Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | NVIDIA Ampere architecture GPU with 6-core ARM Cortex-A78AE CPU |
| AI Performance | Up to 40 TOPS |
| Memory | 8GB 128-bit LPDDR5 |
| Storage Interface | M.2 Key M for NVMe SSD (SSD not included) |
| Connectivity | Gigabit Ethernet, Wi-Fi 6E, Bluetooth 5.2 |
| Video Output | 1x HDMI 2.1, 1x DisplayPort 1.4 |
| Camera Interfaces | 2x MIPI CSI-2 4-lane connectors |
| Power Supply | USB Type-C (19V/3A adapter included) |
| Form Factor | Compact carrier board compatible with Jetson Orin Nano module |
| Operating System Support | NVIDIA JetPack SDK (Linux based) |
Anonymous
Mar 28, 2026
Rating: 5/5
Significant upgrade from Xavier NX
The jump in inference speed compared to the previous generation is noticeable. Running multiple streams of video analytics without breaking a sweat. Highly recommended for industrial applications.
Anonymous
Mar 24, 2026
Rating: 5/5
Best value in edge computing right now
For the price point, you cannot beat the TOPS per watt. Setup took less than an hour including flashing the image. Ready to deploy into our smart camera prototype immediately.
Anonymous
Mar 15, 2026
Rating: 4/5
Great board, wish SSD was included
The carrier board works flawlessly with the Orin Nano module. My only minor complaint is that you have to buy the M.2 SSD separately, which adds to the initial cost. Otherwise, excellent hardware.
Anonymous
Mar 10, 2026
Rating: 4/5
Solid performance, runs cool
Thermal management is much better than expected. Even under load, the fan noise is minimal. The GPIO headers are well labeled, making sensor integration easy.
Anonymous
Mar 02, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This kit is exactly what I needed for my robotics project. The setup was straightforward using the latest JetPack, and the performance on object detection models is impressive for the size.
Anonymous
Mar 02, 2026
Rating: 5/5
Ideal for students and researchers
Bought this for our university lab. The documentation is clear, and the community support is strong. It handles deep learning training and inference very well for a development board.
Q: Is an heatsink or fan included for the module?
A: The kit comes with a passive heatsink and a small active fan assembly pre-attached to the module to ensure optimal thermal performance during AI workloads.
Q: Are there expansion headers for connecting Arduino sensors?
A: Yes, the carrier board features a 40-pin GPIO header compatible with many Raspberry Pi HATs and allows for direct connection to various sensors, including I2C, SPI, and UART devices.
Q: Can I power this board via a standard USB-C phone charger?
A: We recommend using the included 19V/3A power adapter. Standard phone chargers usually do not provide sufficient voltage or current for stable operation under load.
Q: What version of CUDA does this support?
A: The board supports the latest CUDA versions available through the NVIDIA JetPack SDK, currently supporting CUDA 11.4 and higher depending on the specific JetPack release installed.
Q: Does this kit include the Jetson Orin Nano module itself?
A: Yes, this is the official developer kit which includes both the NX Core Carrier Board and the pre-installed Jetson Orin Nano 8GB module.
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