Best in Show Winners at Automate 2023
May 22, 2023
Blog
The judges have met and the votes are in. I’m pleased to announce the latest round of Embedded Computing Design’s Best in Show winners for the Automate 2023 Show.
First is MiTAC’s MiAi-H8 AI inference card that fits in the artificial intelligence (AI) category. Purpose-built for AI inference in factory automation, this advanced solution features support for four or eight Hailo-8 AI processors. Designed in a PCIe card form factor, the MiAi-H8 delivers up to 208 TOPs while offering outstanding power efficiency by optimizing operations while minimizing energy consumption. With a wide temperature range, from -40°C to +85°C, the MiAi-H8 excels in harsh and demanding environments, suiting it for rugged applications. And it does not require a fan for cooling.
Also in the category of AI and Machine Learning is Lanner’s EAI-i131 platform, which is designed for next-generation video analytics solutions. It’s designed around an NVIDIA Jetson Orin NX or Jetson Orin Nano SoM, delivering up to 100 TOPS of AI computing performance for a wide range of AI workloads.
The compact IP40-rated fanless EAI-I131 is equipped with a -40°C to +75°C operating temperature range that enhances reliability and durability in industrial settings. The device also supports LTE, 5G Sub6, and WiFi wireless connectivity and provides rich connectivity options, including 2x GbE PoE, 2x COM, 2x USB, and 4x DI/DO ports. Support is included for 4G LTE/ 5G Sub6 and WiFi communications mediums.
The third Best in Show winner is MiTAC’s MZ1-10ADP embedded system, which is powered by an Intel 12th/13th Gen Core i processor, up to 125 W. With its high-performance AI capabilities, this cutting-edge system takes innovation to a higher next level for enhanced security Edge computing. The system can be designed with a pair of high-end NVIDIA GFX cards (up to 600 W each) to deliver advanced and multiplexed image processing for edge AI inference or machine learning tasks. Its expandable design caters to the demands of high-performance applications while its rugged construction ensures durability in even the harshest environments. Suitable applications for the MZ1-10ADP include factory automation and intelligent transportation systems.
Rich Nass is a regular contributor to Embedded Computing Design. He has appeared on more than 500 episodes of the popular Embedded Executive podcast series, and is a regular contributor to the Embedded Insiders podcast.
Rich has been in the engineering OEM industry for more than 35 years, and is a recognized expert in the areas of embedded computing, Edge AI, industrial computing, the IoT, and cyber-resiliency and safety and security issues. He writes and speaks regularly on these topics and more.
Rich is currently the Liaison to Industry for the Embedded World North America Exhibition and Conference, and has held similar positions with the global Embedded World Conference and Exhibition.
Previously, Rich was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events. In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites.
Nass holds a BSEE degree from the New Jersey Institute of Technology.
Podcast/Interview Coverage
IEEE Awards Frede Blaabjerg Talks EVS
Atmosic: Embedded Executive: Energy Harvesting Podcast
Article Coverage
Embedded AI Isn’t Enterprise AI, and That’s a Good Thing
Tear Down: Google Pixel Watch 4
Protect Your Home from Thieves and Floods
Advantech Teams With AMD To Maximize Performance at the Edge
View additional information
