IEI Products

AI Acceleration and Industrial Compute Solutions

IEI Integration Corp. is a leading industrial computer provider. IEI's products are applied in computer-based applications such as factory automation, computer telephony integration, networking appliances, security, systems, and in fields like IoT (Internet of Things), national defense, police administration, transportation, communication base stations and medical instruments. IEI continues to promote its own-brand motherboard and AI accelerators as well as serving ODM vertical markets to offer complete and professional services.

IEI products offer flexible and highly integrated solutions for smart cities in system development of transportation, home automation, intelligent retail management, unmanned manufacturing, telemedicine operation, and online and offline services to create an unrestrained and enjoyable environment for intelligent living over generations.

IEI AI Ready Solution Accelerates Your AI Initiative

IEI develops and manufactures computing acceleration platforms that give orders-of-magnitude improvement in computing performance, tailored to Intel-based AI processing utilizing common neural networks.

Featured here are some low power, small footprint VPU’s (Vision Processing Units) for edge computing/AI that are readily ported for Medical, Hospitality, Banking, Mobile, Surveillance and Restaurant applications. These VPU’s are based on Intel’s Movidius Myriad X processor.

Mustang
MPCIE-MX2 Accelerator
M.2 form factor about 1” x 2”

TANK
AI Development Platform

GRAND

AI Training Platform

Featured IEI Product: Mustang MPCIE-MX2 dual processor

The Mustang-MPCIE-MX2 card included two Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution for compact size and embedded systems.

VPU is short for vision processing unit. It can run AI faster, and is well suited for low power consumption applications such as surveillance, retail, transportation. With the advantage of power efficiency and high performance to dedicate DNN topologies, it is perfect to be implemented in AI edge computing device to reduce total power usage, providing longer duty time for the rechargeable edge computing equipment.

Key Features