Anonymous
Apr 16, 2026
Rating: 5/5
Massive Upgrade from Classic UNO
Coming from an UNO R3, this is a massive leap in processing power. The eMMC storage is a game changer for logging data.
Description
Reviews
| Brand | - |
| Category | Electronic Components / Maker DIY / Development Boards & Control Boards |
| Origin | - |
| Processor Architecture | Renesas R9A02G021 (ARM Cortex-M85) |
| System RAM | 4GB LPDDR4 |
| Flash Storage | 32GB eMMC |
| Wireless Connectivity | Wi-Fi 6 + Bluetooth 5.2 |
| Power Interface | USB-C 5V DC |
| Digital I/O Pins | 14 (6 PWM capable) |
| Analog Input Channels | 6 |
| Logic Level Voltage | 3.3V |
| Board Dimensions | 68.6 x 53.4 mm |
| Import Origin | Official Italian Import |
Anonymous
Apr 16, 2026
Rating: 5/5
Massive Upgrade from Classic UNO
Coming from an UNO R3, this is a massive leap in processing power. The eMMC storage is a game changer for logging data.
Anonymous
Apr 13, 2026
Rating: 3/5
Good performance but pricey
Performance is excellent for AI tasks but the price point is higher than standard UNOs. Worth it if you need the RAM.
Anonymous
Apr 06, 2026
Rating: 5/5
Fast Delivery and Secure Packaging
Arrived quickly. Packaging was secure. Works exactly as described. Very happy with the official import status.
Anonymous
Mar 24, 2026
Rating: 5/5
Perfect for Edge AI Projects
The 4GB RAM makes a huge difference for running tinyML models directly on the board. Genuine product and works exactly as described.
Anonymous
Jan 25, 2026
Rating: 4/5
Great board, steep learning curve
Hardware is solid and fast. Software ecosystem is still catching up but promising. Good upgrade for advanced users.
Q: Is this shipped from Italy?
A: Yes, this is an official import directly from Italy to ensure authenticity.
Q: Is it compatible with Arduino IDE 2.0?
A: Yes, fully supported via the Renesas board manager within Arduino IDE 2.0.
Q: Can I power it with a 9V battery?
A: Yes, via the VIN pin or barrel jack adapter if used with a compatible shield.
Q: Does it support TensorFlow Lite?
A: Yes, it is optimized for TensorFlow Lite for Microcontrollers and Edge Impulse.
Q: Is the logic level 5V or 3.3V?
A: The UNO Q operates at 3.3V logic levels. Please ensure your sensors are compatible.