Coral Dev Board Mini
Best compact accelerator for developers building local machine learning applications.
A compact, efficient platform for running on-device machine learning models without needing constant cloud connectivity. It balances processing power with low energy consumption, making it an ideal choice for vision-based AI prototyping and embedded system development.
$128.85
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RS Components
Who it's for
- Developers needing fast local AI processing on a small budget
- Engineers building portable or embedded smart devices
- Software researchers familiar with the Google AI ecosystem
Who should skip it
- Power users requiring heavy multitasking or massive data throughput
- Beginners looking for plug-and-play compatibility with any AI model
- Users needing high-performance general computing alongside AI tasks
Performance breakdown
Inference Speed
The dedicated Edge TPU delivers rapid, real-time machine learning performance.
Power Efficiency
Low power draw makes it ideal for battery-operated, remote deployments.
Prototyping Versatility
Diverse connectivity and GPIO headers support a wide range of projects.
Software Readiness
Mendel Linux provides a stable, familiar environment for immediate development.
Compact Form Factor
Small footprint fits easily into tight, space-constrained hardware enclosures.
Vision Capability
Camera support and hardware acceleration excel at computer vision tasks.
Key Specs
Processor
MediaTek 8167s Quad-core ARM Cortex-A35
RAM
2048 MB
Flash Memory
8192 MB
ML Accelerator
Google Edge TPU (4 TOPS)
Connectivity
Wi-Fi 5, Bluetooth 5.0
GPIO
40-pin expansion header
Interfaces
USB 2.0 Type-C, HDMI 1.4a, MIPI CSI, MIPI DSI
Operating System
Mendel Linux
Power Consumption
2 watts
Know before you buy
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