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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.
| 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 |
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.
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.
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.
| 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 |
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.
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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