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Intel Introduces Movidius Myriad X Vision Processing Unit with Dedicated Neural Compute Engine

Intel has just announced the third generation of Movidius Video Processing Units (VPU) with Myriad X VPU, which the company claims is the world’s first SoC shipping with a dedicated Neural Compute Engine for accelerating deep learning inferences at the edge, and giving devices the ability to see, understand and react to their environments in real time.

Movidius Myraid X VPU key features:

  • Neural Compute Engine – Dedicated on-chip accelerator for deep neural networks delivering over 1 trillion operations per second of DNN inferencing performance (based on peak floating-point computational throughput).
  • 16x programmable 128-bit VLIW Vector Processors (SHAVE cores) optimized for computer vision workloads.
  • 16x configurable MIPI Lanes – Connect up to 8 HD resolution RGB cameras for up to 700 million pixels per second of image signal processing throughput.
  • 20x vision hardware accelerators to perform tasks such as optical flow and stereo depth.
  • On-chip Memory – 2.5 MB homogeneous memory with up to 450 GB per second of internal bandwidth
  • Interfaces – PCIe Gen 3, USB 3.1
  • Packages
    • MA2085: No memory in-package; interfaces to external memory
    • MA2485: 4 Gbit LPDDR4 memory in-package

The hardware accelerators allows to offload the neural compute engine, for example, the stereo depth accelerator can simultaneously process 6 camera inputs (3 stereo pairs) each running 720p resolution at 60 Hz frame rate. The slide below also indicates Myriad X to have 10x higher DNN performance compared to Myriad 2 VPU found in Movidius Neural Compute Stick.

Click to Enlarge

The VPU ships with an SDK that contains software development frameworks, tools, drivers and libraries to implement artificial intelligence applications, such as a specialized “FLIC framework with a plug-in approach to developing application pipelines including image processing, computer vision, and deep learning”, and a neural network compiler to port neural networks from Caffe, Tensorflow, and others.

Myriad SDK Architecture

More details can be found on Movidius’ MyriadX product page.

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