Description
Reviews
| Brand | - |
| Category | Electronic Components / Maker DIY / Development Boards & Control Boards |
| Origin | - |
| Processor | Rockchip RK3576 Octa-Core |
| AI Performance | 6 TOPS NPU |
| Memory | 8GB LPDDR4X |
| Storage | 32GB eMMC Flash |
| Operating System | Ubuntu 22.04 / Debian / Android |
| Wireless Connectivity | Wi-Fi 5 + Bluetooth 5.0 |
| Wired Network | Gigabit Ethernet RJ45 |
| Video Output | Dual HDMI 2.1 (4K @ 60Hz) |
| Expansion Interface | M.2 Key M for NVMe SSD |
| GPIO Header | 40-Pin Raspberry Pi Compatible |
Anonymous
Apr 02, 2026
Rating: 4/5
Solid Value for Money
Good build quality and port selection. Shipping took a bit long but the product meets expectations.
Anonymous
Mar 13, 2026
Rating: 4/5
Great Board, Documentation Needs Work
Hardware is solid and fast. However, getting some peripherals working required digging into forums.
Anonymous
Feb 26, 2026
Rating: 5/5
Perfect for Edge AI Projects
Running TensorFlow Lite models without lag. The thermal management is also quite efficient.
Anonymous
Feb 14, 2026
Rating: 5/5
Best Pi 5 Alternative Yet
Benchmarked against Raspberry Pi 5. The RK3576 wins in AI tasks hands down. Highly recommended.
Anonymous
Feb 12, 2026
Rating: 5/5
Outstanding AI Performance
The 6 TOPS NPU handles my object detection models smoothly. Much faster than my old Pi 4 setup.
Q: Can I power this via PoE?
A: No, this board does not have native PoE support. Use the USB-C power input.
Q: Is this compatible with Raspberry Pi HATs?
A: Yes, the 40-pin GPIO header is physically compatible with most standard HATs.
Q: Is there an active cooling fan included?
A: Yes, the kit includes a heatsink and a small cooling fan for sustained performance.
Q: What AI frameworks are supported on the NPU?
A: It supports TensorFlow, PyTorch, and ONNX via the RKNN toolkit.
Q: Does it support Docker containers?
A: Yes, Ubuntu and Debian images fully support Docker installation.
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