Raspb Pi 5 AI Kit, Including PI5-4GB Board, Hailo-8 M.2 AI Accelerator Module, PCIe to M.2 HAT+, PI5-IMX219-77 Camera, 64GB TF Card, Pi5 Cooler, Cables and Other Accessories Items (PI5-4GB AI Kit B)
AI & Compute

Raspb Pi 5 AI Kit, Including PI5-4GB Board, Hailo-8 M.2 AI Accelerator Module, PCIe to M.2 HAT+, PI5-IMX219-77 Camera, 64GB TF Card, Pi5 Cooler, Cables and Other Accessories Items (PI5-4GB AI Kit B)

6.9
Good/10

$521.99

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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.

ProcessorHexa-Core ARM big.LITTLE
RAM1GB DDR3
StorageMicroSD (up to 128GB)
ConnectivityWiFi + BLE + Ethernet

Our Review

The Raspb Pi 5 AI Kit, Including PI5-4GB Board, Hailo-8 M.2 AI Accelerator Module, PCIe to M.2 HAT+, PI5-IMX219-77 Camera, 64GB TF Card, Pi5 Cooler, Cables and Other Accessories Items (PI5-4GB AI Kit B) delivers solid performance for its category. With Processor: Hexa-Core ARM big.LITTLE, RAM: 1GB DDR3, Storage: MicroSD (up to 128GB), 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 Raspb Pi 5 AI Kit, Including PI5-4GB Board, Hailo-8 M.2 AI Accelerator Module, PCIe to M.2 HAT+, PI5-IMX219-77 Camera, 64GB TF Card, Pi5 Cooler, Cables and Other Accessories Items (PI5-4GB AI 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

  • Runs TensorFlow Lite and ONNX models at the edge
  • GPIO header for connecting sensors and actuators
  • Hardware video encoding/decoding for vision pipelines
  • Dedicated hardware acceleration for neural network inference

Watch Out For

  • Draws significant power under full inference load
  • Requires active cooling or heatsink for sustained workloads
  • Limited RAM constrains large model deployment

Specifications

ProcessorHexa-Core ARM big.LITTLE
RAM1GB DDR3
StorageMicroSD (up to 128GB)
ConnectivityWiFi + BLE + Ethernet
Video OutputMini-HDMI
Power12V / 2A barrel jack
6.9/10
Good

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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