IEI Mustang-V100-MX8 – Vision Accelerator Card

Description

Mustang-V100-MX8

Accelerate To The Future

Intel Vision Accelerator Design with Intel Movidius VPU.

A Perfect Choice for AI Deep Learning Inference Workloads

Powered by Open Visual Inference & Neural Network Optimization (OpenVINO) toolkit

• 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 eight topologies simultaneously.

OpenVINO toolkit

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.

Applications

Machine Vision	Smart Retail
Surveillance	Medical Diagnostics

Overview

Powered by Open Visual Inference & Neural Network Optimization (OpenVINO) toolkit. 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 eight topologies simultaneously.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.

Features

• 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)
• OpenVINO Toolkit
• Intel Deep Learning Deployment Toolkit
  • Model Optimizer
  • Inference Engine
• Optimized computer vision libraries
• Intel Media SDK
• *OpenCL graphics drivers and runtimes.
• Current Supported Topologies: AlexNet, GoogleNet V1, Yolo Tiny V1 & V2, Yolo V2, SSD300, ResNet-18, Faster-RCNN. (more variants are coming soon)
• High flexibility, Mustang-V100-MX8 develop on OpenVINO toolkit structure which allows trained data such as Caffe, TensorFlow, and MXNet to execute on it after convert to optimized IR.

*OpenCL is the trademark of Apple Inc. used by permission by Khronos

Specification

*Standard PCIe slot provides 75W power, this feature is preserved for user in case of different system configuration

Ordering Information