Mustang-F100-A10 Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA

Accelerators available in Moscow

Mustang-F100-A10
Intel® Vision Accelerator Design
with Intel® Arria® 10 FPGA

A Perfect Choice for AI Deep Learning Inference Workloads

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

  • Half-Height, Half-Length, Double-Slot.
  • Power-efficiency, low-latency.
  • Supported OpenVINO™ toolkit, AI edge computing ready device.
  • FPGAs can be optimized for different deep learning tasks.
  • Intel® FPGAs supports multiple float-points and inference workloads.

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.

  • 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, Tiny Yolo, LeNet, SqueezeNet, VGG16, ResNet (more variants are coming soon)
    • Intel® FPGA Deep Learning Acceleration Suite

    Intel Programmable Acceleration Card с Intel Arria 10 GX FPGA добавлена в список поддерживаемых OpenVINO Toolkit аппаратных платформ.

Specifications

Model Name Mustang-F100-A10
Main FPGA Intel® Arria® 10 GX1150 FPGA
Operating Systems Ubuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit (Support Windows® 10 in the end of 2018 & more OS are coming soon)
Voltage Regulator and Power Supply Intel® Enpirion® Power Solutions
Memory 8G on board DDR4
Dataplane Interface PCI Express x8
Compliant with PCI Express Specification V3.0
Power Consumption < 60W
Operating Temperature 5°C~60°C (ambient temperature)
Cooling Active fan
Dimensions Standard Half-Height, Half-Length, Double-Slot
Operating Humidity 5% ~ 90%
Power Connector *Preserved PCIe 6-pin 12V external power
Dip Switch/LED indicator Identify card number

Applications

Contact Us

Almaz-SP, Open Joint Stock Company 127025, Moscow, Obraztsova str.7, bld 2
+7(495) 221-69-21