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Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
The Luckfox Core3576 Edge Computing Development Board is a powerful platform designed for AI, IoT, and sensor-based projects.
Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590
Item #: 230684135

Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI

Item #: 230684135

TTD 1824

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The Luckfox Core3576 Edge Computing Development Board is a powerful platform designed for AI, IoT, and sensor-based projects.
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Shop Waveshare Luckfox Core3576 Edge Computing Development Board, Rockchip RK3576 Octa-Core 2.2GHz Processor, Big.Little Architecture, 6 Tops NPU for AI IoT and Sensor Projects SKU-29590 online at a best price in Trinidad and Tobago. B0GZ9JSQ95
  • 【High-Performance Octa-Core Processor】Powered by Rockchip RK3576 with Big.LITTLE architecture, combining quad-core Cortex-A72 and quad-core Cortex-A53 for efficient multitasking in edge computing and AI applications.
  • 【6 TOPS NPU for AI Inference】Integrated neural processing unit delivers 6 TOPS computing power, enabling seamless deployment of models from TensorFlow, PyTorch, MXNet, and Caffe for object recognition, face recognition, and semantic segmentation.
  • 【Versatile Connectivity for IoT and Sensors】Features dual Ethernet ports with PoE support on ETH1, plus USB, HDMI, and GPIO interfaces, making it ideal for sensor integration and IoT development projects.
  • 【Advanced Video Processing】Supports 4K120fps decoding and 4K60fps encoding for H.265 and H.264, ensuring smooth handling of high-definition video tasks in vision robotics and depth vision systems.
  • 【Passive Fanless Cooling Design】Optional aluminum alloy case with heat-dissipating fins ensures stable performance under full load for 24 hours, reducing dust accumulation and minimizing malfunctions in industrial and edge computing environments.
  • What's in the package(Note the model and manual on the electronic wiki)
  • Waveshare Luckfox-Omni3576-04032-Box RAM=4GB, eMMC Flash=32GB, Aluminum alloy case=Included
BrandAmpOhm360
Built-In MediaMKCN Luckfox-Omni3576-04032-Box, Mentioned in the product description
ManufacturerAmpOhm360
Item Weight0.47 Grams

What's in the box

Mentioned in the product description

MKCN Luckfox-Omni3576-04032-Box

Product Description

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Customer Questions & Answers

  • Question: What are the key features of the Luckfox Core3576?

    Answer: It has a high-performance octa-core processor, 6 TOPS NPU for AI inference, dual Ethernet ports, HDMI, and GPIO interfaces.
  • Question: Is there any cooling solution for the board?

    Answer: Yes, it comes with an optional passive fanless aluminum alloy case for stable operation.
  • Question: Which AI frameworks does it support?

    Answer: The board supports TensorFlow, PyTorch, MXNet, and Caffe for model deployment.

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