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Waveshare Jetson Nano Base A Development Board for AI Projects

Description

The Waveshare Jetson Nano Base A serves as a compact development board for AI and embedded projects, equipped with essential processing power for tasks like image recognition and machine learning.

For developers and enthusiasts, this board facilitates prototyping AI applications, such as running neural networks or computer vision algorithms, with its integrated GPU and CPU for efficient performance in a space-saving design.

  • 128-core Maxwell GPU for parallel processing in AI computations
  • Quad-core ARM A57 CPU at 1.43 GHz for reliable multitasking
  • 4GB 64-bit LPDDR4 memory and 16GB eMMC storage for smooth operation
  • Multiple connectivity options including Gigabit Ethernet and USB 3.0 ports
  • Support for HDMI, DP, and camera interfaces for versatile input/output
  • Extension interfaces like GPIO, I2C, and SPI for custom projects
  • Compact dimensions of 100 x 80 x 29mm for easy integration into various setups

This board fits well in educational settings, research labs, or hobbyist workspaces where AI development requires balanced performance and expandability.

Waveshare Jetson Nano Base A Development Board for AI Projects

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The Waveshare Jetson Nano Base A serves as a compact development board for AI and embedded projects, equipped with essential... Read more

$102.28 Excl. VAT

    • Shipped today? Order within: Jun 05, 2026 17:00:00 -0400

    Description

    The Waveshare Jetson Nano Base A serves as a compact development board for AI and embedded projects, equipped with essential processing power for tasks like image recognition and machine learning.

    For developers and enthusiasts, this board facilitates prototyping AI applications, such as running neural networks or computer vision algorithms, with its integrated GPU and CPU for efficient performance in a space-saving design.

    • 128-core Maxwell GPU for parallel processing in AI computations
    • Quad-core ARM A57 CPU at 1.43 GHz for reliable multitasking
    • 4GB 64-bit LPDDR4 memory and 16GB eMMC storage for smooth operation
    • Multiple connectivity options including Gigabit Ethernet and USB 3.0 ports
    • Support for HDMI, DP, and camera interfaces for versatile input/output
    • Extension interfaces like GPIO, I2C, and SPI for custom projects
    • Compact dimensions of 100 x 80 x 29mm for easy integration into various setups

    This board fits well in educational settings, research labs, or hobbyist workspaces where AI development requires balanced performance and expandability.

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