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Cloud Compatible

Portenta X8

SKU ABX00049 Barcode 7630049202832 Show more
Original price €0
Original price €242,78 - Original price €242,78
Original price
Current price €242,78
€242,78 - €242,78
Current price €242,78
VAT included

Industrial-grade, secure SOM with outstanding computational density

Overview

Portenta X8 is a powerful, industrial-grade SOM with Linux OS preloaded onboard, capable of running device-independent software thanks to its modular container architecture. Take advantage of onboard Wi-Fi/Bluetooth® Low Energy connectivity to securely perform OS/application OTA updates. It’s basically two industrial products in one, with the power of no less than 9 cores. Leverage the Arduino environment to carry out real-time tasks while Linux takes care of high-performance processing.

The Portenta X8 features an NXP® i.MX 8M Mini Cortex®-A53 quad-core, up to 1.8GHz per core + 1x Cortex®-M4 up to 400MHz, plus the  STMicroelectronics STM32H747 dual-core Cortex®-M7 up to 480Mhz +M4 32 bit Arm® MCU up to 240Mhz.

Key benefits include:

  • Two industrial products in one, combining Arduino’s availability of libraries/skills with container-based Linux distribution
  • Outstanding computational density - a total of 9 cores within a compact form factor 
  • Multi-processor architecture allowing power-optimized processing
  • Leverage popular programming languages like Python, Java and Ruby among others
  • Real-time I/O and fieldbus/control on a dedicated core
  • Deploy powerful AI algorithms and machine learning on the edge
  • Secure OS/applications updates over-the-air
  • Industrial-grade security at the hardware level, thanks to its crypto chip on dedicated bus
  • Leverage the Arduino ecosystem to expand Portenta capabilities
  • Implement multi-protocol routing with a single module
  • Compatible with other Arduino Portenta products
     
Industrial-Grade Security

The Portenta X8 has been designed with industrial-grade security in mind.

  • PSA Certified and includes the NXP SE050C2 hardware security element to provide key generation, accelerated crypto operations and secure storage. 
  • Awarded Arm SystemReady certification and integrated Parsec services, making it one of the market’s first Cassini Products available to developers.

The Portenta X8 includes the customizable open-source Linux microPlatform OS, built using best industry practices for end-to-end security, incremental OTA updates and fleet management.

Utilizing the cloud-based DevOps platform from Foundries.io to reinvent the way embedded Linux solutions are built, tested, deployed and maintained, the Portenta X8 benefits from Foundries.io continuous update service for cybersecurity. This service guarantees an updated image that contains all vulnerability patches; whilst the approach to containers decouples the operating system from the application, to seamlessly keep the whole system updated.  

Applications

Portenta X8 enables IT professionals, system integrators and consulting firms to build and boost a wide variety of solutions for industrial contexts, and also lends itself to building automation and smart agriculture applications. 

Applications include:

  • Connected edge computer for manufacturing
  • Autonomous Guided Vehicles (AGV)
  • Interactive full-HD secure kiosks and digital signage
  • Office & home control systems
  • Navigation and control for smart agriculture
  • Behavioral analytics for offices and factories

Open up even more opportunities for innovation by combining the Portenta X8 with a carrier such as Portenta Breakout or Portenta Max Carrier.

Arduino Cloud for business (optional)

Subscribe to Arduino Cloud for business with Portenta X8 Board Manager to:

  • Securely maintain Linux distribution
  • Get individual provisioning keys for each device
  • Secure OTA update to target Portenta X8 devices/fleets
  • Deploy and update applications packaged into containers:
    • Pre-installed Python container
    • Other Arduino customised containers
    • Custom containers

Check It Out and learn more on Portenta X8 Manager.
For more information, see the Portenta X8 product page and feel free to get in contact with our sales engineers.

Arduino IoT Cloud Compatible

Use your MKR board on Arduino's IoT Cloud, a simple and fast way to ensure secure communication for all of your connected Things.

TRY THE ARDUINO IOT CLOUD FOR FREE

 


Resources for Safety and Products

Manufacturer Information

The production information includes the address and related details of the product manufacturer.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/ 

Responsible Person in the EU

An EU-based economic operator who ensures the product's compliance with the required regulations.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc

 

Get Inspired

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Shortly after attending a recent tinyML workshop in Sao Paolo, Brazil, Joao Vitor Freitas da Costa was looking for a way to incorporate some of the technologies and techniques he learned into a useful project. Given that he lives in an area which experiences elevated levels of pickpocketing and automotive theft, he turned his attention to a smart car security system. His solution to a potential break-in or theft of keys revolves around the incorporation of an Arduino Nicla Vision board running a facial recognition model that only allows the vehicle to start if the owner is sitting in the driver’s seat. The beginning of the image detection/processing loop involves grabbing the next image from the board’s camera and sending it to a classification model where it receives one of three labels: none, unknown, or Joao, the driver. Once the driver has been detected for 10 consecutive seconds, the Nicla Vision activates a relay in order to complete the car’s 12V battery circuit, at which point the vehicle can be started normally with the ignition. Through this project, da Costa was able to explore a practical application of vision models at-the-edge to make his friend’s car safer to use. To see how it works in more detail, you can check out the video below and delve into the tinyML workshop he attended here.

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