Linux News - Page 250 of 482 - CNX Software

August 1, 2018August 1, 2018 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

OpenWrt 18.06 is the First Release Since OpenWrt and LEDE Projects Merger

LEDE (Linux Embedded Development Environment) was forked from OpenWrt project in 2016 due to disagreements among developers, and this lead to LEDE 17.01.0 “Reboot” release the following year. But eventually, developers must have realized that running two separate and similar projects in parallel was not the best way to go, and OpentWrt and LEDE projects were re-merged right at the beginning of this year. So I’m pleased to announced the developers have now introduced the first release out of the new partnership with OpenWrt 18.06. OpenWrt 18.06 is actually the first major release since LEDE 17.01, as the previous OpenWrt release was version 15.05. It focuses on support for network flow offloading and modernizing Atheros AR71xx target, brings updates to kernel and package, as well as other improvements and fixes. You’ll find the binary packages for your hardware on the rtargets page, and the source code is hosted on Github. […]

July 31, 2018May 14, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Congatec conga-SMX8 is a SMARC 2.0 Module Based on NXP i.MX8 Processor

We’ve already seen some SMARC 2.0 SoM based on NXP i.MX8 processor with for instance, i.MX 8M based SECO SM-C12. We now have at more choice thanks to Congatec which just announced conga-SMX8, the company’s first SMARC 2.0 Computer-on-Module based on the NXP i.MX8 Arm Cortex-A53/A72 processor. conga-SMX8 SoM specifications: SoC (one or the other) NXP i.MX8 Quad Max with 2x Arm Cortex-A72, 4x Arm Cortex-A53, 2x Arm Cortex-M4F, 2x Vivante GC7000XSVX GPU NXP i.MX8 QuadPlus with 1x Arm Cortex-A72, 4x Arm Cortex-A53, 2x Arm Cortex-M4F, 2x Vivante GC7000Lite/XSVX GPU NXP i.MX8 DualMax with 2x Arm Cortex-A72, 2x Arm Cortex-M4F, 2x Vivante GC7000Lite/XSVX GPU System Memory – Up to 8 GB LPDDR4 memory | 3200 MT/s Storage – Up to 64GB eMMC flash, micro SD 3.0 card socket Other On-Module Chips 2x Gigabit Ethernet transceiver Optional M.2 1216 WiFi module (soldered down) USB hub 314-pin MXM Edge connector with Storage […]

July 27, 2018July 27, 2018 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Banana Pi BPI-R64 Router Board is Powered by Mediatek MT7622, Supports 802.11ac WiFi, Optional PoE Module

SinoVoIP launched several Banana Pi router boards in the past starting with Allwinner A20 based Banana Pi BPI-R1 in 2014, and followed by Banana Pi BPI-R2 board powered by a Mediatek MT7623 processor last year. Such boards normally include multiple Gigabit Ethernet ports, as well as at least one SATA connector, and in some cases an mPCIe connector for WiFi or LTE cards. THe company also launched Banana Pi BPI-W2 board a few months ago, but that model is more geared towards multimedia router use cases. The company has now unveiled Banana Pi BPI-R64 router board based on Mediatek MT7622 dual core Arm Cortex-A53 processor, five Gigabit Ethernet port, on-board 802.11ac WiFi, one “laptop” SATA port, as well as an optional PoE (Power-over-Ethernet) add-on board.Banana PI RPI-R64 board specifications provided by the company – which has not always shown to be accurate -: SoC – MediaTek MT7622 dual-core Arm Cortex-A53 […]

July 26, 2018 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Google Unveils Edge TPU Low Power Machine Learning Chip, AIY Edge TPU Development Board and Accelerator

Google introduced artificial intelligence and machine learning concepts to hundreds of thousands of people with their AIY projects kit such as the AIY Voice Kit with voice recognition and the AIY Vision Kit for computer vision applications. The company has now gone further by unveiling Edge TPU, its own purpose-built ASIC chip designed to run TensorFlow Lite ML models at the edge, as well as corresponding AIY Edge TPU development board, and AIY Edge TPU accelerator USB stick to add to any USB compatible hardware. Google Edge TPU (Tensor Processing Unit) & Cloud IoT Edge Software Edge TPU is a tiny chip for machine learning (ML) optimized for performance-per-watt and performance-per-dollar. It can either accelerate ML inferencing on device, or can pair with Google Cloud to create a full cloud-to-edge ML stack. In either case, local processing reduces latency, remove the needs for a persistent network connection, increases privacy, and […]

July 25, 2018July 26, 2018 by Jean-Luc Aufranc (CNXSoft) - 25 Comments

FriendlyELEC NanoPC-T4 Board Kit Unboxing and Assembly

FriendlyELEC introduced NanoPC-T4 RK3399 SBC (Single Board Computer) last May for $129. The board comes with a Rockchip RK3399 hexa-core processor, 4GB RAM, 16GB eMMC flash, dual-band WiFi module and an M.2 socket with NVME (PCIe) SSD support. The company has now sent me the device with accessories for review / evaluation. In this post, I’ll check out all items received, and show how to assemble all components. NanoPC-T4 Board Kit Unboxing Let’s getting started, and open the package… I received two identical kits with two NanoPC-T4 boards, acrylic enclosure with spacers, screws and nuts, 12V/2A power supply, heatsink, and an RC-100 IR remote control. In theory, I also expected two WiFi antennas per kit since that’s part fo the kit in their website, but I did not see any. The remote control is an optional item. [Update: Ooops. I found the antennas inside the package for NanoPC-T4 board.] I’ve […]

July 24, 2018September 9, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Khadas Edge is Both a Standalone Board and a System-on-Module powered by Rockchip RK3399

One of the two most common type of Arm boards are single board computers with everything from processor to memory/storage to ports is placed on a single PCB, and system-on-modules with processor, memory and storage, and sometimes some extra chips with for network connectivity, audio and power management that are supposed to be inserted into a baseboard exposing connectors and headers. The upcoming Khadas Edge board is a little different since it combines both categories into one board with USB receptacles and HDMI output as well as 314-pin MXM3 edge connector to connect to Khadas Captain baseboard, or any other custom compatible baseboard. Khadas Edge will come in three variants (Basic/Pro/Max) with the following specifications: SoC – Rockchip RK3399 hexa core processor with 2x Arm Cortex-A72 up to 1.8GHz, 4x Cortex-A53 up to 1.5GHz, Arm Mali T864 GPU with support for OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11, VPU with4K VP9 and 4K […]

July 24, 2018June 8, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA Jetson TX2i Module is Designed for Industrial Environments

NVIDIA Jetson TX2 “Artificial Intelligence Computer” module was announced in March 2017 with a Tegra X2 hexa-core processor, a 256-core Pascal GPU, 8GB RAM, 32GB storage, and support for 4K 60 fps encoding and decoding. But it turns out NVIDIA announced an rugged version of the module dubbed Jetson TX2i designed for reliable operation in harsh industrial environments in March of this year. NVIDIA Jetson TX2 and TX2i are pin-to-pin compatible, and can run the same software, but TX2i has been designed and tested for rougher conditions. Feature Jetson TX2 Jetson TX2i Shock 140G, 2ms 140G, 2ms Vibration 10Hz ~200Hz, 1g & 2g RMS Random: 5g RMS 10 to 500Hz Sinusoidal: 5g RMS 10 to 500Hz Temp Range -25°C – 80°C -40°C – 85°C Humidity 85°C / 85% RH, 168 hours -10°C to 65°C / 95% RH, 240 hours Operating Life 5 Years (GB at 35C: MTBF=1,747,520 hours GF at […]

July 23, 2018July 23, 2018 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Rockchip RK3308 & RK3326 Datasheets Released

Rockchip unveiled their first Arm Cortex-A35 processors with RK3326 “Gemini” and RK3308 SoCs last March. Both are designed for Smart AI solutions, and the company showcased two development kits for smart speakers and smart displays based on the new processors. We’ve already known the basic details for the processors for some times, with for example RK3326 featuring a Mali-G31 Dvalin GPU, but I’ve now been informed more details have surfaced since Rockchip published documentations including datasheets. Rockchip RK3308 Key features and specifications: CPU – Quad-core Arm Cortex-A35 64-bit Armv8-A CPU with NEON, ARMv8 Cryptography Extensions, 256KB unified system L2 cache, and VFPv4 FPU, System Memory – 256KB internal SRAM, support for DDR2, DDR3/DDR3L, LPDDR2 external memory up to 512MB Storage Internal BootROM OTP – Support 4K bit Size, 3.5K bit for secure application External I/F – 8-bits Asynchronism Nand Flash, eMMC 5.1, SPI Nor/Nand Flash, SD Card all bootable; System […]