Description
The Mustang-V100-MX4-2P is a PCIe Gen 3 x 8 card included 4 Intel® Movidius™ Myriad™ X VPU and two M.2 2280 M key storage slots, which 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.
● PCIe Gen 3 x 8 form factor
● 4 x Intel® Movidius™ Myriad™ X VPU MA2485
● Two M.2 2280 M key storage slots
● Power efficiency, only 30W.
● Operating Temperature 0° C to 50°C
● Powered by Intel's OpenVINO™ toolkit
● Multiple cards supported.
Specification
- Main Chip
- 4x Intel® Movidius™ Myriad™ X MA2485 VPU
- LAN Chip
- Two 2280 M.2 M key slots
- Operating Systems
- Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit, Windows® 10 64bit
- Dataplane Interface
- PCIe Gen 3 x 8
- Power Consumption
- 30W
- Operating Temperature
- 0°C~50°C (ambient temperature)
- Cooling
- Active FAN
- Dimensions
- 167x56x23mm
- Operating Humidity
- 5% ~ 90%
- Dip Switch/LED
- indicator Identify card number
- Support Topology
- AlexNet, GoogleNet V1/V2/V4, Yolo Tiny V1/V2, Yolo V2/V3, SSD300,SSD512, ResNet-18/50/101/152,
- DenseNet121/161/169/201, SqueezeNet 1.0/1.1, VGG16/19, MobileNet-SSD, Inception-ResNet-
- v2,Inception-V1/V2/V3/V4,SSD-MobileNet-V2-coco, MobileNet-V1-0.25-128, MobileNet-V1-0.50-160,
- MobileNet-V1-1.0-224, MobileNet-V1/V2, Faster-RCNN
Filter criteria
- Applications
- A.I. Artificial Intelligence
- Technologies
- VPU
- Processor
- Myriad X
- Card Form Factor
- PCIe
- Manufacturer
- IEI
- Status
- Phased out
- Customs Tariff Number
- 84733020
- WEEE Number
- DE 76344510
Media
DatasheetPacking list
1 x Full height bracket
1 x QIG