Tiny NanoPi NEO3 SBC Targets Networked Storage with GbE and USB 3.0

NanoPi NEO3 SBC

Once upon a time, FriendlyELEC launched a Raspberry Pi Zero competitor for headless applications with Allwinner H3 powered NanoPi NEO, which was then followed with NanoPi NEO2 equipped with a more powerful Allwinner H5 processor and Gigabit Ethernet, and less than two years ago, NanoPi NEO4 was launched with Rockchip RK3399 hexa-core processor, 1GB RAM, and HDMI output. “Wait! What happened to NanoPi NEO3?!” you may ask. It probably got lost in the woods, but FriendlyELEC found it under a rock, and are about to launch NanoPi NEO3 SBC based on Rockchip RK3328 and offering a USB 3.0 port and Gigabit Ethernet network connectivity. NanoPi NEO3 specifications: SoC – Rockchip RK3328 quad-core Arm Cortex A53 processor with Mali-450MP2 GPU System Memory – 1GB or 2GB DDR4 Storage – MicroSD Slot for system boot and storage Video Output – N/A Connectivity – Gigabit Ethernet with unique MAC via RTL8211E PHY USB […]

Linux powered STMicro STM32MP1 Solder-down QFN-Style SoM Measures 27x27mm

STM32MP1 Solder-down QSMP SoM

STMicro STM32MP1 Cortex A7/M4 processor was launched last year with support for Linux and Android. Since then we’ve seen a few STM32MP1 SBC‘s, development kit and modules,  with some of the latter really compact with DHCOR STM32MP157 SoM found on Avenger96 board measuring just 29x29mm. Direct Insight has now unveiled QFN-style solder-down QSMP systems-on-module based on STM32MP1 that measure just 27 x 27 x 2.3mm and manufactured in Germany by Ka-Ro Electronics. Direct Insight / Ka-Ro STM32MP1 QSMP modules specifications: SoC QSMP-1510 module – STMicro STM32MP151A single-core Cortex-A7 processor up to 650 Mhz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1530 module – STMicro STM32MP153A dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1570 module – STM32MP157C dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz and Vivante 3D GPU with […]

Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N Arm Server

SolidRun CEx7-LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor has been found in the company’s Janux GS31 Edge AI server in combination with several Gyrfalcon AI accelerators. But now another company – Bamboo Systems – has now launched its own servers based on up to eight CEx7-LX2160A module providing 128 Arm Cortex-A72 cores, support for up to 512GB DDR4 ECC, up to 64TB NVMe SSD storage, and delivering a maximum of 160Gb/s network bandwidth in a single rack unit. Bamboo Systems B1000N Server specifications: B1004N – 1 Blade System B1008N – 2 Blade System N series Blade with 4x compute nodes each (i.e. 4x CEx7 LX2160A COM Express modules) Compute Node – NXP 2160A 16-core Cortex-A72 processor for a total of  64 cores per blade. Memory – Up to 64GB ECC DDR4 per compute node or 256GB per blade. Storage – 1x 2.5” NVMe SSD PCIe […]

Sipeed TANG Hex is a Low-Cost Xilinx Zynq-7020 Arm FPGA Board

Sipeed TANG Hex

Last year, Sipeed launched a $5 FPGA board called Sipeed Tang and based on an entry-level Gowin GW1N-1-LV FPGA. But I had not noticed the company had also worked on a more powerful, yet still low-cost Xilinx Zynq-7020 board in a business card form factor not too dissimilar from the Raspberry Pi model B form factor. Meet Sipeed TANG Hex. So far a low-cost Zynq-7010 or Zynq-7020 board met you had to spend $99 to $199 with products such as MyIR Z-Turn and Digilent PYNQ-Z1. But Sipeed Tang HEX can be purchased for as little as $73 shipping on Aliexpress,  or 439 RMB ($62) on Taobao for people based in mainland China. It might be tempting to get a low-cost board to get started, but is it worth it? Read on to find out. Sipeed TANG Hex specifications: SoC – Xilinx Zynq-7020 (XC7Z020-1CLG484) dual-core Arm Cortex-A9 processor and FPGA with […]

Qualcomm Robotics RB5 Platform Targets the Development of 5G and AI-Enabled Robots

Qualcomm Robotics RB5 Platform

Qualcomm Robotics RB3 Development Platform powered by Snapdragon 845 processor gets an upgrade with Robotics RB5 Platform equipped with Qualcomm QRB5165 Robotics processor designed for industrial-grade temperature operating, and featuring a 15 TOPS Qualcomm AI Engine fo artificial intelligence and machine learning applications such as heterogeneous computing, enhanced computer vision, and multi-camera concurrency. The development platform also supports for 4G and 5G connectivity via a companion module and runs Ubuntu and ROS 2.0 operating systems. Qualcomm Robotics RB5 development kit specifications: SoC – Qualcomm QRB5165 with  Kryo 858 CPU @ up to 2.84 GHz,  Adreno 650 GPU, Adreno 665 VPU, Adreno 995 DPU, Qualcomm Hexagon DSP with quad HVX, and Qualcomm Spectra 480 ISP System Memory – 16GB LPDDR5 RAM (POP) Storage – 128 GB UFS3.0 storage, MicroSD card slot Video Output – 1x HDMI 1.4 port Audio – 2x WSA8810 Class-D on-board speaker amplifier, built-in PDM MIC, support for […]

CrowPi2 Raspberry Pi 4 Laptop Doubles as Electronics Learning Kit (Crowdfunding)

CrowPi2 Raspberry Pi 4 Laptop with Detachable Keyboard

CrowPi portable learning kit for Raspberry Pi 3 B+ and Pi Zero boards was launched in 2018. It comes with a 7″ display, several sensors, buttons, a breadboard, and more all packed in a small suitcase. Elecrow has now started a new crowdfunding campaign on Kickstarter to fund the second generation portable electronics learning kit: CrowPi2 which looks much more like a laptop than a suitcase found in the first model thanks to a large display, and a detachable keyboard placed on top of the electronic prototyping/learning area. It’s also more powerful thanks to the latest Raspberry Pi 4 SBC. CrowPi2 specifications: Compatible Raspberry Pi boards – Raspberry Pi 3B/B+, Raspberry Pi 4 Display – 11.6-inch 1920×1080 IPS screen Camera – 2MP camera Audio – Built-in microphone and stereo speaker; 3.5mm audio jack Keyboard – 2.4GHz detachable wireless keyboard (QWERTY only) with touchpad Sensors and Modules under the keyboard: Displays […]

NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano PoE Camera edge AI system

Axiomtek AIE100-903-FL is a fanless edge AI System powered by NVIDIA Jetson Nano system-on-module and designed to connect a single 15W PoE camera for AI computing, edge computing, smart retail, smart city, and more. The solution can operate in a wide range of temperatures from -30°C to +60°C and comes with an optional IP42-rated waterproof cover kit that makes it suitable for use in moist places and “semi-outdoor environments”  including freezers and under eaves (edges of the roof which overhang the face of a wall) and other outdoor locations with some protection against rain. Axiomtek AIE100-903-FL specifications: SoM – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processors, 128 CUDA core NVIDIA Maxwell GPU, 4GB 64-bit LPDDR4 and 16GB eMMC flash Storage – 1x M.2 Key M 2280 with PCIe x4 NVMe SSD slot, 1x Micro SD slot Video Output – 1x HDMI 2.0 up to 4K2K @ 60 Hz Connectivity […]

GNU Health Embedded Open Source Health Platform Works on Raspberry Pi 3/4, and soon Olimex SBC’s

GNU Health Embedded

GNU Health (GH) is a free and open-source Health and Hospital Information System (HIS) that can manage the internal processes of a health institution, such as financial management, electronic medical records (EMR), stock & pharmacies or laboratories (LIMS). It is already used in various hospitals, health centers, and medical research facilities in various countries, most developing countries, across the world. The program would normally be installed on x86 servers running Linux or FreeBSD, but there’s also a version for Raspberry Pi 3 and 4 based on openSUSE called GNU Health Embedded, and work is being done to port the solution to Olimex OlinuXino SBC’s. Contrary to what the photo above implies, GNU Solidario does not sell the hardware pre-loaded with GNU Health Embedded, but you can download it for free from their servers, and if you want to support the project you could always make a donation. As I understand […]

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