CM3 and Raspberry Pi CM4: The Radxa CM3J has been tested with the official Raspberry Pi CM4 IO Board, WaveShare CM4‑POE‑UPS‑BASE, WaveShare CM4‑IO‑BASE‑B, and WaveShare CM4‑NANO‑B, but other carrier boards for the Compute Module 4 may also be supported. Like with other such modules, there’s no 100% pin compatibility with […]

MediaTek Genio 720 and 520 AIoT SoCs target generative AI applications with 10 TOPS AI accelerator

MediaTek Genio 720 520

The announcement of the MediaTek Genio 720 and Genio 520 octa-core Cortex-A78/A55 AIoT SoCs is one of the news I missed at Embedded World 2025.  The new models appear to be updates to the Genio 700 and Genio 500 with a beefier NPU, and the Taiwanese company says the new Genio series supports generative AI models, human-machine interface (HMI), multimedia, and connectivity features for smart home, retail, industrial, and commercial IoT devices. Both are equipped with a 10 TOPS NPU/AI accelerator for transformer and convolutional neural network (CNN) models and support up to 16GB of LPDDR5 memory to handle “edge-optimized” (i.e. quantized) large language models (LLMs) such as Llama, Gemini, Phi, and DeepSeek, and other generative AI tasks. MediaTek Genio 720 and Genio 520 specifications: Octa-core CPU Genio 520 2x Arm Cortex-A78 up to 2.2 GHz (Commercial) or 2.0 GHz (Industrial) 6x Arm Cortex-A55 up to 2.0 GHz (Commercial) or […]

Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

VAR SOM AM62P development kit

Variscite VAR-SOM-AM62P is a system-on-module powered by Texas Instruments Sitara AM62P5 quad-core Cortex-A53 + Cortex-R5F SoC coupled with up to 8GB LPDDR4 RAM and 128GB eMMC flash, and designed for cost-effective multimedia applications. The SO-DIMM module offers high speed interfaces such as gigabit Ethernet and USB 2.0, a certified WiFi 6 and Bluetooth 5.4 module, and operating in the -40 to 85°C industrial range. As a VAR-SOM module, it’s pin-to-pin compatible with other modules from the family such as the VAR-SOM-6UL or VAR-SOM-IMX93. Variscite VAR-SOM-AM62P specifications: SoC – Texas Instruments Sitara AM62P5 CPU 4x Arm Cortex-A53 @ 1.4 GHz up to 12,880 DMIPS Arm Cortex-R5F real-time core up to @ 800 MHz GPU –  3D GPU with OpenGL ES 3.2 & Vulkan1.2 VPU – H.264/H.265 Video Encoder/Decoder No PRU System Memory – 1GB to 8GB LPDDR4 Storage – 8GB to 128GB eMMC flash Networking Gigabit Ethernet PHY (Analog Devices ADIN1300) […]

Youyeetoo X1 x86 SBC