Anonymous
Apr 13, 2026
Rating: 5/5
Low Power Consumption
Perfect for battery-powered edge AI projects. Very efficient and runs cool under normal loads.
Description
Reviews
| Brand | - |
| Category | Electronic Components / Maker DIY / Development Boards & Control Boards |
| Origin | - |
| Processor | Allwinner V851s SoC |
| CPU Cores | RISC-V + ARM Cortex-A7 |
| AI Acceleration | 1 TOPS NPU |
| RAM | 256MB DDR3 |
| Storage | MicroSD Card Slot |
| Ethernet | 10/100Mbps RJ45 |
| Camera Interface | MIPI CSI |
| Display Interface | MIPI DSI |
| Power Supply | 5V/2A Type-C |
| License | Fully Open Source |
Anonymous
Apr 13, 2026
Rating: 5/5
Low Power Consumption
Perfect for battery-powered edge AI projects. Very efficient and runs cool under normal loads.
Anonymous
Mar 19, 2026
Rating: 5/5
Fast Shipping
Arrived quickly and packaging was secure. Board boots instantly and recognizes peripherals well.
Anonymous
Mar 04, 2026
Rating: 4/5
Great Hardware, Docs Need Work
Board works well but some wiki pages are outdated. Still recommended for experienced developers.
Anonymous
Feb 22, 2026
Rating: 5/5
Excellent for AI Prototyping
The NPU performance is surprising for the price. Setup was straightforward and the community support is helpful.
Anonymous
Jan 28, 2026
Rating: 4/5
Good Value Proposition
Competes well with more expensive boards. Happy with purchase overall for my IoT gateway.
Q: Can I use a 5V 1A adapter?
A: While it may boot, a 5V 2A adapter is recommended for stability when using peripherals.
Q: What OS images are available?
A: We provide official images for Buildroot, Debian, and OpenWrt on our wiki.
Q: Is GPIO accessible?
A: Yes, standard GPIO pins are available on the header for expansion modules.
Q: Is a heatsink required?
A: A heatsink is recommended for sustained high-load operations to prevent thermal throttling.
Q: Does this support TensorFlow Lite?
A: Yes, TensorFlow Lite is supported on the NPU for model inference.