Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | NVIDIA Ampere architecture GPU with 1024 CUDA cores and 32 Tensor Cores |
| CPU | 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3 cache |
| Memory Options | 8GB or 16GB 128-bit LPDDR5 @ 102GB/s |
| AI Performance | Up to 100 TOPS (INT8) |
| Video Encode/Decode | 2x 4K60 (H.265/H.264) encode, 2x 4K60 decode |
| Connectivity | PCIe Gen4 x8/x4/x2/x1, SATA, USB 3.2, Gigabit Ethernet |
| Display Interfaces | 2x DP 1.4, HDMI 2.1, eDP 1.4 |
| Power Consumption | Configurable TDP: 10W, 15W, 20W, 25W, 30W, 40W, 50W |
| Operating System Support | Linux (Ubuntu-based JetPack SDK) |
| Form Factor | Compact SOM module requiring carrier board for operation |
Anonymous
Mar 30, 2026
Rating: 4/5
Excellent Performance, Pricey Ecosystem
The module itself is fantastic, but remember that you need to buy or design a compatible carrier board, which adds to the total cost. Also, official accessories can be expensive. However, for the raw AI compute power you get, it's still the best option on the market.
Anonymous
Mar 27, 2026
Rating: 5/5
Industrial Grade Reliability
We deployed these in an industrial inspection system running 24/7. The thermal management is solid, and the board has been stable for months without a single crash. The ability to configure TDP allows us to balance performance and heat dissipation perfectly for our enclosure.
Anonymous
Mar 23, 2026
Rating: 5/5
Perfect for Edge AI Prototyping
The Orin NX delivers incredible performance in a small form factor. We used it for a robotics project involving real-time object detection, and the 100 TOPS capability handled our YOLO models effortlessly. The power efficiency is also impressive compared to previous generations.
Anonymous
Mar 20, 2026
Rating: 5/5
Ideal for Autonomous Drones
We integrated this into a custom drone payload for mapping. The weight-to-performance ratio is excellent. The video encoding capabilities allow us to stream high-quality telemetry while processing LiDAR data locally. A game-changer for our field operations.
Anonymous
Mar 09, 2026
Rating: 4/5
Great Board, Steep Learning Curve
Hardware is top-notch, but if you are new to the NVIDIA ecosystem, setting up the JetPack SDK and managing dependencies can be tricky. Once everything is configured, though, the inference speed is unmatched for this size. Make sure you have a good cooling solution ready.
Anonymous
Mar 05, 2026
Rating: 5/5
Massive Upgrade from Xavier
Coming from the Xavier NX, the speed increase is noticeable immediately. Loading large neural networks is faster, and the increased RAM bandwidth makes a huge difference in data-intensive applications. Highly recommended for anyone serious about edge computing.
Q: Is the 8GB version sufficient for running multiple deep learning models simultaneously?
A: It depends on the model size. For smaller models or optimized TensorRT engines, 8GB may suffice. However, for large models or multi-task workloads, we strongly recommend the 16GB version to prevent memory bottlenecks.
Q: What cooling solution do you recommend for maximum 50W TDP?
A: For operation at 50W TDP, an active cooling solution with a high-performance fan and a substantial heatsink is required. Passive cooling is generally insufficient for sustained workloads at this power level. Please refer to the mechanical design guide for specific thermal resistance requirements.
Q: What is the maximum storage capacity supported?
A: The module supports NVMe SSDs via PCIe Gen4 lanes. While the module itself does not have onboard eMMC storage, you can connect high-capacity M.2 NVMe drives depending on your carrier board's configuration.
Q: Does this module come with a carrier board included?
A: No, the Jetson Orin NX module is sold separately. You will need to purchase a compatible carrier board or development kit separately to provide power, connectivity, and I/O interfaces.
Q: Can this board run Windows IoT?
A: No, the NVIDIA Jetson Orin NX series officially supports Linux-based operating systems only, specifically Ubuntu with the NVIDIA JetPack SDK. Windows is not supported on this architecture.
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