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 (INT8) |
| Memory Options | 4GB or 8GB 128-bit LPDDR5 |
| Storage Interface | M.2 Key M for NVMe SSD (not included) |
| Connectivity | Gigabit Ethernet, Wi-Fi 6E, Bluetooth 5.2 |
| Camera Interfaces | 2x MIPI CSI-2 connectors (4-lane each) |
| Display Outputs | 1x HDMI 2.1, 1x DisplayPort 1.4 |
| Expansion Ports | USB 3.2 Gen 2 Type-C, USB 3.2 Gen 2 Type-A, GPIO header |
| Power Supply | DC barrel jack (19V recommended) or USB-C PD |
| Form Factor | Compact carrier board designed for Orin Nano module |
Anonymous
Mar 28, 2026
Rating: 5/5
Excellent value for 40 TOPS
Compared to other embedded AI solutions, the price-to-performance ratio here is unbeatable. The 8GB RAM option handles large models without swapping. Highly recommend for industrial inspection systems.
Anonymous
Mar 24, 2026
Rating: 4/5
Great hardware, steep learning curve
The board itself is powerful and well-built. However, if you are new to Jetson, be prepared to spend time configuring the environment. Once set up, the DeepStream SDK works wonderfully for video analytics.
Anonymous
Mar 17, 2026
Rating: 5/5
Solid upgrade for our lab
We purchased three of these for our university research lab. The connectivity options are extensive, allowing us to hook up multiple sensors easily. Documentation from NVIDIA is comprehensive.
Anonymous
Mar 12, 2026
Rating: 5/5
Ready out of the box
Flashed the latest JetPack OS in minutes. The pre-installed containers for TensorFlow and PyTorch saved me hours of configuration. It's a robust platform for deploying computer vision models.
Anonymous
Mar 11, 2026
Rating: 4/5
Runs hot under full load
Performance is fantastic, but the module does get warm when pushing the GPU to 100% for extended periods. I added a small active fan to the heatsink which solved the thermal throttling issue completely.
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 SD card image, and the performance jump from the previous generation is noticeable. Running YOLOv8 at high FPS is smooth.
Q: How do I switch between the 4GB and 8GB memory configurations?
A: The memory is soldered onto the Orin Nano module itself. You cannot switch configurations via software; you must purchase the specific module variant (4GB or 8GB) that matches your requirements.
Q: Does this kit come with an SD card and power adapter?
A: The Super Kit typically includes a 64GB SD card pre-flashed with the OS and a compatible power adapter. Please verify the specific SKU details at checkout as bundle contents can vary by region.
Q: Can I use this board with Raspberry Pi cameras?
A: No, the Jetson Orin Nano uses MIPI CSI-2 interfaces which are not electrically compatible with standard Raspberry Pi camera modules. You will need cameras specifically designed for NVIDIA Jetson platforms.
Q: What is the maximum storage capacity supported via the M.2 slot?
A: The M.2 Key M slot supports NVMe SSDs up to 2280 form factor. While there is no official strict cap, users have successfully installed drives up to 4TB. Ensure your SSD has a compatible keying.
Q: Is Docker supported on this development board?
A: Yes, the Jetson Linux operating system fully supports Docker and NVIDIA Container Toolkit, allowing you to run containerized AI applications seamlessly.
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