Linux News - Page 46 of 534 - CNX Software

August 7, 2025August 8, 2025 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Qualcomm IPQ5322 embedded boards target WiFi 7 and 10GbE networking applications

There are already some consumer-grade WiFi 7 routers based on Qualcomm IPQ5322 SoC like Xiaomi Router BE6500 Pro and TP-Link Deco BE65, but if you plan on developing your own embedded solution, Compex and Wallys offer separate embedded boards based on the quad-core Cortex-A53 router processor with support for 10GbE, 2.5GbE, and up to tri-band WiFi 7. Compex AP.MI01.2 AP.MI01.2 specifications: SoC – Qualcomm IPQ5322 ‘Miami’ Series quad-core Arm Cortex-A53 processor @ 1.5GHz System Memory – 1GB, DDR4 16-bit (1×16-bit) interface Storage – 128MB NAND Flash, 4MB NOR Flash, 8GB eMMC flash Networking 4x 2.5Gbps Gigabit Ethernet RJ45 ports (note: the photo below shows 4x Gigabit Ethernet (1GbE) ports, but the rest of the documentation mentions 2.5GbE) 1x SFP+ receptacle (20 positions) Wireless On-board 2×2 2.4GHz MU-MIMO 802.11b/g/n/ax/be, max 25dBm per chain 2x U.FL connectors Frequency Range – 2.412~2.484 GHz Modulation – OFDMA: BPSK, QPSK, 16-QAM, 64-QAM, 256-QAM, 1024-QAM WiFi 7 […]

August 6, 2025 by Debashis Das - No Comments

MSI MS-C926 ultra-slim, fanless industrial box PC is just 19mm thick

MSI MS-C926 is an Intel Alder Lake-N/Twin Lake fanless industrial box PC that’s ultra-slim at just 19mm thick, making it suitable for space-constrained applications such as digital signage, industrial control, kiosks, and edge computing. This ultra-thin PC also features up to 16GB DDR5 memory, triple 4K display outputs, dual 2.5GbE, three USB 3.2 Gen 1 ports, and a COM port. Expansion options include an M.2 B-Key slot with Nano SIM support for cellular, an M.2 E-Key slot for Wi-Fi, and a 2.5-inch SATA drive bay. It also supports optional TPM 2.0, a wide 12–24V DC input, VESA/wall mounting, and operates between -10°C to 50°C. MSI MS-C926 Specifications Alder Lake-N / Twin Lake SoC (one or the other) Intel Processor N97 quad-core processor @ up to 3.6 GHz with 6MB cache, 24 EU Intel UHD graphics @ 1.20 GHz; TDP: 12W Intel Processor N150 quad-core processor @ up to 3.6 GHz with 6MB […]

August 5, 2025August 5, 2025 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Argon ONE UP – A Raspberry Pi CM5-powered 14-inch laptop (Crowdfunding)

Argon 40 is better known for its Argon ONE Raspberry Pi enclosures, but the company has now launched a crowdfunding campaign for the Argon ONE UP 14-inch laptop powered by the Raspberry Pi CM5 module. We’ve already covered a range of Raspberry Pi 4/5 laptops, but existing models are either rather thick or the Raspberry Pi 5 is placed on the side of a laptop shell, not ideal for portability. The Argon ONE UP looks like a proper laptop, as thin as a typical consumer laptop, while keeping Raspberry Pi features such as access to the GPIO pins. The description is rather garbage, like on all recent Kickstarter campaigns we’ve covered, with low-resolution GIF animations and text in photos (instead of actual text), but I did my best to reconstruct the Argon ONE UP specifications: SoM – Raspberry Pi CM5 (included or BYO) SoC – Broadcom BCM2712 CPU – Quad-core […]

August 5, 2025August 6, 2025 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Sipeed NanoCluster palm-sized cluster board takes up to 7 system-on-modules

Sipeed NanoCluster is a palm-sized cluster board with seven slots for Raspberry Pi CM4/CM5, Sipeed LM3H (Allwinner H618), and/or Sipeed M4N (AXera AX650N AI SoC) system-on-modules, and other compatible SoMs might also work. The board handles inter-module communication through an 8-port RISC-V-based Gigabit switch, and supports up to 60W USB-C PD or PoE (optional) power. The NanoCluster also offers independent UART and power control for each module, and is suitable as an entry-level/educational platform for HomeLab users working with distributed computing, Kubernetes, Docker, and edge computing. Sipeed NanoCluster specifications: Supported SOMs Raspberry Pi CM4 – Broadcom BCM2711 quad-core Cortex-A72 SoC @ 1.5 GHz with VideoCore VI GPU, 1GB to 8GB RAM, up to 64GB eMMC flash (optional) Raspberry Pi CM5 – Broadcom BCM2712 quad-core Cortex-A76 SoC @ 2.4 GHz with VideoCore VII GPU, 1GB to 16GB RAM, up to 64GB eMMC flash (optional) Sipeed LM3H – Allwinner H618 quad-core Cortex-A53 […]

August 4, 2025August 4, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Hengbot Sirius is a trainable AI robotic dog for consumers and developers (Crowdfunding)

Hengbot Sirius is a small AI robotic dog that can be trained by users with “manual teaching” and by developers using tools such as Sirius Creator Studio Pro and C or Python APIs. Features include an 8MP camera, a dual-mic array, and a speaker for user interaction using LLMs, text-to-speech, voice recognition, and computer vision leveraging the built-in 5 TOPS AI accelerator, a small LCD, a few RGB LEDs and sensors, and 14 DoF for legs and the head. We’ve seen plenty of other robot dogs over the years, such as the Hiwonder MechDog, the Raspberry Pi CM4-based CM4 XGO Lite smart robot dog, Mini Pupper 2, and Petoi Bittle, among others. Most are more robot-like than dog-like, and the Sirius has a more appealing design closer to a real dog. Hengbot Sirius specifications: SoC – Unnamed but likely Horizon Robotics Sunrise X3 CPU – Quad-core Arm Cortex-A53 @ 1.2-1.5 […]

August 4, 2025August 4, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Renesas RZ/G3E Arm Cortex-A55/M33 MPU targets mid-range HMI systems requiring AI acceleration

Renesas RZ/G3E is a new member of the company’s RZ/G SoCs with a quad-core Cortex-A53 application processor, a Cortex-M33 real-time core, and an Ethos-U55 NPU for mid-range, AI-enhanced HMI (Human Machine Interface) systems with up to two 1920 x 1080 resolution displays. The industrial-grade processor features MIPI-DSI, dual-link LVDS, and Parallel RGB display interfaces, 2D and 3D graphics accelerators, H.264/H.265 video decoding, a 4-lane MIPI CSI interface, two gigabit Ethernet interfaces, 2-lane PCIe Gen3, USB 3.0/2.0, and a range of analog and digital I/Os. Renesas RZ/G3E specifications: CPU Dual- or quad-core Arm Cortex-A55 processor clocked at up to 1.8 GHz Arm Cortex-M33 system management processor clocked at up to 200 MHz GPU – Arm Mali-G52 3D GPU, Image Scaling Unit (ISC), Frame Data Processor (FDP) VPU – H.264/H.265 Video codec unit (VCD) NPU – Optional Arm Ethos-U55 NPU clocked at up to 1 GHz (512 GOPS) Memory 512KB on-chip SRAM […]

August 4, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Advantech unveils NXP i.MX 95 SMARC 2.2 and OSM Size L system-on-modules

Advantech has introduced two new NXP i.MX 95 system-on-modules: the AOM-5521, compliant with the SMARC 2.2 standard, and the solder-on AOM-2521 OSM Size L system-on-module. With up to six Arm Cortex-A55 cores running at up to 2.0 GHz, a dedicated 2 TOPS NPU, and up to 8GB LPDDR4/5 memory, the AOM-5521 and AOM-2521 modules target industrial automation, medical devices, intelligent vision systems, and other Edge AI and IoT applications. AOM-5521 SMARC 2.1 CPU module AOM-5521 specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 application cores clocked at 2.0 GHz with 32K I-cache and D-cache, 64KB L2 cache, and 512KB L3 cache 1x Arm Cortex-M7 real-time core clocked at 800 MHz 1x Arm Cortex-M33 safety core clocked at 333 MHz GPU – Arm Mali-G310 V2 GPU for 2D/3D acceleration with support for OpenGL ES 3.2, Vulkan 1.2, OpenCL 3.0 VPU 4Kp30 H.265 and H.264 encode and decode […]

August 2, 2025August 16, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NV8600-Nano AI developer kit Review – Part 1: NVIDIA Jetson Orin Nano 8GB devkit unboxing and first boot

AAEON has sent me an NV8600-Nano AI developer kit equipped with an NVIDIA Jetson Orin Nano 8GB for review. I’ll start the review with an unboxing to check out the board itself and accessories, before booting it to the preinstalled Ubuntu 22.04 OS (JetPack 6.2). In the second part of the review, I’ll test the board and software in more detail, including some benchmarks and features testing with a focus on AI demos using the provided USB and Raspberry Pi cameras. NV8600-Nano AI developer kit Unboxing I received two packages: one for the NV8600-Nano AI developer kit itself, and a smaller one for a “Full HD Machine USB 2.0 camera”. The exact part number can be found on a sticker: NV8600-KIT-JP620N-A1-1010. It also lists basic information like Orin Nano 8GB, four Ethernet ports, six USB 3.0 ports, two MIPI connectors, a 40-pin GPIO header, CAN Bus and COM ports, and […]