I-Mustang-V100-MX8

Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe Gen2 x4 interface, RoHS

Anewtech-I-Mustang-V100-MX8

Features

  • Half-Height, Half-Length, Single-slot compact size
  • Low power consumption ,approximate 2.5W for each Intel® Movidius™ Myriad™ X VPU
  • Supported OpenVINO™ toolkit, AI edge computing ready device
  • Eight Intel® Movidius™ Myriad™ X VPU can execute multiple topologies simultaneously

Specification

Anewtech-vision-accelerator-I-Mustang-V100-MX8

Main Chip Eight Intel® Movidius™ Myriad™ X MA2485 VPU
Operating Systems Ubuntu 16.04.3 LTS 64bit, CentOS 7.4 64bit (Support Windows 10 in the end of 2018 & more OS are coming soon)
Dataplane Interface PCI Express x4
Compliant with PCI Express Specification V2.0
Power Consumption <30W
Operating Temperature 5°C~55°C(ambient temperature)
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

I-Mustang-V100 provides economical acceleration solutions for AI inference, and they can also work with the OpenVINO toolkit to optimize inference workloads for image classification and computer vision. The OpenVINO toolkit, developed by Intel, helps to fast-track the development of high-performance computer vision and deep learning into vision applications. It includes the Model Optimizer and Inference Engine, and can optimize pre-trained deep learning models (such as Caffe and TensorFlow) into an intermediate representation (IR), and then execute the inference engine across heterogeneous Intel hardware (such as CPU, GPU, FPGA and VPU).

Anewtech-ai-platform-deep-learning-application

OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware and maximizes performance. It can optimize pre-trained deep learning model such as Caffe, MXNET, Tensorflow into IR binary file then execute the inference engine across Intel®-hardware heterogeneously such as CPU, GPU, Intel® Movidius™ Neural Compute Stick, and FPGA.


Anewtech-I-Mustang-MPCIE-MX2-features

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