Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3576 Quad-Core Cortex-A72 |
| AI Accelerator | Integrated NPU up to 6 TOPS |
| RAM | 8GB LPDDR4X |
| Storage | 32GB eMMC + MicroSD Slot |
| Operating System | Ubuntu Linux / Android 12 |
| Connectivity | Dual Band Wi-Fi 6, Bluetooth 5.0, Gigabit Ethernet |
| Video Output | HDMI 2.1 (4K@60Hz), MIPI-DSI |
| Camera Interface | 2x MIPI-CSI ports for AI vision |
| Expansion Headers | 40-pin GPIO, PCIe 3.0, USB 3.0 Type-C |
| Power Supply | 5V/3A via USB-C or DC Jack |
Anonymous
Mar 27, 2026
Rating: 4/5
Great hardware, documentation needs work
The performance is excellent for the price point. Ubuntu runs very stable. However, some of the peripheral pinout diagrams in the manual were slightly unclear.
Anonymous
Mar 23, 2026
Rating: 5/5
Best value in its class
Compared to other boards with similar NPU capabilities, this offers the best connectivity options. The PCIe slot is a huge plus for adding extra sensors.
Anonymous
Mar 15, 2026
Rating: 5/5
Robust for prototyping
We used this for a factory automation prototype. It handled multiple camera streams without lag. Thermal management is adequate even under load.
Anonymous
Mar 03, 2026
Rating: 5/5
Perfect for Edge AI Projects
This board handles my object detection models smoothly. The NPU integration is straightforward with the provided SDK, and the build quality feels premium.
Anonymous
Mar 03, 2026
Rating: 4/5
Solid performance
Boots quickly and the Android image is clean. I deducted one star because the WiFi driver took some tweaking to get stable on the Linux build I compiled.
Anonymous
Mar 01, 2026
Rating: 5/5
Ideal for learning embedded AI
As a university student, this board gave me everything I needed to deploy large models locally. The community support is growing fast too.
Q: What is the maximum resolution supported by the MIPI-CSI cameras?
A: The board supports dual cameras simultaneously, with each port capable of handling up to 13MP sensors at 30fps or 4K input depending on the sensor module used.
Q: Can I run Docker containers on this Linux image?
A: Absolutely. The Ubuntu image comes with Docker pre-installed and configured for the ARM64 architecture, allowing you to run most standard containers.
Q: Does the GPIO header support PWM output?
A: Yes, several pins on the 40-pin header are configurable for PWM output, suitable for motor control or LED dimming applications.
Q: Is a heatsink included with the board?
A: The standard package includes a passive aluminum heatsink. For heavy AI workloads in enclosed spaces, we recommend an active fan kit which is sold separately.
Q: Does this board support TensorFlow Lite for the NPU?
A: Yes, the RK3576 supports TensorFlow Lite and ONNX runtime through our provided RKNPU toolkit for efficient model deployment.
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