
Jetson Nano Development/Expansion Kit Compatible with Both Jetson Nano and Jetson Xavier NX Alternative Solution of B01 Kit Optional Jetson Nano Core Module(Jetson-Nano-DEV-KIT-C)
$393.39
Disclosure: CircuitTrail earns from qualifying purchases as an Amazon Associate. Prices and availability may change.
“A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.”
Our Review
For $393.39 CAD, the Jetson Nano Development/Expansion Kit Compatible with Both Jetson Nano and Jetson Xavier NX Alternative Solution of B01 Kit Optional Jetson Nano Core Module(Jetson-Nano-DEV-KIT-C) packs respectable specs: GPU: 256-core NVIDIA GPU, CPU: Quad-Core ARM Cortex-A78AE, RAM: 4GB LPDDR4. 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.
For the price point, the Jetson Nano Development/Expansion Kit Compatible with Both Jetson Nano and Jetson Xavier NX Alternative Solution of B01 Kit Optional Jetson Nano Core Module(Jetson-Nano-DEV-KIT-C) 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
- GPIO header for connecting sensors and actuators
- Low power envelope suitable for embedded AI deployments
- Hardware video encoding/decoding for vision pipelines
Watch Out For
- Requires active cooling or heatsink for sustained workloads
- Initial setup and SDK installation has a learning curve
- Camera interface limited to specific sensor modules
Specifications
| GPU | 256-core NVIDIA GPU |
| CPU | Quad-Core ARM Cortex-A78AE |
| RAM | 4GB LPDDR4 |
| AI Performance | 40 TOPS |
| Storage | MicroSD |
| Power | 15-30W |
| Interfaces | USB 3.0, HDMI, CSI, GPIO |
The Verdict
“A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.”



