$181.00 $90.50

Description

Waveshare Luckfox Core3576 Edge Computing Dev Board is a high-performance AIoT and edge computing platform built around the RK3576 octa-core processor. It combines 4 x Cortex-A72, 4 x Cortex-A53, a built-in 6 TOPS NPU, and a feature-rich carrier board with networking, storage, display, camera, and GPIO expansion. This makes it suitable for industrial control, AI vision, smart displays, robotics, automation, and edge inference workloads that need more than a simple SBC can offer.

This version provides 8GB LPDDR4X RAM, 64GB eMMC Flash, dual Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, M.2 NVMe SSD support, dual MIPI CSI, HDMI 2.1, MIPI DSI, and a 40-pin GPIO header. The official package is positioned as a Luckfox Omni3576 Box Kit, which includes the Core3576 module, base board, and aluminum alloy case.

Features

  • RK3576 octa-core processor with 4 x Cortex-A72 and 4 x Cortex-A53 CPU architecture.
  • 6 TOPS NPU for AI acceleration and embedded inference workloads.
  • 8GB LPDDR4X RAM + 64GB eMMC Flash for heavier Linux, AI, and multimedia applications.
  • Dual Gigabit Ethernet with support materials referencing PoE-capable networking scenarios.
  • Onboard Wi-Fi 6 and Bluetooth 5.2 for wireless edge connectivity.
  • 4K video decode and encode support for smart displays and media-rich systems.
  • Dual MIPI CSI camera interfaces for AI vision, stereo vision, and image capture workflows.
  • HDMI 2.1 output and MIPI DSI for display integration.
  • TF card slot and M.2 NVMe SSD support for local storage expansion.
  • 40-pin GPIO header compatible with Raspberry Pi HAT style expansion.
  • Aluminum alloy case for passive cooling and more deployment-friendly enclosure protection.

Specifications

ItemDetails
ProcessorRK3576 octa-core (4 x Cortex-A72 + 4 x Cortex-A53)
RAM8GB LPDDR4X
Flash64GB eMMC
NPU6 TOPS
GPUMali G52 MC3 @ 0.9GHz
ISPBuilt-in 16MP ISP with HDR, 3A, CAC, 3DNR and related image processing support
Video Decode4K@120fps (H.265/HEVC, VP9, AVS2, AV1), 4K@60fps (H.264/AVC)
Video Encode4K@60fps (H.265/HEVC, H.264/AVC)
Storage ExpansionTF card slot, M.2 NVMe SSD (2242 / 2260 / 2280)
ConnectivityDual Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2
Video OutputHDMI 2.1 (4K@120fps), MIPI DSI
Camera InputDual MIPI CSI
USB1 x USB Type-C, 1 x USB3.2 Gen1, 3 x USB2.0
CANCAN FD + CAN2.0A / B
AudioOnboard microphone + 3-pin audio header
GPIO40-pin GPIO header
SystemBuildroot, Debian, Android 14
Power5V DC
Operating Temperature0C to 60C

Applications

  • AI edge computing for local model deployment and intelligent device control.
  • Industrial control systems requiring a more capable Linux host with networking and storage expansion.
  • Smart displays and kiosks using 4K media pipelines and HDMI / DSI output.
  • Robotics and machine vision with dual camera input and NPU acceleration.
  • Automotive and embedded intelligent systems that need stronger multimedia and AI capability.
  • Gateway and edge server style projects using dual Ethernet, Wi-Fi 6, and NVMe storage.

Product List

  • Luckfox-Omni3576 Box Kit (including Core3576 module + base board + aluminum alloy case) x1

Other Content

6 TOPS AI acceleration is one of the most important reasons to choose this Core3576 edge computing dev board. It gives the RK3576 platform far stronger embedded AI potential for recognition, segmentation, analysis, and local model execution than lightweight Linux controllers.

Dual Gigabit Ethernet and NVMe storage support make this board much more practical for serious edge deployments, gateways, and data-heavy AI workloads than a simple compute module alone.

Dual camera interfaces and 4K media support also give this board a strong position for AI vision, display terminals, and multimedia edge products.

The aluminum alloy case matters for deployment. This kit is not just a bare dev board. The official package includes a case designed for passive cooling, better physical protection, and more stable long-running operation.

Resources

  • Luckfox Documentation Center
  • Luckfox GitHub Repository
  • Core3576 Datasheet
  • RK3576 Datasheet
  • RK3576 Reference Manual

FAQ

Is this SKU just the Core3576 module?
No. This SKU is the Luckfox-Omni3576 Box Kit, which includes the Core3576 module, base board, and aluminum alloy case.

What memory and flash configuration does this version provide?
This version provides 8GB LPDDR4X RAM and 64GB eMMC Flash.

Can this board support NVMe storage?
Yes. The official specification lists support for M.2 NVMe SSD in 2242 / 2260 / 2280 sizes.

What makes this board better suited to AI edge computing than a simpler Linux board?
It combines the RK3576 octa-core processor, 6 TOPS NPU, dual Ethernet, camera interfaces, and richer storage and display connectivity in a full edge-ready platform.

SKU:US31207348 Category:

Description

Waveshare Luckfox Core3576 Edge Computing Dev Board is a high-performance AIoT and edge computing platform built around the RK3576 octa-core processor. It combines 4 x Cortex-A72, 4 x Cortex-A53, a built-in 6 TOPS NPU, and a feature-rich carrier board with networking, storage, display, camera, and GPIO expansion. This makes it suitable for industrial control, AI vision, smart displays, robotics, automation, and edge inference workloads that need more than a simple SBC can offer.

This version provides 8GB LPDDR4X RAM, 64GB eMMC Flash, dual Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2, M.2 NVMe SSD support, dual MIPI CSI, HDMI 2.1, MIPI DSI, and a 40-pin GPIO header. The official package is positioned as a Luckfox Omni3576 Box Kit, which includes the Core3576 module, base board, and aluminum alloy case.

Features

  • RK3576 octa-core processor with 4 x Cortex-A72 and 4 x Cortex-A53 CPU architecture.
  • 6 TOPS NPU for AI acceleration and embedded inference workloads.
  • 8GB LPDDR4X RAM + 64GB eMMC Flash for heavier Linux, AI, and multimedia applications.
  • Dual Gigabit Ethernet with support materials referencing PoE-capable networking scenarios.
  • Onboard Wi-Fi 6 and Bluetooth 5.2 for wireless edge connectivity.
  • 4K video decode and encode support for smart displays and media-rich systems.
  • Dual MIPI CSI camera interfaces for AI vision, stereo vision, and image capture workflows.
  • HDMI 2.1 output and MIPI DSI for display integration.
  • TF card slot and M.2 NVMe SSD support for local storage expansion.
  • 40-pin GPIO header compatible with Raspberry Pi HAT style expansion.
  • Aluminum alloy case for passive cooling and more deployment-friendly enclosure protection.

Specifications

Item Details
Processor RK3576 octa-core (4 x Cortex-A72 + 4 x Cortex-A53)
RAM 8GB LPDDR4X
Flash 64GB eMMC
NPU 6 TOPS
GPU Mali G52 MC3 @ 0.9GHz
ISP Built-in 16MP ISP with HDR, 3A, CAC, 3DNR and related image processing support
Video Decode 4K@120fps (H.265/HEVC, VP9, AVS2, AV1), 4K@60fps (H.264/AVC)
Video Encode 4K@60fps (H.265/HEVC, H.264/AVC)
Storage Expansion TF card slot, M.2 NVMe SSD (2242 / 2260 / 2280)
Connectivity Dual Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.2
Video Output HDMI 2.1 (4K@120fps), MIPI DSI
Camera Input Dual MIPI CSI
USB 1 x USB Type-C, 1 x USB3.2 Gen1, 3 x USB2.0
CAN CAN FD + CAN2.0A / B
Audio Onboard microphone + 3-pin audio header
GPIO 40-pin GPIO header
System Buildroot, Debian, Android 14
Power 5V DC
Operating Temperature 0C to 60C

Applications

  • AI edge computing for local model deployment and intelligent device control.
  • Industrial control systems requiring a more capable Linux host with networking and storage expansion.
  • Smart displays and kiosks using 4K media pipelines and HDMI / DSI output.
  • Robotics and machine vision with dual camera input and NPU acceleration.
  • Automotive and embedded intelligent systems that need stronger multimedia and AI capability.
  • Gateway and edge server style projects using dual Ethernet, Wi-Fi 6, and NVMe storage.

Product List

  • Luckfox-Omni3576 Box Kit (including Core3576 module + base board + aluminum alloy case) x1

Other Content

6 TOPS AI acceleration is one of the most important reasons to choose this Core3576 edge computing dev board. It gives the RK3576 platform far stronger embedded AI potential for recognition, segmentation, analysis, and local model execution than lightweight Linux controllers.

Dual Gigabit Ethernet and NVMe storage support make this board much more practical for serious edge deployments, gateways, and data-heavy AI workloads than a simple compute module alone.

Dual camera interfaces and 4K media support also give this board a strong position for AI vision, display terminals, and multimedia edge products.

The aluminum alloy case matters for deployment. This kit is not just a bare dev board. The official package includes a case designed for passive cooling, better physical protection, and more stable long-running operation.

Resources

  • Luckfox Documentation Center
  • Luckfox GitHub Repository
  • Core3576 Datasheet
  • RK3576 Datasheet
  • RK3576 Reference Manual

FAQ

Is this SKU just the Core3576 module?
No. This SKU is the Luckfox-Omni3576 Box Kit, which includes the Core3576 module, base board, and aluminum alloy case.

What memory and flash configuration does this version provide?
This version provides 8GB LPDDR4X RAM and 64GB eMMC Flash.

Can this board support NVMe storage?
Yes. The official specification lists support for M.2 NVMe SSD in 2242 / 2260 / 2280 sizes.

What makes this board better suited to AI edge computing than a simpler Linux board?
It combines the RK3576 octa-core processor, 6 TOPS NPU, dual Ethernet, camera interfaces, and richer storage and display connectivity in a full edge-ready platform.

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