Qnap
Qnap MUSTANG-F100-A10-R10 CPU Accelerators/ System Cache Controllers Mustang-f100-a10-r10 Fpga Accelerator Card Mustangf100a10r10 842936100887
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Part Number: MUSTANG-F100-A10-R10
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Product Specifications



Qnap Ac Mustang-F100-A10-R10 Pcie Fpga Accelerator Card W Arria 10 1150gx Supp

QNAP AC Mustang-F100-A10-R10 PCIe FPGA Accelerator Card w Arria 10 1150GX supp

Manufacturer Part Number: MUSTANG-F100-A10-R10



CPN:QNAP AC Mustang-F100-A10-R10 PCIe FPGA Accelerator Card w Arria 10 1150GX supp
MANUFACTURER NAME: Qnap
MANUFACTURER PART NUMBER: MUSTANG-F100-A10-R10
UPC EAN CODE: 842936100887
LANGUAGE: EN
MARKET:US

General Information:

Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA

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.

  • 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.

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)
  • 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
  • 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.

QNAP NAS as an Inference Server

OpenVINO™ toolkit extends workloads across Intel® hardware (including accelerators) and maximizes performance. When used with QNAP's OpenVINO™ Workflow Consolidation Tool, the Intel®-based QNAP NAS presents an ideal Inference Server that assists organizations in quickly building an inference system. Providing a model optimizer and inference engine, the OpenVINO™ toolkit is easy to use and flexible for high-performance, low-latency computer vision that improves deep learning inference. AI developers can deploy trained models on a QNAP NAS for inference, and install the Mustang-F100 to achieve optimal performance for running inference.

ManufacturerQNAP Systems
Manufacturer Part NumberMUSTANG-F100-A10-R10
Manufacturer Website Addresshttp://www.qnap.com
Brand NameQNAP
Product ModelMUSTANG-F100-A10-R10
Product NameMUSTANG-F100-A10-R10 FPGA Accelerator Card
Product TypeFPGA Accelerator Card
  Product UPC842936100887
Physical Characteristics:
Form FactorPlug-in Card
Height2.7"
Width1.3"
Depth6.7"
Miscellaneous:
Country of OriginTaiwan

Date Inserted: Tuesday November 26, 2024

This product was last updated on Tuesday December 24, 2024

All products are brand new and factory sealed unless otherwise stated.
 *** Disclaimer- Information is supplied by the Manufacturer. The image, including color, may differ from actual product appearance. CompSource, Inc. is not responsible for data. ***

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For support on this product, please contact Qnap. 909-595-2819 http://www.qnap.com/USEng/


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Toll Free #: 909-595-2819

Tech Support #: 1-909-595-2782

Site:  http://www.qnap.com/USEng/

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    Fantastic price along with prompt shipping and pay thru amazon acct...could not have asked for any better! will shop again for sure joe
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