
•Operating Systems
Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows® 10 64bit
•OpenVINO™ toolkit
◦Intel® Deep Learning Deployment Toolkit
- Model Optimizer
- Inference Engine
◦Optimized computer vision libraries
◦Intel® Media SDK
•Current Supported Topologies: AlexNet, GoogleNetV1/V2, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101
* For more topologies support information please refer to Intel® OpenVINO™ Toolkit official website.
•High flexibility, Mustang-M2AE-MX1 develop on OpenVINO™ toolkit structure which allows trained data such as Caffe, TensorFlow, MXNet, and ONNX to execute on it after convert to optimized IR.
| Model Name | Mustang-M2AE-MX1 |
|---|---|
| Main Chip | 1 x Intel® Movidius™ Myriad™ X MA2485 VPU |
| Operating Systems | Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows® 10 64bit |
| Dataplane Interface | M.2 AE Key |
| Power Consumption | Approximate 5W |
| Operating Temperature | -20°C~60°C |
| Cooling | Active Heatsink |
| Dimensions | 22 x 30 mm |
| Operating Humidity | 5% ~ 90% |
| Support Topology | AlexNet, GoogleNetV1/V2, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101 |
| Part No. | Description |
|---|---|
| Mustang-M2AE-MX1 | Computing Accelerator Card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230, RoHS |