Tags: Orange Pi AI Stick Lite, with Plai Model Transformation Tools Neural Network Computing Artificial Intelligence, opi-ai-stick-lite, SBC Boards

Orange Pi AI Stick Lite, with Plai Model Transformation Tools Neural Network Computing Artificial Intelligence

  • $26.38
  • Orange Pi AI Stick Lite, with Plai Model Transformation Tools Neural Network Computing Artificial Intelligence

    AI Processor: Series of the Chip: Lightspeeur Module of the Chip: SPR2801S High Energy Efficiency: 9.3 TOPs/Watt Ultra Low Power: 2.8 TOPs @300mW Best Peak Performance: 5.6 TOPs @100MHz Hardware Interface: SDIO3.0 eMMC 4.5 Sealed Package of the Chip: BGA (7mm*7mm) Fabrication Process: 28nm

    Type of Connection: USB 2.0, USB3.0 Type-A. Speed(MAX): read bandwidth = 68.00 MB/s, write bandwidth = 84.69 MB/s

    PLAI training tools and related files are provided for free, if you need them, pls contact us to get them.

    Features:

    Support USB2.0 and 3.0 standard communication interface

    No programming, no language barriers

    Open SDK can be applied to platforms such as X86, ARM, etc.

    Support Android, Linux, and other operating systems

    Support VGG, SSD, and other neural network models


    Modle: Orange Pi AI Stick

    AI Processor:

    Series of the Chip: Lightspeeur

    The module of the Chip: SPR2801S

    High Energy Efficiency: 9.3 TOPs/Watt

    Ultra Low Power: 2.8 TOPs @300mW

    Best Peak Performance: 5.6 TOPs @100MHz

    Hardware Interface: SDIO3.0 eMMC 4.5

    Sealed Package of the Chip: BGA (7mm*7mm)

    Fabrication Process: 28nm

    Type of Connection: USB 2.0, USB3.0 Type-A

    Speed(MAX): read bandwidth = 68.00 MB/s, write bandwidth = 84.69 MB/s

    Supported Framework: Caffe, PyTorch, (TensorFlow will be supported soon)

    Supported Model: Supported Model

    Operating System: X86 LinuxUbuntu 16.04 ARM Linux ARM AndroidARM v7ARM v8

    Working Voltage: DC 5V 200mA

    Working Temperature: 0° C to 40° C

    Storage Temperature: -20° C to 80° C

    Physical Dimension: 66.5 mm x 20.5 mm x 10.8 mm

    Training Tool: Plai("full-stack"Framework Based on PyTorch)

    Software:

    "SDK of ARMX86 SDK, Built-in 1-2 model demonstrations; Model training tool PlaiTM"

    Note: PLAI training tools and related Files need to be purchased separately


    • 2 or more $24.69
    • 4 or more $23.28
    • Brand: Orange Pi
    • Product Code: opi-ai-stick-lite
    • Availability: 51

    Orange Pi AI Stick Lite, with Plai Model Transformation Tools Neural Network Computing Artificial Intelligence

    AI Processor: Series of the Chip: Lightspeeur Module of the Chip: SPR2801S High Energy Efficiency: 9.3 TOPs/Watt Ultra Low Power: 2.8 TOPs @300mW Best Peak Performance: 5.6 TOPs @100MHz Hardware Interface: SDIO3.0 eMMC 4.5 Sealed Package of the Chip: BGA (7mm*7mm) Fabrication Process: 28nm

    Type of Connection: USB 2.0, USB3.0 Type-A. Speed(MAX): read bandwidth = 68.00 MB/s, write bandwidth = 84.69 MB/s

    PLAI training tools and related files are provided for free, if you need them, pls contact us to get them.

    Features:

    Support USB2.0 and 3.0 standard communication interface

    No programming, no language barriers

    Open SDK can be applied to platforms such as X86, ARM, etc.

    Support Android, Linux, and other operating systems

    Support VGG, SSD, and other neural network models


    Modle: Orange Pi AI Stick

    AI Processor:

    Series of the Chip: Lightspeeur

    The module of the Chip: SPR2801S

    High Energy Efficiency: 9.3 TOPs/Watt

    Ultra Low Power: 2.8 TOPs @300mW

    Best Peak Performance: 5.6 TOPs @100MHz

    Hardware Interface: SDIO3.0 eMMC 4.5

    Sealed Package of the Chip: BGA (7mm*7mm)

    Fabrication Process: 28nm

    Type of Connection: USB 2.0, USB3.0 Type-A

    Speed(MAX): read bandwidth = 68.00 MB/s, write bandwidth = 84.69 MB/s

    Supported Framework: Caffe, PyTorch, (TensorFlow will be supported soon)

    Supported Model: Supported Model

    Operating System: X86 LinuxUbuntu 16.04 ARM Linux ARM AndroidARM v7ARM v8

    Working Voltage: DC 5V 200mA

    Working Temperature: 0° C to 40° C

    Storage Temperature: -20° C to 80° C

    Physical Dimension: 66.5 mm x 20.5 mm x 10.8 mm

    Training Tool: Plai("full-stack"Framework Based on PyTorch)

    Software:

    "SDK of ARMX86 SDK, Built-in 1-2 model demonstrations; Model training tool PlaiTM"

    Note: PLAI training tools and related Files need to be purchased separately

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