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Optimize Vision Processing with AI Accelerator Card
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Optimize Vision Processing with AI Accelerator Card
 

Optimize Vision Processing with AI Accelerator Card

Undoubtedly, the improvement of vision analytics technology brings numerous insights and benefits to the society.

Detecting faces and movements of pedestrians in public places for the purpose of people counting and public safety enhancement is a common vision analytics application.

In order to immediately process and analyze a large number of image files, and compare the analysis results, it is required to have a high-performance hardware device and advanced software technology to handle the task.

IEI releases the Mustang series AI accelerator cards which is integrated with Intel® Arria® 10 FPGA / Intel® Movidius™ VPU and support Intel® Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit to provide an excellent solution for optimizing vision processing.

Why Intel® Solution

  • Cross platform: easy to be implemented in the existing projects
  • Heterogeneous: integrate all Intel’s accelerators
  • Fast integration: easy to convert a trained model to Intel platform.
  • Compact size: small in size and scalable.
  • Power efficiency: FPGA with 40W TDP; VPUx8 with 25W TDP.
  • Better performance/$/W: Intel® solutions have better FPS/$/W, compared to other solutions
why intel solution for ai inference

What OpenVINO™ toolkit offers

Intel® Distribution of OpenVINO™ toolkit is based on convolutional neural networks (CNN), the toolkit extends workloads across multiple types of Intel® platforms and maximizes performance.

It can optimize pre-trained deep learning models such as Caffe, MXNET, and ONNX Tensorflow. The tool suite includes more than 20 pre-trained models, and supports 100+ public and custom models (includes Caffe*, MXNet, TensorFlow*, ONNX*, Kaldi*) for easier deployments across Intel® silicon products (CPU, GPU/Intel® Processor Graphics, FPGA, VPU).

openvino toolkit workflow

Advantages of using VPU-based accelerator card

  • Low power consumption
  • High scalability
  • Multi-Tasks
  • Compact size
  • Longevity 5 years
  • Medium & low resolution image( < 1080P)
Mustang-M2BM-MX2 acclerator card

Mustang-M2BM-MX2

  • Deep learning inference accelerating M.2 BM key card with 2 x Intel® Movidius™ Myriad™ X MA2485 VPU, M.2 interface 22 mm x 80 mm, RoHS

Specifications - Product News

- IEI Mustang mini AI accelerator cards introduction
[English][Chinese]


Mustang-MPCIE-MX2 accelerator card

Mustang-MPCIE-MX2

  • Compact size mini PCIe 30x50mm Two Intel® Movidius™ Myriad™ X VPU can execute Two topologies simultaneously.

Specifications - Product News

- IEI Mustang mini AI accelerator cards introduction
[English][Chinese]


Mustang-V100-MX4 accelerator card

Mustang-V100-MX4

  • Computing Accelerator Card with 4 x Intel® Movidius™ Myriad™ X MA2485 VPU, PCIe Gen 2 x 2 interface, RoHS

Specifications - Product News


Mustang-V100-MX8 Computing Accelerator Card

Mustang-V100-MX8

  • Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe gen2 x4 interface, RoHS

Specifications - Brochure
- IEI Deep Learning Inference Acceleration Card - Mustang V100 [English][Chinese]

Advantages of using FPGA-based accelerator card

  • Low latency (3ms in ResNet-50)
  • Continued improved performance
  • Industrial grade
  • 10-year longevity
  • High resolution image (>1080P)
Mustang-F100 FPGA card

Mustang-F100

  • PCIe FPGA Highest Performance Accelerator Card with Arria 10 1150GX support DDR4 2400Hz 8GB, PCIe Gen3 x8 interface

- Specifications - Brochure

- Mustang-F100-A10 OpenVINO™ Toolkit Installation Guide
[English][Chinese]

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PulM-1G8T-BCM5720 | NIC for PUZZLE-IN001

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