QNAP Mustang-V100 interface cards/adapter Internal

QNAP Mustang-V100 interface cards/adapter Internal

£1,206.00 inc VAT
£1,005.00 exc VAT

QNAP Accelerator Card with 8 MA2485 VPU More Info

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SKU: MUSTANG-V100-MX8-R10

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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-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.

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-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.

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-V100 to achieve optimal performance for running inference.

Ports & interfaces
InternalYes
Host interfacePCIe
Expansion card standardPCIe 2.0
Technical details
ChipsetIntel Movidius Myriad X MA2485
Performance
ChipsetIntel Movidius Myriad X MA2485
Product colourBlack
Colour
Product colourBlack
Design
InternalYes
Product colourBlack
Cooling typeActive
Number of fans1 fan(s)
Features
ChipsetIntel Movidius Myriad X MA2485
Operational conditions
Operating temperature (T-T)5 - 55 °C
Operating relative humidity (H-H)5 - 90%
Weight & dimensions
Width169.5 mm
Depth80 mm
Height23.2 mm
Packaging data
Quantity1
Packaging content
Quantity1
Other features
ChipsetIntel Movidius Myriad X MA2485
N/A

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