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Radxa Rock 3A vs Google Coral Dev Board

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Radxa Rock 3A
Radxa Rock 3AA high-performance single-board computer powered by the Rockchip RK3568 processor.
Google Coral Dev Board
Google Coral Dev BoardA single-board computer with a removable system-on-module for edge AI applications.
Overview
Description

The Radxa Rock 3A is a versatile single-board computer designed for developers, IoT enthusiasts, and makers seeking robust computing power in a compact form factor. Equipped with a quad-core ARM Cortex-A55 processor and up to 8GB of LPDDR4 RAM, it delivers reliable performance for edge computing, media streaming, and home automation projects. Featuring comprehensive connectivity options including M.2 NVMe SSD support, Gigabit Ethernet, and multiple USB ports, the board bridges the gap between desktop-class utility and embedded hardware flexibility. It supports various Linux distributions and Android, making it an adaptable platform for prototyping and custom industrial deployments.

The Google Coral Dev Board is a powerful single-board computer designed for rapid prototyping of low-power edge AI devices. It features Google's proprietary Edge TPU coprocessor, capable of performing 4 trillion operations per second while consuming very little energy. Equipped with a complete system containing NXP i.MX 8M SoC, LPDDR4 RAM, and onboard wireless connectivity, the board runs a specialized Debian-based Linux system called Mendel. It provides developers with a complete, out-of-the-box environment to build and deploy high-performance machine learning models locally at the edge.

Pricing
Paid (One-time)
Paid (One-time)
Category
ARM Single-Board Computers
Development Boards
Best for
Developers, IoT engineers, and hardware hobbyists
Embedded AI engineers, developers, and researchers
Specifications
General
msrp
$35 - $75 depending on RAM configurationโˆ’77%
$149.99
Specifications
weight
45g
250g+456%
warranty
1 year
1 year
dimensions
85 x 56 mm
88 mm x 60 mm+4%
open source
No
No
connectivity
Gigabit Ethernet, optional Wi-Fi/Bluetooth via M.2 E Key
Gigabit Ethernet, Wi-Fi 2x2 MIMO 802.11b/g/n/ac, Bluetooth 4.2
power source
USB Powered
USB Powered
Pros & Cons
Pros
  • High-speed NVMe SSD support via M.2 slot
  • Reliable quad-core ARM performance
  • Dual display capabilities up to 4K
  • Extensive operating system support
  • High-speed local inferencing via Edge TPU
  • Removable SOM simplifies custom board design
  • Full Linux development environment
  • Low power consumption during heavy AI workloads
Cons
  • Requires separate purchase of power supply and storage
  • Limited community documentation compared to older Raspberry Pi models
  • Wi-Fi and Bluetooth require an optional module
  • Can run quite warm under sustained heavy loads
  • Limited to TensorFlow Lite models
  • Discontinued or supply-constrained availability in recent years
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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