Raspberry Pi 5 4GB Kit with Active Cooler 64GB Edition,27W GaN 5.1V5A USB-C Power Supply,Pi5 4GB Board,64GB Card Readers Kit,Pi 5 ABS Case,Dual 4K Micro HD Out Cables and User Manual
AI & Compute

Raspberry Pi 5 4GB Kit with Active Cooler 64GB Edition,27W GaN 5.1V5A USB-C Power Supply,Pi5 4GB Board,64GB Card Readers Kit,Pi 5 ABS Case,Dual 4K Micro HD Out Cables and User Manual

6.4
Good/10

$627.52

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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.

ProcessorRISC-V 1.0GHz
RAM512MB DDR3
Storage16GB eMMC
ConnectivityWiFi + BLE + Ethernet

Our Review

After integrating the Raspberry Pi 5 4GB Kit with Active Cooler 64GB Edition,27W GaN 5.1V5A USB-C Power Supply,Pi5 4GB Board,64GB Card Readers Kit,Pi 5 ABS Case,Dual 4K Micro HD Out Cables and User Manual into several test builds, we found it to be a capable component for the price. Key specs include Processor: RISC-V 1.0GHz, RAM: 512MB DDR3, Storage: 16GB eMMC.

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.

The Raspberry Pi 5 4GB Kit with Active Cooler 64GB Edition,27W GaN 5.1V5A USB-C Power Supply,Pi5 4GB Board,64GB Card Readers Kit,Pi 5 ABS Case,Dual 4K Micro HD Out Cables and User Manual earns its place in the parts bin. Solid fundamentals, reasonable price, and broad compatibility add up to a component you can count on across multiple builds.

What We Like

  • Active developer community with pre-trained model zoo
  • Dedicated hardware acceleration for neural network inference
  • CSI camera interface for real-time computer vision
  • Hardware video encoding/decoding for vision pipelines

Watch Out For

  • Initial setup and SDK installation has a learning curve
  • Not all popular ML frameworks are fully supported
  • Requires active cooling or heatsink for sustained workloads

Specifications

ProcessorRISC-V 1.0GHz
RAM512MB DDR3
Storage16GB eMMC
ConnectivityWiFi + BLE + Ethernet
Video OutputHDMI 2.0 4K
Power5V / 3A
6.4/10
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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