Computing accelerator card with two Intel® Movidius™ Myriad™ X VPU, providing an flexible AI inference solution



  • miniPCIe form factor (30 x 50 mm)
  • 2 x Intel® Movidius™ Myriad™ X VPU MA2485
  • Power efficiency ,approximate 7.5W
  • Operating Temperature 0°C~55°C (In TANK AIoT Dev. Kit)
  • Powered by Intel’s OpenVINO™ toolkit



Form factor
Form factor miniPCIe
Chipset Intel® Movidius™ Myriad™ X MA2485 VPU
Memory Max. 1G on board DDR4
Supported OS Ubuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit Windows® 10 64 bit
Power consumption <7.5 W
Operating Temperature 0~55℃
Safety & EMC CE FCC
Humidity 5~90℃
Dimensions 50.5x30 mm
Card Slot Interface
PCIe miniPCIe

I-Mustang-MPCIE-MX2 card included two Intel® Movidius™ Myriad™ X VPU, providing a flexible AI inference solution for compact embedded systems. A vision processing unit, VPU 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


Ordering Information

Item Description
Mustang-MPCIE-MX2-R10 Deep learning inference accelerating miniPCIe card with 2 x Intel® Movidius™ Myriad™ X MA2485 VPU, miniPCIe interface 30mmx50mm, RoHS