Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | NVIDIA Orin Nano Super (6-core Arm Cortex-A78AE v8.2 64-bit CPU) |
| GPU Architecture | NVIDIA Ampere with 1024 CUDA cores and 32 Tensor Cores |
| AI Performance | Up to 40 TOPS (INT8) for accelerated AI inference |
| Memory | 8GB 128-bit LPDDR5 with 102GB/s bandwidth |
| Storage Interface | M.2 Key M slot supporting NVMe SSDs (PCIe Gen4 x4) |
| Connectivity | Dual Gigabit Ethernet ports for robust networking |
| Video I/O | 2x MIPI CSI-2 camera interfaces supporting up to 4 cameras |
| Display Output | 1x HDMI 2.1 and 1x DisplayPort 1.4a |
| Operating System | Pre-loaded with NVIDIA JetPack SDK based on Ubuntu Linux |
| Form Factor | Compact industrial enclosure with active cooling fan |
Anonymous
Mar 23, 2026
Rating: 4/5
Great performance, runs a bit warm
The AI inference speed is exactly as advertised. I'm running YOLOv8 models smoothly. The only reason for 4 stars instead of 5 is that the fan can get a little loud under sustained heavy load, but the thermal management keeps it stable.
Anonymous
Mar 23, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
This board is a powerhouse for computer vision tasks. The dual Ethernet ports make it incredibly easy to set up in a networked environment without needing extra dongles. Compilation times are fast, and the pre-installed JetPack saved me hours of setup.
Anonymous
Mar 19, 2026
Rating: 4/5
Solid hardware, steep learning curve for beginners
The hardware itself is fantastic and well-built. However, if you are new to Linux or embedded systems, be prepared to spend some time reading docs. Once configured, it handles multi-camera streams without breaking a sweat.
Anonymous
Mar 13, 2026
Rating: 5/5
Best-in-class for its size
I upgraded from an older Jetson model, and the difference in throughput is night and day. The 8GB RAM is sufficient for most moderate-sized models. Highly recommend for anyone building smart city sensors or autonomous drones.
Anonymous
Mar 12, 2026
Rating: 5/5
Ideal for Industrial Automation
We deployed three of these units for quality control inspection on our assembly line. The reliability has been flawless over the last two months. The M.2 slot allows us to use fast local storage for logging image data.
Anonymous
Mar 04, 2026
Rating: 5/5
Excellent value for researchers
As a graduate student working on robotics, this board provides desktop-class GPU performance in a tiny package. The documentation from NVIDIA is comprehensive, making the learning curve much smoother than expected.
Q: Can I run Docker containers on this device?
A: Absolutely. The JetPack SDK includes support for NVIDIA Container Runtime, allowing you to run GPU-accelerated Docker containers seamlessly.
Q: Is the storage expandable beyond the M.2 slot?
A: While the primary expansion is via the M.2 NVMe slot, you can also connect external USB 3.2 storage drives for additional capacity.
Q: What is the maximum resolution supported by the HDMI output?
A: The HDMI 2.1 port supports up to 4K resolution at 60Hz or 8K at 30Hz, depending on your display capabilities.
Q: Does this support Wi-Fi out of the box?
A: This specific industrial model focuses on wired connectivity with dual Ethernet. It does not have built-in Wi-Fi, but you can add a USB Wi-Fi adapter if wireless is required.
Q: Does this board come with a power supply included?
A: Yes, the kit includes a compatible USB-C power adapter rated for the board's maximum power consumption.
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