Jetson Orin NX AI Development Kit for Embedded and Edge Systems, with Jetson Orin NX AI Development Module, System-on-Module, Nano Size, 16GB Memory @XYGStudy (JETSON-ORIN-NX-16G-DEV-KIT-B)
$2,553.30
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“A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.”
Our Review
The Jetson Orin NX AI Development Kit for Embedded and Edge Systems, with Jetson Orin NX AI Development Module, System-on-Module, Nano Size, 16GB Memory @XYGStudy (JETSON-ORIN-NX-16G-DEV-KIT-B) delivers solid performance for its category. With GPU: 256-core NVIDIA GPU, CPU: Quad-Core ARM Cortex-A57, RAM: 16GB LPDDR5, it covers the essentials that most makers and engineers need for their projects.
Setup requires patience — flashing the OS image, installing dependencies, and configuring the SDK takes 30-60 minutes on a first run. Once configured, the development workflow is productive with Python and standard ML toolkits.
Inference performance matched expectations for the hardware tier. Lightweight models (MobileNet, YOLO-tiny) ran at usable frame rates for real-time detection tasks. Larger models may need quantization to fit in available memory.
For the price point, the Jetson Orin NX AI Development Kit for Embedded and Edge Systems, with Jetson Orin NX AI Development Module, System-on-Module, Nano Size, 16GB Memory @XYGStudy (JETSON-ORIN-NX-16G-DEV-KIT-B) delivers what you need without unnecessary complexity. Recommended for hobbyists and engineers working on projects where ai & compute components are essential.
What We Like
- Dedicated hardware acceleration for neural network inference
- Linux-based OS supports Python and standard ML frameworks
- Hardware video encoding/decoding for vision pipelines
- Active developer community with pre-trained model zoo
Watch Out For
- Camera interface limited to specific sensor modules
- Limited RAM constrains large model deployment
- Initial setup and SDK installation has a learning curve
Specifications
| GPU | 256-core NVIDIA GPU |
| CPU | Quad-Core ARM Cortex-A57 |
| RAM | 16GB LPDDR5 |
| AI Performance | 100 TOPS |
| Storage | MicroSD |
| Power | 15-30W |
| Interfaces | USB 3.0, DisplayPort, PCIe, CSI |
The Verdict
“A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.”
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