Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | NVIDIA Jetson TX2 NX Module with Pascal GPU |
| CPU Cores | Quad-core ARM Cortex-A57 MPCore |
| GPU Architecture | 256-core NVIDIA Pascal GPU with 1 TFLOPS |
| Memory | 4GB 64-bit LPDDR4 |
| Storage | 16GB eMMC 5.1 Flash Storage |
| Connectivity | Gigabit Ethernet, Wi-Fi 802.11ac, Bluetooth 4.1 |
| I/O Interfaces | USB 3.0, USB 2.0, MIPI CSI-2, GPIO, I2C, SPI, UART |
| Power Consumption | 7.5W typical operating power |
| Operating System Support | Linux for Tegra (L4T) based on Ubuntu |
| Form Factor | Compact SOM design compatible with carrier boards |
Anonymous
Mar 19, 2026
Rating: 5/5
Robust performance for robotics
We integrated this into our autonomous rover project. The low power consumption combined with high inference speed makes it ideal for battery-operated robots.
Anonymous
Mar 15, 2026
Rating: 5/5
Excellent value for deep learning students
As a graduate student, this board allows me to run TensorFlow and PyTorch models locally without needing a massive desktop. The community support is also very helpful.
Anonymous
Mar 11, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This kit is exactly what I needed to get started with computer vision projects. The setup was straightforward, and the performance on object detection models is impressive for the size.
Anonymous
Mar 08, 2026
Rating: 3/5
Good but requires additional accessories
The board works well, but note that you often need to buy a separate carrier board, power supply, and cooling solution depending on your specific project needs. Not entirely plug-and-play.
Anonymous
Mar 05, 2026
Rating: 4/5
Great hardware, steep learning curve
The board itself is powerful and well-built. However, if you are new to Linux or embedded systems, be prepared to spend some time reading documentation. Once configured, it runs smoothly.
Anonymous
Mar 05, 2026
Rating: 4/5
Solid choice for industrial prototypes
Used this for a smart factory sensor node. It handles multiple camera streams without lagging. Documentation could be more detailed regarding pinout configurations.
Q: Can I run YOLOv5 on this board effectively?
A: Yes, the Jetson TX2 NX is capable of running YOLOv5. You may need to optimize the model using TensorRT for real-time performance, but it is fully supported within the NVIDIA ecosystem.
Q: How do I flash the OS onto the board?
A: You will need a host PC running Ubuntu. Use the NVIDIA SDK Manager to download the appropriate Linux for Tegra image and flash it to the board via USB recovery mode. Detailed guides are available on the NVIDIA developer website.
Q: Does this kit come with a power adapter included?
A: The standard development kit usually includes a basic power supply, but please check the specific seller listing as some bundles may vary. A 19V DC input is typically required.
Q: Is the carrier board included in this package?
A: This specific SKU refers to the module kit. Depending on the vendor, it may or may not include a reference carrier board. Please verify the 'What's in the Box' section of the product description before purchasing.
Q: What is the maximum resolution supported for camera inputs?
A: The board supports up to 2x MIPI CSI-2 interfaces, which can handle sensors up to 4K resolution at 30fps or dual 1080p streams at 60fps, depending on the sensor configuration.
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