||Intel® Arria® 10 GX1150 FPGA
||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
||8G on board DDR4
||PCI Express x8
|Compliant with PCI Express Specification V3.0
||5°C~60°C (ambient temperature)
||Standard Half-Height, Half-Length, Double-Slot
||5% ~ 90%
||*Preserved PCIe 6-pin 12V external power
|Dip Switch/LED indicator
||Identify card number
I-Mustang-F100 is a PCIe-based accelerator card using the programmable Intel® Arria® 10 FPGA that provides the performance and versatility of FPGA acceleration. It can be installed in a PC or NAS to boost performance as a perfect choice for AI deep learning inference workloads.
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.