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VisionFive 2 Lite SBC Review – Ubuntu 24.04 on a low-cost RISC-V SBC in 2026
StarFive has sent me a sample of the VisionFive 2 Lite RISC-V SBC for review. It’s a low-cost credit card-sized board based on the StarFive JH7110S quad-core RISC-V SBC and designed to get started with Linux RISC-V on the cheap. When I first tested the earlier VisionFive 2 SBC with a StarFive JH7110 RISC-V SoC in February 2023, I didn’t call it a review, but rather a hands-on experience, since, at the time, many features still didn’t work properly. Almost three years have passed since then, so reviewing the VisionFive 2 Lite SBC with Ubuntu 24.04 will allow us to...
DFRobot HUSKYLENS 2 AI camera review – From built-in AI samples to training a custom model to detect elephants
Hello, today I am going to review the HUSKYLENS 2, released in October 2025. It is the next generation of HUSKYLENS, an AI vision sensor equipped with a Kendryte K230 dual-core RISC-V SoC with a 6 TOPS AI accelerator and a 2.4-inch IPS touchscreen. The device runs machine vision algorithms fully on-device, providing fast and low-latency performance, and includes more than 15 built-in AI models. HUSKYLENS 2 also supports deploying custom-trained models, including integration with Large Language Models (LLMs) via a Model Context Protocol (MCP) service. In addition, it is compatible with various microcontrollers, such as Arduino and Raspberry Pi,...
Conditions in the Intel 8087 floating-point chip's microcode
In the 1980s, if you wanted your computer to do floating-point calculations faster, you could buy the Intel 8087 floating-point coprocessor chip. Plugging it into your IBM PC would make operations up to 100 times faster, a big boost for spreadsheets and other number-crunching applications. The 8087 uses complicated algorithms to compute trigonometric, logarithmic, and exponential functions. These algorithms are implemented inside the chip in microcode. I'm part of a group that is reverse-engineering this microcode. In this post, I examine the 49 types of conditional tests that the 8087's microcode uses inside its algorithms. Some conditions are simple, such as checking if a number is zero or...
Add four Gigabit or 2.5Gbps Ethernet ports to the Raspberry Pi 5 with this expansion board
Waveshare PCIE TO 4-CH Gigabit/2.5G ETH Board (B) is a 4-port Gigabit or 2.5 Gbps Ethernet board designed for the Raspberry Pi 5. This board connects four RJ45 ports to the Pi’s 16-pin PCIe interface and also includes a mounting option for the Pi5 Connector Adapter (C). The only limiting factor is the Pi’s PCIe Gen2/Gen3 x1 interface, as the 2.5GbE ports share the available bandwidth and cannot operate at full speed simultaneously. The Gigabit Ethernet variant features Realtek RTL8153 USB to Ethernet controllers, while the 2.5GbE variant relies on RTL8156 controllers, and both integrate a VL805 PCIe to USB...
Rockchip RK1820/RK1828 SO-DIMM and M.2 LLM/VLM AI accelerator modules, devkits, and benchmarks
Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for 3B parameter models, and the RK1828 with 5GB RAM for 7B parameter models. A few months have passed, and we have a few more details since a development kit based on Rockchip RK1820/RK1828 SO-DIMM module is now available, some basic documentation has been released, and the RK1828 has been benchmarked against the Rockchip RK3588’s NPU. I was also told that M.2 modules are coming soon. Firefly RK182X 3D RAM Stacking Development Kit The “RK182X 3D RAM Stacking Development Kit” is based...
Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules
Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI...
(Updated) Orange Pi Previews Compact SBC with Eight-Core Allwinner A733 SoC
Orange Pi has unveiled the Orange Pi 4 Pro, a compact single-board computer designed for high-performance edge applications. It integrates an octa-core Allwinner A733 processor, a 3 TOPS NPU, and supports up to 16 GB of LPDDR5 memory, combining AI acceleration with a wide range of expansion interfaces. This SBC features the same SoC found […]
Linux-Ready SL1680 OPTIMA SoM Targets Embedded Systems with Synaptics SL1680
Calixto Systems has introduced the SL1680 OPTIMA, a compact SoM built around the Synaptics SL1680 processor and targeting edge AI, vision, and multimedia applications. The module is designed and manufactured in India and is offered alongside a dedicated evaluation board for development and prototyping. The SL1680 OPTIMA SoM integrates a quad-core Arm Cortex-A73 processor running […]
DietPi December 2025 Update Adds RustDesk Server, Improves SBC Support, and Fixes Storage Issues
The December 14, 2025 release of DietPi v9.20 introduces a new remote desktop server option, continued improvements for popular Arm-based single-board computers, and a broad set of fixes across DietPi tools and software packages. The update focuses on usability, stability, and hardware compatibility, particularly around USB, storage, and backup handling. DietPi: DietPi is a […]
Fanless MS-CF19 3.5-inch SBC Uses Intel Meteor Lake-U and Arrow Lake-U
The MS-CF19 is a 3.5-inch single-board computer designed for fanless embedded systems using Intel Core Ultra Series 1 (Meteor Lake-U) and Series 2 (Arrow Lake-U) processors. It supports DDR5 memory, up to four independent displays, dual Ethernet, and multiple M.2 expansion options in a compact form factor. Processor options include Core Ultra 5 and Core […]