Overview● M.2 AE key form factor (22 x 30 mm)● 1 x Intel® Movidius™ Myriad™ X VPU MA2485● Power efficiency, approximate 4.5W● Operating Temperature -20°C to 60°C● Powered by Intel’s OpenVINO™ toolkit
Mustang-M2AE-MX1 VPU Accelerator Card
The Mustang-M2AE-MX1M.2 AE-key card included one 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 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 Form factor Form factor M.2 2230 A+E Key System Chipset 1 x Intel® Movidius™ Myriad™ X MA2485 VPU Memory Max. 512MB on board DDR4 Supported OS Ubuntu 18.04 LTS 64-bit,
Ubuntu 16.04 LTS 64-bit,
CentOS 7.4 64-bit,
Windows® 10 64 bit
Power Power consumption Approximate 4.5W Environment Operating Temperature -20~60℃ Safety & EMC CE FCC Storage Temperature 5~90℃ Dimensions Dimensions 22 x 30 mm Card Slot Interface M.2 M.2 A+E Key
Item No. Description Mustang-M2AE-MX1-R10 Deep learning inference accelerating M.2 AE key card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU, M.2 interface 22mmx30mm, RoHS