Overview● miniPCIe form factor (30 x 50 mm)● 2 x Intel® Movidius™ Myriad™ X VPU MA2485● Power efficiency ,approximate 7.5W● Operating Temperature -20°C~60°C● Powered by Intel’s OpenVINO™ toolkit
The Mustang-MPCIE-MX2 card included two 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
Spec Item Description System Chipset 2 x Intel® Movidius™ Myriad™ X MA2485 VPU Cooling method / System Fan Active Heatsink Physical Characteristics Dimensions (LxWxH) (mm) 30 X 50 Falt-tolerance LAN Bypass miniPCIe Power Power Consumption Approximate 7.5W Environment Operating Temperature -20°C~60°C Humidity 5% ~ 90%
Item No. Description Mustang-MPCIE-MX2-R10 Deep learning inference accelerating miniPCIe card with 2 x Intel® Movidius™ Myriad™ X MA2485 VPU, miniPCIe interface 30mmx50mm, RoHS
- IEI FLEX AIoT Dev. Kit Supports Mustang Computing Accelerator Cards to Create Intelligent Future
- Smartening up License Plate Recognition with AI
- IEI Welcomes You to Visit Embedded World 2020 in Nuremberg
- Leveraging AI Solutions to Make Data Valuable
- Workload Consolidation Platform for AI Deep Learning
- Accelerate Medical Analytics with AI Inference System