Attributes

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

6 reviews

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.

5 FAQ

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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