Ubuntu 24.04.2 has just been released with Linux 6.11 kernel and hardware enablement (HWE) stack. I would typically not care too much about a point release, but our reviews of mini PCs have shown Ubuntu 24.04 with Linux 6.8 was not always well supported with recent mini PC, mostly due to issues with WiFi or Bluetooth, but sometimes it’s even worse. The most common problem I encountered was that MediaTek MT7922-based WiFi 6 and Bluetooth 5.3 module would not support Bluetooth on Ubuntu 24.04 unless we updated the Linux kernel to version 6.10 or newer. Mini PCs with recent processors like the Khadas Mind 2 AI Maker Kit based on Intel Core Ultra 7 258V AI SoC required even more tweaks for HDMI audio, GPU, and WiFi + Bluetooth which is why I tested it with Ubuntu 24.10 instead. Ubuntu 24.04.2 should solve all of those issues. The announcement explains […]
KiCad 9 released with support for embedded files, tables in schematics, custom ERC/DRC errors, mouse scroll wheel actions, and more
KiCad 9 open-source EDA software has just been released with a range of new features such as support for embedded files (fonts, 3D files, PDF), tables in schematics, custom ERC/DRC errors, warnings, and exclusion comments, mouse scroll wheel actions, multiple track drag, and much more. The latest KiCad 9.0.0 release includes 4,870 unique commits from hundreds of developers and translators, and the KiCad library has further gained 1500 new symbols, 750 new footprints, and 132 new 3D models. There are way too many changes to list them all here, so I’ll mention some highlights here: Jobsets (predefined output jobs) – Feature that provides predefined sets of ‘jobs’— plotting, exporting, and running DRC—on schematics and PCBs. Independent jobset files are reusable as users may want to create output pipelines that they can apply across their projects for consistency. Jobsets can be run from the command line or the KiCad GUI. Embedded […]
Femtofox Pro v1 LoRa and Meshtastic development board runs Linux-based Foxbuntu OS on Rockchip RV1103 SoC
The Femtofox Pro v1 kit is a compact, low-power LoRa and Meshtastic development board running Linux specially designed for Meshtastic networks. Built around the Luckfox Pico Mini (Rockchip RV1103) SBC, this compact development platform supports USB host/device functionality, Ethernet, WiFi over USB, GPIO interfaces, I2C, UART, and a real-time clock (RTC). The most unique feature of this board is that it operates at very low power (0.27-0.4W), making it ideal for solar-powered applications. Additionally, Femtofox supports native Meshtastic client control, USB mass storage, and network reconfiguration via a USB flash drive. It also includes user-configurable buttons for WiFi toggling and system reboot, enhancing its usability. These features make Femtofox particularly useful for applications such as emergency response and off-grid messaging. Femtofox Pro v1 kit specifications Mainboard – Luckfox Pico Mini A SoC – Rockchip RV1103 SoC CPU – Arm Cortex-A7 processor @ 1.2GHz + RISC-V core Memory – 64MB DDR2 […]
Vaaman reconfigurable edge computer features Rockchip RK3399 SoC and Efinix Trion T120 FPGA (Crowdfunding)
Vaaman is a reconfigurable single-board edge computer that integrates a Rockchip RK3399 hexa-core ARM processor with an Efinix Trion T120 FPGA, offering a reconfigurable platform for edge computing applications. The board combines the flexibility of an FPGA with the raw power of a hard processor to create a system capable of adapting to varying computational demands in real time. The compact SBC features the Rockchip RK3399 hexa-core processor with two Cortex-A72 cores and four Cortex-A53 cores, as well as an Efinix Trion T120 FPGA with 112,128 logic elements, interlinked with RK3399 via a high-speed 300Mbps bridge (but it’s unclear how this is implemented). It is billed as a “Raspberry Pi-style board for the FPGA world” that can be used for cryptographic acceleration, software-defined radio (SDR), digital signal processing, real-time robotics, real-time video processing, edge AI deployments, industrial automation, and hardware prototyping. It features a 40-pin Raspberry Pi-compatible GPIO header and […]
exo software – A distributed LLM solution running on a cluster of computers, smartphones, or SBCs
You’d typically need hardware with a large amount of memory and bandwidth and multiple GPUs, if you want to run the latest large language models (LLMs), such as DeepSeek R1 with 671 billion parameters. But such hardware is not affordable or even available to most people, and the Exo software works around that as a distributed LLM solution working on a cluster of computers with or without NVIDIA GPUs, smartphones, and/or single board computers like Raspberry Pi boards. In some ways, exo works like distcc when compiling C programs over a build farm, but targets AI workloads such as LLMs instead. Key features of Exo software: Support for LLaMA (MLX and tinygrad), Mistral, LlaVA, Qwen, and Deepseek. Dynamic Model Partitioning – The solution splits up models based on the current network topology and device resources available in order to run larger models than you would be able to on any […]
GEEKOM A6 Review – Part 3: Ubuntu 24.04 tested on an AMD Ryzen 7 6800H mini PC
We’ve already checked out the hardware of the GEEKOM A6 mini PC with an unboxing and teardown in the first part of the review, and thoroughly tested the AMD Ryzen 7 6800H mini PC in Windows 11 Pro in the second part, so it’s now time to report our experience with Ubuntu 24.04 Linux on the mid-range mini PC. We’ve gone through features testing, system benchmarks, storage (SSD and USB) performance tests, 2.5GbE and WiFi 6 network evaluation, 4K and 8K YouTube video playback, a stress test to check out the cooling ability of the mini PC, and finally fan noise and power consumption measurements. Ubuntu 24.04 installation and system information Since we wanted to install Ubuntu 24.04.1 LTS alongside Windows 11 Pro, we resized the partition by roughly half. But since the C: drive was “BitLocker Encrypted”, we knew Ubuntu installation wouldn’t be successful that way, so we went to […]
Orange Pi AIPro (8T) SBC features a 8 TOPS Huawei Ascend AI SoC, runs Ubuntu or openEuler
Orange Pi AIPro (8T) is a new single board computer for AI applications that features an unnamed Huawei Ascend AI quad-core 64-bit processor delivering up to 8 TOPS (INT8) of AI inference performance, although there’s also a 20 TOPS (INT8) variant of the SoC. The SBC comes with up to 16GB LPDDR4X and a 32MB SPI flash but also supports other storage options such as a microSD card, an eMMC flash module, and/or an M.2 NVMe or SATA SSD. The board also features two HDMI 2.0 ports, one MIPI DSI connector, a 3.5mm audio jack, two MIPI CSI camera interfaces, Gigabit Ethernet and WiFi 5 connectivity, a few USB ports, and a 40-pin GPIO header for expansion. Orange Pi AIPro specifications: SoC – Huawei Ascend quad-core 64-bit processor delivering up to 8 TOPS (INT8) AI performance and equipped with an unnamed 3D GPU; Likely Ascend 310B with Arm Cortex-A76 equivalent […]
Mekotronics R58-PTZ video surveillance/live streaming embedded computer features a PTZ camera, two HDMI input ports
I swear it’s not an AI-generated picture of a device, but the Mekotronics R58-PTZ is real and just another unusual Rockchip RK3588 hardware platform from the company that’s an embedded computer with a 3-inch display on the front panel and a PTZ (Pan-Tilt-Zoom) camera placed on top. Mekotronics describes it as a live-streaming box designed for video surveillance, so I assume its main use case is to leverage to built-in 6 TOPS NPU for live streaming with some real-time effect and/or surveillance applications detecting persons, masks, etc… especially it also offers two HDMI inputs for extra cameras. Mekotronics R58-PTZ specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x CortexA76 cores @ up to 2.4 GHz, 4x CortexA55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2 Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 […]