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)
AI & Compute

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)

7.5
Great/10

$393.39

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A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.

GPU256-core NVIDIA GPU
CPUQuad-Core ARM Cortex-A78AE
RAM4GB LPDDR4
AI Performance40 TOPS

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

GPU256-core NVIDIA GPU
CPUQuad-Core ARM Cortex-A78AE
RAM4GB LPDDR4
AI Performance40 TOPS
StorageMicroSD
Power15-30W
InterfacesUSB 3.0, HDMI, CSI, GPIO
7.5/10
Great

The Verdict

A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.

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