QNAP Largest Subdistributor and Reseller partner in UAE
DataCare LLC has been the largest QNAP subdistributor since 2008. Our experience with QNAP includes designing and commissioning the entire solution with QNAP using hard drives from Seagate , WD or Toshiba. Every QNAP device you buy from us with hard drives will be pre-configured for free. Other value-added services for QNAP devices such as warranty extension for new QNAP devices (QNAP Warranty Extension), warranty extension for existing QNAP devices (DataCare Warranty Extension), extended replacement service with SLA (Datacare NBD Hardware Replacement), etc. are offered in UAE at an additional cost.
Services such as NBD replacement of a failed QNAP device, warranty extensions for existing QNAP devices are available exclusively from DataCare at an additional cost due to our service partner agreement with QNAP. Our Engineers are trained by QNAP and we also arrange workshops and techincal trainings for QNAP.
Stock availability of QNAP QNAP Mustang-V100
We have a large inventory (probably one of the largest in the Middle East) of QNAP as we are a sub-distributor. If the stock is not available, we can give you a firm delivery date.
Price Matching and Lowest Bulk Price for QNAP QNAP Mustang-V100
The price listed on the website is the retail price intended for end users, but If you are an end user looking for a better price you can either email us or use the "Match My Price" service. Resellers can request for a special reseller price.
Free Shipping for QNAP QNAP Mustang-V100 in UAE
We Ship QNAP QNAP Mustang-V100 to Dubai, Abu Dhabi and Rest of the UAE free of cost. We have Export freight rates for this product also to Middle East including Saudi Arabia, Kuwait, Qatar, Bahrain and Oman. For African countries, our organized carriers tend to be expensive and we ask that you arrange shipping yourself. VAT Exceptions for export orders from the UAE are available if shipped from Jebel Ali or if your carrier issues proper export documentation
Intel Vision Accelerator Design with Intel Movidius VPU
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-V100 is a PCIe-based accelerator card using an Intel Movidius VPU that drives the demanding workloads of modern computer vision and AI applications. It can be installed in a PC or compatible QNAP NAS to boost performance as a perfect choice for AI deep learning inference workloads.
Low power consumption, approximate 2.5W for each Intel Movidius Myriad X VPU.
Supported OpenVINO toolkit, AI edge computing ready device.
Eight Intel Movidius Myriad X VPU can execute eight topologies simultaneously.
Available Models : Mustang-V100-MX8-R10
Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe Gen2 x4 interface, RoHS
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-V100 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-V100 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)
IntelDeep Learning Deployment Toolkit
- Model Optimizer
- Inference Engine
Optimized computer vision libraries
IntelMedia SDK *OpenCL graphics drivers and runtimes.
High flexibility, Mustang-V100-MX8 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 QNAPs 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-V100 to achieve optimal performance for running inference.
Note: QTS 4.4.0 (or later) and OWCT v1.1.0 are required for the QNAP NAS.
Easy-to-manage Inference Engine with QNAP OWCT
Upload a video file
Download inference result
Check Compatible NAS Models
TVS-872XT, TVS-872XU, TVS-872XU-RP
Dimensions (Unit: mm)
Eight Intel Movidius Myriad X MA2485 VPU
PC: Ubuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit, Windows 10 (More OS are coming soon) NAS: QTS (Installing Mustang Card User Driver in the App Center is required.)
PCI Express x4 Compliant with PCI Express Specification V2.0
Power Consumption (W)
Operating Temperature & Relative Humidity
5C~55C (ambient temperature)5% ~ 90%
Active fan: 47 x 47 x 9.4 mm
169.54 mm x 80.05 mm x 23.16 mm
*Preserved PCIe 6-pin 12V external power
Dip Switch/LED indicator
Up to 16 cards can be supported with operating systems other than QTS; QNAP TS-2888X NAS supports up to 8 cards. Please assign a card ID number (from 0 to 15) to the Mustang-V100 by using rotary switch manually. The card ID number assigned here will be shown on the LED display of the card after power-up.
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I have been in the storage industry since 1998 and write frequently about tape, NAS, hard drives, solid state storage and other related storage technologies.
DataCare Dubai Legacy
I worked for Datacare as the Sales Director from 2010 to 2022, until the company closed. Now I work for PNP as a Sales Director and continue to work with the brand I used to work with.