Intel® Distribution of OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across multiple types of Intel® platforms and maximizes performance.
It can optimize pre-trained deep learning models such as Caffe, MXNET, and ONNX Tensorflow. The tool suite includes more than 20 pre-trained models, and supports 100+ public and custom models (includes Caffe*, MXNet, TensorFlow*, ONNX*, Kaldi*) for easier deployments across Intel® silicon products (CPU, GPU/Intel® Processor Graphics, FPGA, VPU).
| Model Name | Mustang-V100-MX8 |
|---|---|
| Main Chip | Eight Intel® Movidius™ Myriad™ X MA2485 VPU |
| Operating Systems | Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows 10 64bit |
| Dataplane Interface | PCI Express x4 |
| Compliant with PCI Express Specification V2.0 | |
| Power Consumption | Approximate 25W |
| Operating Temperature | -20°C~60°C |
| Cooling | Active fan |
| Dimensions | Half-Height, Half-Length, Single-width PCIe |
| Operating Humidity | 5% ~ 90% |
| Power Connector | *Preserved PCIe 6-pin 12V external power |
| Dip Switch/LED indicator | Identify card number |
*Standard PCIe slot provides 75W power, this feature is preserved for user in case of different system configuration
Warning: DO NOT install the Mustang-V100-MX8 into the TANK AIoT Dev. Kit before shipment. It is recommended to ship them with their original boxes to prevent the Mustang-V100-MX8 from being damaged.
| Part No. | Description |
|---|---|
| Mustang-V100-MX8-R11 | Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe Gen2 x4 interface, RoHS |
1 x Full height bracket
1 x External power cable
1 x QIG
