-
Overview
● PCIe Gen 2 x 2 form factor● 4 x Intel® Movidius™ Myriad™ X VPU MA2485● Power efficiency, Approximate 15W● Operating Temperature -20°C~60°C● Powered by Intel's OpenVINO™ toolkit● Multiple cards supported -
Features
Introduction
The Mustang-V100-MX4 is a PCIe Gen 2 x 2 card included 4 Intel® Movidius™ Myriad™ X VPU, providing a 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 of Intel® Movidius™ Myriad™ X VPU:
- Native FP16 support
- Rapidly port and deploy neural networks in Caffe and Tensorflow formats
- End-to-End acceleration for many common deep neural networks
- Industry-leading Inferences/S/Watt performance
Dimensions
-
Specifications
-
Hardware Spec.
Spec Item Description System Chipset 4 x Intel® Movidius™ Myriad™ X MA2485 VPU Cooling method / System Fan Active fan Physical Characteristics Dimensions (LxWxH) (mm) 113 X 56 X 23 Power Power Consumption Approximate 15W Environment Operating Temperature -20°C ~ 60°C Humidity 5% ~ 90% Card Slot Interface PCIe Gen 2 x 2 -
Ordering Info.
Item No. Description Mustang-V100-MX4-R10 Computing Accelerator Card with 4 x Intel® Movidius™ Myriad™ X MA2485 VPU, PCIe Gen2 x2 interface, RoHS -
Package Contents
1 x Full height bracket
-
-
News
- IEI Exclusively Combines Intel® DevCloud Platform to Provide Free Cloud-Based Service
- One Step Closer to Smart Industrial Park
- IEI Release New Fanless DIN-Rail Embedded System - DRPC-230-ULT5
- IEI FLEX AIoT Dev. Kit Supports Mustang Computing Accelerator Cards to Create Intelligent Future
- Face Recognition with Masks for the Post Pandemic Era
- AI-based Video Analytics Solutions in Smart City
