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November 12, 2019 |

Avnet Unveils MaaXBoard for Low-Cost Embedded Computing and AI at the Edge Development

Single board computer is ideal for industrial automation, IoT, AI and multimedia applications

November 12, 2019 10:05 AM Eastern Standard Time

PHOENIX–(BUSINESS WIRE)–Leading global technology solutions provider Avnet (Nasdaq: AVT) is providing customers with the ability to focus more on the software side of their development by launching MaaXBoard, a low-cost, production-ready qualified single board computer. Based on the NXP i.MX 8M applications processor, MaaXBoard is ideal for embedded computing and applications that leverage AI at the edge. It supports design engineers and end-users seeking to create industrial automation, multimedia, AI and IoT applications with reduced cost and time-to-market.

Avnet Unveils MaaXBoard for Low-Cost Embedded Computing and AI at the Edge Development

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With this new single board computer, Avnet is further enabling developers who are seeking new, flexible and cost-effective means to design and test concepts. As a production-ready qualified unit, the MaaXBoard can become part of an embedded hardware system, providing customers the ability to focus more on the software side of their development. The MaaXBoard forms part of Avnet’s end-to-end product development ecosystem, helping to bring projects from idea to design, and design to production.

“Developers are looking for the right combination of feature sets, efficiency and cost-effectiveness,” said Jim Beneke, vice president of products and emerging technologies, Avnet. “This new single-board computer gives our customers an ideal balance of these qualities to accelerate their applications for embedded computing and AI at the edge. It’s the latest addition to our complete end-to-end product ecosystem for our customers to develop their devices for scale.”

The MaaXBoard uses NXP’s i.MX 8M family of applications processors, which are based on the ArmÆ CortexÆ-A53 and Cortex-M4 cores, providing industry-leading audio, voice and video processing for applications that scale from consumer home audio to industrial building automation and embedded computers.

The MaaXBoard has a range of capabilities making it ideal to investigate AI, IoT and multimedia applications, offering designers everything they need to support and create a Linux, Android, Windows 10 IoT Core or other OS-based system. The platform’s on-board peripherals include 2GB of DDR4 memory, a Gigabit Ethernet port, dual USB 3.0 host ports, HDMI output, MIPI-DSI, MPI-CSI, WiFi, Bluetooth Low Energy, MicroSD card slot and eMMC storage.

Avnet is shipping the MaaXBoard kit with a passive heatsink and a Quick Start guide to speed developers with their hardware or software development project. Android 9.0 and Yocto images are also available for download.

The complete MaaXBoard kit is available for pre-orders at $79.95, and will ship in December 2019. For more information, visit http://avnet.me/maaxboard.

Follow Avnet on Twitter: @Avnet

Follow Avnet on Instagram: http://www.instagram.com/Avnet

Connect with Avnet on Facebook: http://www.facebook.com/AvnetInc

Connect with Avnet on LinkedIn: http://www.linkedin.com/company/avnet

All brands and trade names are trademarks or registered trademarks, and are the properties of their respective owners. Avnet disclaims any proprietary interest in marks other than its own.

About Avnet

Avnet is a global technology solutions provider with an extensive ecosystem delivering design, product, marketing and supply chain expertise for customers at every stage of the product lifecycle. We transform ideas into intelligent solutions, reducing the time, cost and complexities of bringing products to market. For nearly a century, Avnet has helped its customers and suppliers around the world realize the transformative possibilities of technology. Learn more about Avnet at www.avnet.com.

Contacts

Media Contacts
Heather Vana
Avnet
heather.vana@avnet.com
480-643-8299

Alex Jafarzadeh
Brodeur Partners, for Avnet
ajafarzadeh@brodeur.com
617-587-2846


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