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QNAP MUSTANG-F100-A10-R10 Interface Card Adapter Computer Component

Product Name: Mustang-F100

Brand:QNAP

Part Number (MPN): MUSTANG-F100-A10-R10

GTIN (EAN/UPC): 0842936100887

Categories: Interface Cards/Adapters

CPIN:5572615

£2,467.2
Per unit, single order
Ordering multiple units? Get a custom quote.

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Description

Product Features:

  • 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
  • Internal
  • Host interface: PCIe
  • Black, Grey

QNAP Mustang-F100 interface cards/adapter Internal

Mustang-F100, 8 GB DDR4, PCI Express x8, 169.5x68.7x33.7 mm

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.

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.

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.

QNAP Mustang-F100, PCIe, Low-profile, PCIe 3.0, Black, Grey, Active, 2 fan(s)

QNAP Mustang-F100. Host interface: PCIe, Expansion card form factor: Low-profile, Expansion card standard: PCIe 3.0. Product colour: Black, Grey, Cooling type: Active, Number of fans: 2 fan(s). Chipset: Intel Arria 10 GX1150 FPGA. Power consumption (typical): 60 W. Width: 169.5 mm, Depth: 68.7 mm, Height: 33.7 mm

Specification

Ports & interfaces

Host interface
PCIe
Expansion card form factor
Low-profile
Expansion card standard
PCIe 3.0

Design

Internal
Yes
Product colour
Black, Grey
Cooling type
Active
Number of fans
2 fan(s)

Features

Chipset
Intel Arria 10 GX1150 FPGA

Power

Power consumption (typical)
60 W

Operational conditions

Operating temperature (T-T)
5 - 60 °C
Operating relative humidity (H-H)
5 - 90%

Weight & dimensions

Width
169.5 mm
Depth
68.7 mm
Height
33.7 mm

Packaging data

Quantity
1

Logistics data

Harmonized System (HS) code
84733020

Media