Linux Category - Page 17 of 597 - CNX Software

November 28, 2024November 28, 2024 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

$16 Banana Pi BPI-WiFi5 router is powered by Siflower SF19A28 dual-core MIPS SoC

Banana Pi BPI WiFi5 Low-cost WiFi 5 router

Banana Pi BPI-WiFi5 is a low-cost WiFi 5 AC1200 router with four gigabit Ethernet ports powered by a 1.2 GHz Siflower SF19A28 dual-core MIPS SoC coupled with 64MB DDR2 and an 8MB flash. It’s not the first low-cost router from the company, as the Banana Pi BPI-WiFi6 Mini was introduced this summer for $30 with Triductor TR6560 SoC, and with the Banana Pi BPI-WiFi5, they’ve now introduced a lower-end WiFi 5 router going for just about $16 plus shipping on AliExpress or $29.99 on Amazon. Banana Pi BPI-WiFi5 specifications: SoC – Siflower SF19A2890S2 dual-core MIPS processor @ 1.2GHz System Memory – 64MB DDR2 RAM Storage – 8MB flash Networking Switch – Airoha AN8855R Gigabit Ethernet switch 1x Gigabit Ethernet WAN port 3x Gigabit Ethernet LAN ports Wireless 2.4 GHz WiFi 2×2 MIMO up to 300 Mbps 5 GHz WiFi 2×2 MIMO up to 866.7 Mbps Frequency bands 2.4GHz – 2.4GHz […]

November 27, 2024December 16, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

A first look at the Raspberry Pi Development Kit for CM5

Raspberry Pi Development Kit for CM5 Raspberry Pi OS

Raspberry Pi has just launched the Compute Module 5 (CM5) and the company sent me a “Raspberry Pi Development Kit for CM5” for review and to play around with the new Broadcom BCM2712 system-on-module succeeding the Raspberry Pi Compute Module 4 (CM4) introduced in 2020. Today, I’ll have a first look at the development kit checking out the hardware, connecting accessories, booting it up to Raspberry Pi OS, and collecting some basic system information. I’ll do a more in-depth review in a few weeks. Unboxing of the Raspberry Pi Development Kit for CM5 I received the kit in a package reading “Raspberry Pi Development Kit” and “For Raspberry Pi CM5”. That’s a good start… The bottom side lists the package’s content which I will check out shortly, and a link to the documentation. Let’s see what we have with the Raspberry Pi Development Kit: a Raspberry Pi IO Case, a […]

November 27, 2024November 27, 2024 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Raspberry Pi CM5 launched with Broadcom BCM2712 SoC, up to 16GB LPDDR4 ECC memory

The Raspberry Pi Compute Module 5, or Raspberry Pi CM5 for shorts, is now available with up to 16GB LPPDR4 ECC memory, up to 64GB eMMC flash, and an optional WiFi 5 and Bluetooth 5.0 LE wireless module. It has the same form factor as the Raspberry Pi CM4 and CM4 Lite launched in 2020 but delivers a significant performance boost. The Raspberry Pi CM5 is basically a tiny version of the Raspberry Pi 5 SBC designed for embedded applications with a Broadcom BCM2712 quad-core Cortex-A76 SoC, and offered with 2GB to 16GB RAM, optional 16GB to 64GB eMMC flash, and optional WiFi 5 and Bluetooth 5.0 module. As usual, there are also Raspberry Pi CM5 Lite versions without any eMMC flash meant to be booted from a microSD card or an SSD on the carrier board. Raspberry Pi Compute Module 5 Raspberry Pi CM5 specifications: SoC – Broadcom BCM2712 […]

November 26, 2024November 27, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

GEEKOM Mini Air12 Lite Review – Part 3: Ubuntu 24.04 on a low-cost mini PC

GEEKOM Mini Air12 Lite Ubuntu 24.04 review

We have already checked the hardware of the GEEKOM Mini Air12 Lite mini PC in the first part of the review, before testing the low-cost Intel Processor N100 mini PC with its 8GB RAM and 256GB SATA SSD running Windows 11 Pro in detail in the second part. We’ve now had time to test the GEEKOM Mini Air12 Lite with Ubuntu 24.04 in the third and final part of the review. We’ll test the features in Linux, run some benchmarks, evaluate storage and network performance, play some 4K and 8K videos in YouTube playback, perform a stress test to check its thermal design, and finally measure the mini PC’s fan noise and power consumption. We’ll also compare the results in Linux to the earlier GEEKOM Mini Air12 mini PC with the same CPU, but better specs and a higher price. A challenging Windows 11 / Ubuntu 24.04.1 dual boot installation […]

November 26, 2024November 25, 2024 by Sayantan Nandy - No Comments

Clipper HAT Mini – A Raspberry Pi 4G LTE pHAT with Qwiic/STEMMA QT connector

pimoroni LTE 4G for Raspberry Pi Clipper HAT Mini

Pimoroni Clipper HAT Mini – also called “CLIPPER LTE Mini HAT” – is a Raspberry Pi 4G LTE pHAT that can use mobile data for remote projects where WiFi connectivity is unreliable or unavailable. The HAT is built around a SIMCom A7683E LTE Cat 1 modem with support for frequency bands B1/B3/B5/B7/B8/B20/B28, offering uplink speeds up to 5 Mbps and downlink speeds up to 10 Mbps. Other key features of this HAT include a SIM card slot, an SMA antenna connector (antenna sold separately), two user buttons, indicator LEDs, and a Qwiic/STEMMA QT connector for I2C modules. The board is designed to attach to Raspberry Pi (Zero) via a pre-soldered socket header and includes introductory global data coverage via a 1NCE SIM card. These features make this device suitable for IoT projects, mobile data collection, and remote-controlled devices in varied environments. Raspberry Pi LTE 4G HAT Specifications Compatibility – Supports […]

November 26, 2024March 2, 2025 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Getting Started with Raspberry Pi AI HAT+ (26 TOPS) and Raspberry Pi AI camera

Raspberry Pi AI HAT+ and AI camera review

Raspberry Pi recently launched several AI products including the Raspberry Pi AI HAT+ for the Pi 5 with 13 TOPS or 26 TOPS of performance and the less powerful Raspberry Pi AI camera suitable for all Raspberry Pi SBC with a MIPI CSI connector. The company sent me samples of the AI HAT+ (26 TOPS) and the AI camera for review, as well as other accessories such as the Raspberry Pi Touch Display 2 and Raspberry Pi Bumper, so I’ll report my experience getting started mostly following the documentation for the AI HAT+ and AI camera. Hardware used for testing In this tutorial/review, I’ll use a Raspberry Pi 5 with the AI HAT+ and a Raspberry Pi Camera Module 3, while I’ll connect the AI camera to a Raspberry Pi 4. I also plan to use one of the boards with the new Touch Display 2. Let’s go through a […]

November 24, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Mitigating a DoS attack with GoAccess and Cloudflare

In this off-topic post, I’m going to discuss some behind-the-scenes “fun” that may happen when managing the web server used to host the CNX Software website. From time to time, the server becomes unreachable, but I can still access its console, and notice a very high CPU load (over 100) on a VPS with four cores, while the CPU load is typically 0.5 to 2 under normal circumstances. That’s usually due to a DoS (denial of service), DDoS (distributed denial of service), or some bug I can’t identify. An easy way to solve this issue is to log in to Cloudflare and set the “Under Attack Mode” to on. It will show all visitors a JavaScript challenge the first time they visit the website, and the CPU usage typically drops back to normal level within a minute or so. That means I can access my website and so do regular […]

November 22, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Elephant Robotics Mercury X1 is a 1.2-meter high wheeled humanoid robot with two robotic arms using an NVIDIA Jetson Xavier NX as its main controller and ESP32 microcontrollers for motor control and suitable for research, education, service, entertainment, and remote operation. The robot offers 19 degrees of freedom, can lift payloads of up to 1kg, work up to 8 hours on a charge, and travel at up to 1.2m/s or about 4.3km/h. It’s based on the company’s Mercury B1 dual-arm robot and a high-performance mobile base. Mercury X1 specifications: Main controller – NVIDIA Jetson Xavier NX CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 caches GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI accelerators – 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 […]