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Orange Pi AI Stick Lite - AI accelerator with USB
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  • Orange Pi AI Stick Lite - AI accelerator with USB
ID: 580927

The AI accelerator with a USB connector is based on the Lightspeeur SPR2801S chip with a performance of up to 9.3 TOPS per watt. Optimized for use with single board computers based on Allwinner SoC chips, incl. Orange Pi. Orange Pi AI Stick Lite

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14 days for return

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Description

AI accelerator in the form of a small device with a USB connector, equipped with a neural network accelerator (CNN) system. The accelerator is based on the Lightspeeur SPR2801S chip with a capacity of up to 9.3 TOPS per watt of power. The best peak performance of the 2801S is 5.6 TOPS at 100 MHz, it can also run in "ultra low power" mode, reaching 2.8 TOPS and consuming only 300 mW. The module has been optimized for use with single board computers based on Allwinner SoC systems, among others Orange Pi. Orange Pi AI Stick Lite is designed to speed up AI inference using the Caffe, TensorFlow and PyTorch platforms.

SPR2801S has SDIO 3.0 interface and eMMC 4.5 storage. It offers 68MB / s read bandwidth and 84.69MB / s write bandwidth. The NPU includes a 2-dimensional Matrix Processing Engine (MPE) with APiM (AI Processing in Memory) technology.

Features

  • AI processor
    • Lightspeeur SPR2801S chip
    • High energy efficiency: 9.3 TOP / W
    • Low power consumption: 2.8 TOP at 300 mW
    • Best Peak Performance: 5.6 TOP at 100 MHz
    • Hardware interface: SDIO3.0 eMMC 4.5
  • USB 2.0, USB 3.0 Type-A
  • Speed (MAX): read 68MB/s, write 84.69MB/s
  • Caffe, Tensorflow, PyTorch (PyTorch only supports classification tasks)
  • Supported model: VGG , SSD
  • OS: X86 Linux (Ubuntu 16.04) ARM Linux ARM Android (ARM v7, ARM v8)
  • Tools: Plai ™ ("full-stack" framework based on PyTorch)
  • Software: SDK with ARM, X86 SDK, built-in demonstrations of 1-2 models, PlaiTM model training tool
  • Power supply: 5V, 200mA
  • Working temperature: 0°C to 40°C
  • Storage temperature: -20°C to 80°C
  • Dimensions: 66.5 x 20.5 x 10.8 mm

580927

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