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NVIDIA Jetson AGX Orin Edge AI Computing System

Posted on 22 June, 2023 by mixos

IBASE Technology Inc., a renowned global manufacturer of embedded boards and systems, announced the launch of its latest EC3500 edge AI computing system designed for AI applications in smart retail, healthcare, manufacturing, and transportation sectors. Based on NVIDIA® Jetson AGX Orin 32GB / Jetson AGX Orin 64GB, the EC3500 is equipped with either an 8-core or a 12-core NVIDIA Arm® Cortex A78AE v8.2 64-bit processor, delivering unparalleled processing power capable of handling the most demanding AI workloads with ease.

What sets the EC3500 apart is its incorporation of a powerful NVIDIA Ampere GPU featuring 1792 or 2048 cores, accompanied by 56 or 64 Tensor Cores respectively. This remarkable combination enables the concurrent execution of multiple AI application pipelines while ensuring exceptional graphics performance. The system excels in various applications, including computer vision, object detection, and natural language processing.

“With its powerful computing capabilities, advanced features, and expandability, the EC3500 is the ultimate solution for a wide range of AI applications,” said Archer Chien, Director of IBASE Solution Product Planning Dept. “We are proud to offer this cutting-edge solution to our customers and look forward to seeing the impact it will have on the industry.”

EC3500 FEATURES:

8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 / 12-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3
1792-core NVIDIA Ampere GPU with 56 Tensor Cores / 2048-core NVIDIA Ampere GPU with 64 Tensor Cores
1x M.2 B-Key 3042/3052 (LTE/5G – USB3) w/ micro sim holder: cellular function
1x M.2 E-Key 2230 (PCI-E/USB2): WiFi/BT/GPS function
1x M.2 M-Key (NVMe) 2280: storage function
1x 16-Lane MIPI Expansion Connector
Wide Power Input Range 9V~36V DC
Supports Ubuntu 20.04 OS

Furthermore, the EC3500 boasts impressive expandability options. Notable features include an M.2 B-Key 3042/3052 with a micro-SIM holder for seamless cellular functionality, ideal for locations with limited network connectivity. Additionally, it incorporates an M.2 E-Key 2230 for flexible WiFi/BT/GPS functionality, an M.2 M-Key 2280 socket for ample storage space with NVMe support, and a 16-lane MIPI expansion for enhanced customization possibilities. The system also accommodates a wide power input range of 9V~36V DC and comes with Ubuntu 20.04 OS support.

For more information, please visit www.ibase.com.tw

Introducing Pironman Mini PC case for Raspberry Pi 4

Posted on 18 June, 202322 June, 2023 by Rakesh Kumar, Ph.D.

Introduction

SunFounder has designed the Pironman Mini PC Case, which is a miniature case for Raspberry Pi 4 (Pi 3 is not compatible). It can be used for various projects or entertainment, by simply connecting a keyboard, a mouse, and a screen. Key features of the Pironman are the all-aluminum alloy tower case that includes a cooler, an M.2 SATA SSD expansion board, a 0.96″ OLED, an IR receiver, and a power button.

Features

Pironman Raspberry Pi 4 Mini PC is a miniature aluminum tower case. As said the main body is made of aluminum, with transparent acrylic panels that provide a sleek design, a tough temperament, and outstanding protection. It is equipped with a tower cooler with a silent 16 WS2812 RGB LED fan and an added bonus that can boost system performance. The internal fan in the Pironman has been optimized to run quietly and steadily while providing an increased level of cooling performance thanks to the inclusion of a temperature control feature. The WS1812 RGB Strip is an 8-LED light strip that can be used to show off Pironman’s current status. At 25°C room temperature, the fan can bring the temperature of a Raspberry Pi with 100% CPU load down to 39°C. The noise level created by the fan is as low as 22-32 decibels.

Extra storage in the form of a microSD card slot (at least 8GB in size) is supported. Additionally, the case’s bottom can be opened to accommodate an M.2 SSD to facilitate high-performance storage. It also has TRIM and UASP support. M.2 SATA solid-state drives in sizes ranging from 22mm X 30mm, 42mm, 60mm, and 80mm are supported. The M.2 SSD interface is only compatible with the SATA protocol, not NVME or PCIe. Click here to learn more about M.2 SATA SSDs and the configuration required to mount them on Pironman.

Additionally, it has a 0.96-inch OLED screen for monitoring system resources like CPU, RAM, ROM, CPU temperature, and IP address. A 5V/3A adapter can be used to power the Pironman’s power connector. Pironman can be turned on/off in safe mode using the power button, which enables safe shutdown. Additionally, the power status memory feature recalls the power state and restarts itself in the event of an unexpected power outage.

Pinout

Specifications

Supports Raspberry Pi 4B
Power input: USB Type C 5V/3A
Rated power: 5V/800mA
- I/O Interface
- Raspberry Pi standard 40-Pin GPIO
- Micro SD
- USB Type C power input
- USB 2.0 x 2
- USB 3.0
- Gigabit LAN port
- USB Type C Raspberry Pi power supply
- Micro HDMI x 2
- 3.5mm headphone jack
Others
- Power button
- OLED screen: 0.96 inches, 128×64 resolution
- Infrared receiver: 38KHz
- Cooling fan: size 40x40x10mm
- WS2812 RGB LED: 16xWS2812B-5050
Dimension: 112.45×68.2×118.92mm
Material: Body -aluminum alloy, sides, and front panel- acrylic

Video

Below is a complete guide on how to assemble a Pironman mini PC.

Exciting Applications

Pironman can be used as network-attached storage for Whole-Home File Sharing with its integrated cooling system and M.2 SATA SDD interface.
Try installing Home Assistant and Pironman Software on your Raspberry Pi System for centralized and private control of Smart home devices.
Using Pironman as a host for 3D printing ensures reliable operation over time.

Purchase Information

Pironman Raspberry Pi 4 Mini PCs cases are available for $79.99 (without the Raspberry Pi 4 2GB + 32G TF Card combo) and $237.97 (with the Raspberry Pi 4 2GB + 32G TF Card combo).

DFRobot Launches UNIHIKER: A Single-Board Computer Bringing Brand New Experience

Posted on 14 June, 202322 June, 2023 by mixos

DFRobot, a leading provider of open-source hardware, announces the launch of UNIHIKER – an innovative single-board computer designed to bring users a brand new experience with its impressive features and capabilities. Featuring a 2.8-inch touch screen, fast and effortless startup, rich interfaces, and high expandability, UNIHIKER is a preferred choice for users from the fields of artificial intelligence, robotics, STEM, and beyond. With UNIHIKER, users are empowered to unleash their imagination and innovation like never before.

UNIHIKER is a fully-featured and user-friendly single-board computer with a 2.8-inch touchscreen, Wi-Fi, and Bluetooth. It is equipped with a light sensor, accelerometer, gyroscope, and microphone, and has a built-in co-processor that can communicate with a variety of analog/digital/I2C/UART/SPI sensors and actuators.

UNIHIKER brings new experiences for users with its pre-installed software, allowing for an incredibly fast and easy start. With the built-in Jupyter Notebook, a browser-based programming environment, users can even program UNIHIKER using a smartphone or tablet. UNIHIKER also supports VS Code, VIM, and Thonny. The integrated PinPong control library allows users to directly control UNIHIKER’s built-in sensors and hundreds of connected sensors and actuators using Python. The built-in IoT service on UNIHIKER allows users to store data on device using the MQTT protocol and provides real-time web data access.

UNIHIKER is also a compact, feature-rich, and easy-to-use development tool that provides an innovative experience for learning, coding, and creating for users. UNIHIKER can connect to a router, and be accessed from a computer, iPad, or even a smartphone. It also supports Hotspot, user can play it from anywhere. With UNIHIKER, users’ imaginations can be ignited and taken on a different journey of innovation.

Key Features:

8-inch touchscreen
Easy setup via Type-C cable and programming through a browser
Rich interfaces for controlling open-source hardware
Direct control of hundreds of sensors and actuators using Python
Integrated local IoT services that can stores data on-device
Built-in Wi-Fi and Bluetooth for wireless connectivity
Supports popular coding software like Jupyter notebook, VS Code, VIM, Mind+

Specifications:

CPU: Quad-Core ARM Cortex-A35, up to 1.2GHz
RAM: 512MB
Flash: 16GB
OS: Debian
Wi-Fi: 2.4G
BT: Bluetooth 4.0
Screen: 2.8inch, 240 x 320, Touch Screen
MCU: GD32VF103
Sensor: Button, Microphone, Light Sensor, Accelerometer Sensor, Gyroscope Sensor
Actuator: Led, Buzzer
Port: USB Type-C, USB-A, Gravity 3pin/4pin port, Edge connector
Power: 5V 2A for USB Type-C
Size: 51.6mm x 83mm x 13mm

Video

With a wide range of interfaces that can control a vast array of open-source hardware, UNIHIKER offers remarkable versatility, making it an ideal solution for multiple applications. From building smart home systems to integrating with robots for AI capabilities, and even transforming into a portable instrument for data exploration and observation, UNIHIKER’s flexibility makes it an ideal choice for a variety of fields.

“DFRobot is thrilled to announce the launch of our latest single-board computer, UNIHIKER, which is a new category of single-board computer. It is equipped with a 2.8-inch touch screen and features incredibly ease of setup and programming, supported by multiple programming software. With its feature-rich and user-friendly design, UNIHIKER is the perfect development tool for learning, coding, and creating. Its wide range of interfaces and excellent flexibility make it the preferred choice for users across a variety of application fields, including artificial intelligence, robotics, and STEM. We are excited to see UNIHIKER inspire innovation and progress in these fields and beyond. Join us in unlocking the limitless potential of UNIHIKER today!” said Liang Li, Product Manager of UNIHIKER.

UNIHIKER is now available for purchase on the UNIHIKER website or DFrobot. For more information, please visit Unihiker or the Wiki Documentation.

DFRobot’s LattePanda Sigma Offers a Cutting-Edge Performance in a Compact Size

Posted on 13 June, 202322 June, 2023 by Saumitra Jagdale

The demand for single-board computers (SBCs) has increased due to their significant advantages in terms of compactness, versatility, affordability, and ease of use. As technology advances, SBCs continue to drive innovation, enabling the development of smarter and more connected devices across a wide range of industries. The LattePanda Sigma by DFRobots is a powerful single-board computer packed with Intel Core i5-1340P. It can run at a stunning 4.6 GHz clock speed. This remarkable device sets a new benchmark for performance, surpassing DFRobot’s previous versions.

Nextly, The featured Intel Core i5-1340P is a 12-core 16-thread CPU that speeds up to 4.6GHz on its four “Performance Cores” and 3.4GHz on its eight “Efficient Cores.” Further, the LattePanda Sigma gives around 1.5x times throughput than its predecessor which used the Intel Celeron N5105 core. The GPU performance is incorporated with integrated Intel Iris Xe Graphics running at 1450MHz. The Iris Xe supports 1080p 60fps gaming as well as can seamlessly handle 4K editing.

Connectivity Features of LattePanda Sigma

The single-board computer is integrated with many connectivity features. These features include:

A 2.5 Gigabit Ethernet port that serves as a vital component for networking and connectivity of the board.
The two Thunderbolt 4 ports enable high-speed data transfer. The module supports a dual-channel LPDDR5-6400 16GB RAM with a bandwidth speed of 102.4GB/s.
The module includes a USB 3.2 Gen2 port, which operates at a speed of 10Gbps, enabling fast and reliable connectivity for compatible devices.
Furthermore, the LattePanda Sigma features HDMI 2.1 that can support up to four 4K displays. The micro SIM card slot introduces cellular connectivity to the SBC by allowing mobile internet access.

The LattePanda Sigma is just 146 x 102 mm which makes it ultra-compact and light-weight. This amazing portability is backed by wide expansibility as the computer can handle up to 4 M.2 NVMe SSD. The SBC supports Windows 10, Windows 11, and Ubuntu. Such diversity in OS support expands the capabilities and versatility of LattePanda Sigma.

The standard version of the LattePanda Sigma is priced at $579 and comes with a substantial heatsink and fan assembly, while a bundle option is available at $648, which includes a 500GB SSD and a Wi-Fi 6E module. The LattePanda Sigma is now available to order at the DFRobot store.

New Widgets in Arduino IoT Cloud Dashboard

Posted on 13 June, 2023 by Saumitra Jagdale

Arduino’s pursuit of providing the most user-friendly experience with IoT and its various hardware has led them to release two new widgets to Arduino IoT Cloud dashboards, namely: the Value Selector and Value Dropdown Widgets. Arduino Cloud is a platform that supports Arduino Boards, ESP32, and ESP8266-based boards to assist in the development, deployment, and management of IoT devices.

The IoT platform is intuitive, user-friendly, and customizable. It has a low-code approach enabling even those less experienced with coding to get their hands on their projects swiftly. It also comes with a catalog of templates that the user can use to suit their needs.

One can create dashboards on the Arduino IoT Cloud interface. Dashboards are visual user interfaces for interacting with the boards over the Cloud and setting up many different setups depending on what the IoT project requires. It allows real-time visualizations of data as well as convenient management and monitoring of the connected devices.

Moreover, the entire Cloud experience is available remotely through their mobile app, Arduino IoT Cloud Remote, available for Android and iOS. The platform comes with a variety of switches, buttons, color selectors, gauges, maps, etc.–widgets, which enhance the user experience. Two new addition to this array of widgets are:

The Value Selector Widget

This widget allows a more vivid and easy to comprehend way of representing values and choices. It also simplifies the code and prevents developers from updating the code if a change in the visible value is needed.

The Value Dropdown Widget

This widget condenses the visual representation of the list of options available to the user. It also assists in categorizing and organization of the options, again uncomplicating the user experience.

New Features Introduced in Arduino Cloud IoT

Allow decoupling of the internal values of the variables from the representation on the dashboard
Easy to use and customize as they require very little coding by the user.
Enhance the way users can work with data.
Come with a greater degree of flexibility at the disposal of the user.

Try the new widgets today

Ready to take your IoT projects to the next level? Check out the official Arduino Cloud website for more information on the Arduino IoT Cloud and all the resources available to you. You can also explore the documentation to learn more about the exciting new widgets that are available. Dive in and try out the new Arduino IoT Cloud widgets for yourself! We’d love to hear your feedback, so don’t forget to share your thoughts and experiences with us on the forum.

More information on the new widgets is available on the recently published blog on Arduino Cloud Website.

UNIT DualMCU Bands Together ESP32 and RP2040

Posted on 13 June, 202313 June, 2023 by Saumitra Jagdale

With so many development boards available in the market, it is piquing to find a board with scope for versatility and heavy processing power. Additionally, the target use cases involving ESP32 generally require more I/O for data transmission, and RP2040 projects lack support for WiFi and Bluetooth connectivity. UNIT Electronics attempts to solve this problem with its new DualMCU. Hence, this development board combines the features of two 32-bit microprocessors– Espressif ESP32, more specifically, the ESP-WROOM-32, and Raspberry Pi RP2040.

The ESP-WROOM-32 module has two Tensilica Xtensa LX7 with a clock speed of up to 240MHz and SRAM of 520kB, WiFi, Bluetooth/Bluetooth Low Energy (BLE) radio. Meanwhile, the RP2040 constitutes two Arm cortex-M0+ with a clock speed of 133MHz and 264kB of SRAM, along with 16MB of external FLASH memory. It also supports 30 GPIO pins, 4 ADC channels, 16 PWM channels, and useful PIOs to further increase the development board’s applications.

The most relevant features of the DualMCU are:

Combines the Raspberry Pi RP2040 microcontroller and the Espressif ESP32 chip on a single board.
Offers Bluetooth and Wi-Fi connectivity for Internet of Things projects.
Has a compact size of 36mm x 84mm and utilizes surface mount technology.
Features four programmable cores with wireless functions and advanced capabilities.
The RP2040 microcontroller has a clock speed of 133MHz, 264kB of SRAM, support for up to 16MB of external flash memory, 30 GPIO pins, 4 ADC channels, and 16 PWM channels, among other characteristics.
The ESP32 chip has a clock speed of up to 240MHz, integrated Wi-Fi and Bluetooth connectivity, and support for multiple wireless protocols, among other characteristics.

With its Dual CORE architecture, this development board comes with robust capabilities for IoT projects in addition to its advanced low-power features and WiFi/Bluetooth connectivity. But, the board has four programmable COREs–two Arm cortex-M0+ and two LX7, coming with wireless features and with Arduino IDE and MicroPython support for programming. This means that one can program each core using MicroPython, CircuitPython, as well as with Arduino Programming Language.

The DualMCU can have a great range of applications in the Internet of Things(IoT), prototyping, evaluation and development, and robotics. Also, the high processing capacity from RP2040, along with its flexible programming support, enables the board to be used in extensive applications involving motor control and machine learning.

Both the microcontrollers on the DualMCU can largely function independently despite them being on one compact development board of 36×84mm. The positioning of the GPIOs of both the microcontrollers is such that the DualMCU is two boards in one with the advantage of easy and low-form friendly co-interaction among them. The former can be done by using standard UART, SPI, or I2C, but it’s up to the user to base interactions on their individual needs.

The UNIT DualMCU is available on Tindie for $15. The documentation, schematics, and more information is available on GitHub

Axiomtek AI developer kit comes with Nvidia Jetson Xavier NX SoM with up to 21 TOPs

Posted on 13 June, 202313 June, 2023 by Abhishek Jadhav

Axiomtek, a provider of industrial computer solutions, has recently announced the launch of the AIE110-XNX AI developer kit. This edge computing kit is designed to allow developers to create advanced artificial intelligence and edge computing applications. Inside this developer kit is the powerful Nvidia Jetson Xavier NX System-on-Module, which enables users to leverage its high performance and AI inference capabilities.

The Nvidia Jetson Xavier NX SoM is a compact module that packs the capabilities of the Nvidia Xavier System-on-Chip into a form factor as small as the Jetson Nano. With this module, developers can leverage performance and power efficiency to enhance their embedded AI and edge systems. The module comes with a wide range of input/output interfaces, including high-speed CSI, PCIe, and low-speed I2Cs and GPIOs, enabling easy integration with various peripherals and sensors.

The Nvidia Jetson Xavier NX claims to bring supercomputer-level performance to the edge, all within a compact system-on-module. It can deliver up to 21 TOPs (trillion operations per second) of AI-accelerated computing power. This allows the module to be able to execute parallel instructions of modern neural networks and efficient processing of data from multiple high-resolution sensors. This capability becomes important for developing edge AI systems that require robust computational capabilities.

“The Jetson Xavier NX enables AI at the edge with powerful computing performance, while keeping the small form factor of the Jetson Nano. This makes it possible to deploy containerized Azure solutions with AI acceleration at scale for applications like processing multiple camera feeds, more sophisticated robotics applications, and edge AI gateway scenarios,” says Moe Tanabian, General Manager of Azure Edge Devices, Microsoft.

In addition to its powerful hardware, the AIE110-XNX AI developer kit also features device monitoring and management services by Allxon. With Allxon’s comprehensive remote management solutions, users can efficiently monitor and manage their edge AI devices. This enables simplified device maintenance, firmware updates, and system health monitoring, resulting in improved overall management and deployment experience.

Axiomtek has not made the AI developer kit available online; however, interested developers can contact the company for more details.

Milk-V Mars is a credit card sized high-performance RISC-V single-board computer

Posted on 13 June, 202313 June, 2023 by Abhishek Jadhav

A few weeks ago, Chinese hardware manufacturer Milk-V Technology announced the launch of Pioneer. This RISC-V computer integrated 64 physical cores and was based on Sophon SG2042 in a standard mATX form factor. The company has now announced Milk-V Mars, another single-board computer with a credit card-sized compact design that offers high-performance computing capabilities and comes with the StarFive JH7110 system-on-chip.

Inside the Milk-V Mars is the StarFive JH7110 SoC that brings significant power to the board. The JH7110 is equipped with a dual-core U74 processor, enabling efficient multitasking and advanced computing tasks. With 2MB of L2 cache, this SoC ensures fast data access and smooth execution of applications.

One of the important features of the JH7110 is its compatibility with the Linux operating system, making it a flexible choice for developers and enthusiasts. The SoC’s built-in image/video processing subsystem supports popular codecs such as H265, H264, and JPEG, allowing seamless handling of multimedia content. Moreover, the StarFive ISP (Image Signal Processor) is compatible with mainstream camera sensors, enhancing the board’s capabilities for vision-based applications.

The JH7110 is equipped with a high-performance, low-power vision DSP and NNE (Neural Network Engine). These integrated components enable intelligent and efficient visual processing, making the Milk-V Mars ideal for various real-time visual processing needs at the edge. The SoC’s ability to perform complex image and video processing and intelligent visual calculations ensures that the board can handle diverse and demanding computational tasks.

As the RISC-V ecosystem continues to expand, the Milk-V Mars SBC stands out as an impressive addition, offering a powerful computing platform for a wide range of applications. Whether it’s edge computing, AI-powered visual processing, or multimedia projects, the Milk-V Mars with its StarFive JH7110 SoC is a good option to provide high performance and flexibility to users.

The manufacturer has not provided much information on the availability and pricing on the official product page. But given the media coverage, it is speculated that the pricing will be approximately between $60 to $90, depending on the memory capacity.

HealthyPi 5: An open-source biosignal acquisition device

Posted on 13 June, 202313 June, 2023 by Abhishek Jadhav

HealthyPi 5 is a biosignal acquisition device that has recently gained attention through its successful crowdfunding campaign. This open-source platform combines the power of a Raspberry Pi Pico and leverages a simple design of an Arduino, making it accessible and capable for capturing and analyzing various health-related data. With its advanced capabilities and compact design, HealthyPi 5 offers huge potential in healthcare and research applications.

At the core of HealthyPi 5 lies the Raspberry Pi RP2040, a dual-core Cortex M0+ microcontroller. Supported by the ESP32-C3 RISC-V microcontroller that handles wireless protocol stacks, this device ensures seamless connectivity and efficient data transfer. The Raspberry Pi RP2040, with its robust performance, facilitates reliable biosignal acquisition, while the ESP32 C3 enables wireless transmission of the acquired data. These combined capabilities make HealthyPi 5 a comprehensive solution for real-time health monitoring.

HealthyPi 5 places a strong emphasis on security with its “last-minute” integration of an onboard Microchip ATECC608A crypto chip which is used to store private keys and provide other crypto capabilities. With its dedicated secure chip, it ensures secure storage and transmission of sensitive health data. The HealthyPi 5 combines the secure element with the Zephyr OS running on the RP2040, making it suitable for a wide range of healthcare applications.

An exciting aspect of HealthyPi 5 is its compatibility with Edge Impulse, an advanced platform for developing and deploying machine learning models on edge devices. By integrating HealthyPi 5 with Edge Impulse, users can leverage artificial intelligence for real-time analysis of biosignals. The manufacturer has demonstrated an application that uses HealthyPi 5 with the Edge Impulse platform for data acquisition and inference, emphasizing on a commonly used application for collecting physiological data.

In addition to the development board, the manufacturer provides add-on boards which include a carrier board that provides five Qwiic ports. These ports enable easy attachment of external sensors and modules, enhancing the device’s capabilities. With the Carrier Board, users can seamlessly integrate additional sensors or expand the functionality of HealthyPi 5 to suit their specific needs.

The display module is another valuable add-on board designed to enhance the user experience of HealthyPi 5. It features a 3.5-inch color TFT display with a resolution of 480×320 pixels, and supports both ST7796 and ILI9348-based modules, ensuring compatibility and availability for different users.

HealthyPi 5’s software ecosystem consists of firmware, a desktop graphical user interface (GUI), and mobile applications for both Android and iOS devices. These apps allow users to conveniently configure HealthyPi 5 and view data directly on their mobile phones via Bluetooth connectivity.

If you are interested in the HealthyPi 5 basic kit that includes a mainboard with core sensors for ECG, respiration, SpO2, and temperature along with problem and cables, which starts at $299 USD plus shipping.

Aries Embedded Launches FIVEberry: A RISC-V Development Board

Posted on 13 June, 202313 June, 2023 by Abhishek Jadhav

Aries Embedded, an embedded systems solutions provider, has recently unveiled its latest offering, the FIVEberry, a RISC-V development board that aims to empower developers with advanced capabilities for their projects. The key highlight of the FIVEberry is its inclusion of the MSRZFive System on Module (SoM), which enhances the board’s performance and versatility.

The MSRZFive SoM, developed in collaboration with Renesas Electronics, brings the power of RISC-V architecture to the FIVEberry. Designed as a compact and cost-effective solution, the MSRZFive SoM integrates a single-core 64-bit Renesas microcontroller with peripherals such as Ethernet and CAN (Controller Area Network) interfaces. This combination enables seamless communication and connectivity, allowing developers to create next-gen applications for a wide range of embedded systems.

With the MSRZFive SoM at its core, the FIVEberry offers developers an array of capabilities. The system-on-module leverages the power of Andes AX45MP, which is a RISC-V-based CPU with level-2 cache coherence. The AndesCore AX45MP has dual-issue 8-stage pipeline architecture with symmetric multiprocessing up to 8 cores and is compliant with the RISC-V RV64 GCP little endian.

Specifications of FIVEBerry RISC-V development board:

SoM: Aries Embedded MSRZFive-A0A system-on-module with Renesas RZ/Five R9A07G043F01GBG single-core RISC-V CPU featuring an AndesCores AX45MP processor
Memory: 512 MB DDR4 RAM
Storage: 128Mbit SPI NOR flash and MicroSD card slot
Interfaces: 2x Gigabit Ethernet ports, 1x USD 2.0 host port, 1x micro USD 2.0 OTG port, 40x pin GPIO header
Power supply: 5V via USB Type-C port
Dimensions: 85×56 mm
Operating temperature: -25°C to +85°C

Moreover, the FIVEberry is equipped with various interfaces, including two Gigabit Ethernet channels, two USB 2.0 channels, and two CAN channels, as well as dual analog-to-digital converter modules. This opens up numerous possibilities for creating connected applications, IoT projects, and industrial automation systems.

To further enhance the development experience, Aries Embedded must provide comprehensive software support for the FIVEberry development board. We know that the manufacturer will provide a Yocto Linux BSP for the board, which allows it to be used for entry-level IoT gateway control and industrial applications.

For more information on the board, head to the official product page. If you are interested in purchasing the FIVEBerry-A0A RISC-V development board, priced at €119.00, follow the sales page on the manufacturer’s website.