Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3576 Octa-core (4x Cortex-A72 + 4x Cortex-A53) |
| Memory | 16GB LPDDR5 |
| Storage | UFS 2.1 (Optional eMMC module support) |
| Network Interfaces | Dual Gigabit Ethernet Ports |
| AI Acceleration | Built-in NPU supporting up to 6 TOPS |
| Video Output | HDMI 2.0, MIPI-DSI, LVDS |
| Camera Interfaces | 2x MIPI-CSI ports |
| Expansion Headers | 40-pin GPIO, I2C, SPI, UART, PWM |
| Power Supply | USB Type-C PD or DC 5V/3A |
| Operating System Support | Android 12, Ubuntu 22.04, Debian, Buildroot |
Anonymous
Mar 21, 2026
Rating: 5/5
Excellent performance per watt
Using this for a mobile robot controller. The power efficiency is impressive compared to previous generations. The NPU integration worked out of the box with standard TensorFlow Lite models. Very satisfied.
Anonymous
Mar 17, 2026
Rating: 4/5
Great hardware, documentation needs work
Hardware quality is top-notch with excellent build stability. The UFS storage makes boot times incredibly fast. However, some of the peripheral pinout diagrams in the wiki could be clearer. Still, a solid choice for developers.
Anonymous
Mar 13, 2026
Rating: 4/5
Solid for factory automation testing
We deployed five of these for a pilot project in our assembly line. They handle real-time data processing well. The only minor issue was the heat sink fitment, but adding a small fan solved it completely.
Anonymous
Mar 10, 2026
Rating: 5/5
Best learning board for advanced users
As a computer science student, this board gave me everything I needed to learn about embedded AI. The dual LAN setup allowed me to simulate complex network topologies easily. Great value for the specs provided.
Anonymous
Mar 06, 2026
Rating: 5/5
Ubuntu runs flawlessly
Flashed Ubuntu 22.04 without any issues. All GPIO headers and camera interfaces were recognized immediately. The community support from FriendlyElec is also quite responsive when you have specific configuration questions.
Anonymous
Mar 05, 2026
Rating: 5/5
Perfect for Edge AI Projects
The RK3576 chip on this board is a beast for computer vision tasks. The 16GB RAM handles large models smoothly, and the dual gigabit ports are great for network-heavy applications. Highly recommended for industrial prototyping.
Q: Which camera modules are officially tested with this board?
A: Officially tested modules include the IMX415 and OV5640 sensors via the MIPI-CSI interfaces. We provide specific driver overlays for these sensors in our GitHub repository.
Q: Is there a real-time clock (RTC) battery included?
A: The board has an RTC interface and footprint, but the coin cell battery is not included in the standard package. You will need to purchase a CR1220 battery separately if you require persistent timekeeping.
Q: What is the maximum resolution supported by the HDMI output?
A: The HDMI 2.0 port supports output resolutions up to 4K at 60Hz, making it suitable for high-definition display applications.
Q: Does this board support PoE (Power over Ethernet)?
A: The NanoPi M5 does not have built-in PoE support on the main board. However, you can use a compatible PoE HAT accessory available separately to enable this feature.
Q: Can I run Docker containers on this development board?
A: Yes, Docker is fully supported on the Linux distributions (Ubuntu/Debian) available for the RK3576. Performance is excellent due to the multi-core architecture and ample RAM.
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