QNAP Mustang F100 Intel Vision Computing Accelerator
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QNAP Mustang F100 Intel Vision Computing Accelerator Available Now

By: QNAP

Model: Mustang-F100-A10-R10

Sku: EYS6MJOASU

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Availability: Out of stock

  • 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.
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As QNAP NAS evolves to support a wider range of applications (including surveillance, virtualization, and AI) you not only need more storage space on your NAS, but also require the NAS to have greater power to optimize targeted workloads. The 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 compatible QNAP NAS to boost performance as a perfect choice for AI deep learning inference workloads

Get deep learning acceleration on Intel-based Server/PC

You can insert the Mustang-F100 into a PC/workstation running Linux (Ubuntu ) to acquire computational acceleration for optimal application performance such as deep learning inference, video streaming, and data center. As an ideal acceleration solution for real-time AI inference, the Mustang-F100 can also work with Intel OpenVINO toolkit to optimize inference workloads for image classification and computer vision.

Operating Systems

Ubuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit, Windows 10 (More OS are coming soon)

Intel FPGA Deep Learning Acceleration Suite

High flexibility, Mustang-F100-A10 develop on OpenVINO toolkit structure which allows trained data such as Caffe, TensorFlow, and MXNet to execute on it after convert to optimized IR.

In the Box

  • QNAP Mustang F100 Intel Vision Computing Accelerator