
Jetson Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module
$280.39
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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
For $280.39 CAD, the Jetson Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module packs respectable specs: GPU: 472 CUDA cores + 16 Tensor cores, CPU: Quad-Core ARM Cortex-A78AE, RAM: 8GB LPDDR5. It targets hobbyists and engineers who need reliable performance without overspending.
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.
The Jetson Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module earns its place in the parts bin. Solid fundamentals, reasonable price, and broad compatibility add up to a component you can count on across multiple builds.
What We Like
- Runs TensorFlow Lite and ONNX models at the edge
- Active developer community with pre-trained model zoo
- Hardware video encoding/decoding for vision pipelines
- Low power envelope suitable for embedded AI deployments
Watch Out For
- Limited RAM constrains large model deployment
- Not all popular ML frameworks are fully supported
- Draws significant power under full inference load
Specifications
| GPU | 472 CUDA cores + 16 Tensor cores |
| CPU | Quad-Core ARM Cortex-A78AE |
| RAM | 8GB LPDDR5 |
| AI Performance | 100 TOPS |
| Storage | 32GB eMMC |
| Power | 5-10W |
| Interfaces | USB 3.0, HDMI, CSI, GPIO |
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.”



