Jetson Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module （Jetson-Nano-LITE-DEV-KIT-B）
$316.60
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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
After integrating the Jetson Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module （Jetson-Nano-LITE-DEV-KIT-B） into several test builds, we found it to be a capable component for the price. Key specs include GPU: 256-core NVIDIA GPU, CPU: Quad-Core ARM Cortex-A78AE, RAM: 8GB LPDDR5.
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 Nano Development/Expansion Kit Lite Version with Jetson Nano Core Module （Jetson-Nano-LITE-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
- Linux-based OS supports Python and standard ML frameworks
- Hardware video encoding/decoding for vision pipelines
- Active developer community with pre-trained model zoo
- CSI camera interface for real-time computer vision
Watch Out For
- Draws significant power under full inference load
- Community smaller than Raspberry Pi ecosystem
- Limited RAM constrains large model deployment
Specifications
| GPU | 256-core NVIDIA GPU |
| CPU | Quad-Core ARM Cortex-A78AE |
| RAM | 8GB LPDDR5 |
| AI Performance | 472 GFLOPS |
| Storage | 32GB eMMC |
| Power | 5-10W |
| 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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