Jetson Orin Nano Super Developer Kit with 8GB RAM (Camera Kit)
AI & Compute

Jetson Orin Nano Super Developer Kit with 8GB RAM (Camera Kit)

7.4
Great/10

$855.00

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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.

GPU128-core Maxwell
CPU6-core ARM Carmel
RAM16GB LPDDR5
AI Performance100 TOPS

Our Review

The Jetson Orin Nano Super Developer Kit with 8GB RAM (Camera Kit) delivers solid performance for its category. With GPU: 128-core Maxwell, CPU: 6-core ARM Carmel, 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 Nano Super Developer Kit with 8GB RAM (Camera Kit) delivers what you need without unnecessary complexity. Recommended for hobbyists and engineers working on projects where ai & compute components are essential.

What We Like

  • Low power envelope suitable for embedded AI deployments
  • CSI camera interface for real-time computer vision
  • Runs TensorFlow Lite and ONNX models at the edge
  • Dedicated hardware acceleration for neural network inference

Watch Out For

  • Initial setup and SDK installation has a learning curve
  • Limited RAM constrains large model deployment
  • Camera interface limited to specific sensor modules

Specifications

GPU128-core Maxwell
CPU6-core ARM Carmel
RAM16GB LPDDR5
AI Performance100 TOPS
Storage32GB eMMC
Power5-10W
InterfacesUSB 3.0, DisplayPort, PCIe, CSI
7.4/10
Great

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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