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Product Detailed Parameters
- Description：CORAL 2GB SOM
- Series：-
- Mfr：OKdo
- Package：Box
- Module/Board Type：-
- Core Processor：-
- Co-Processor：-
- Speed：-
- Flash Size：-
- RAM Size：-
- Connector Type：-
- Size / Dimension：-
- Operating Temperature：-
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Overview
The OKdo G650-05369-01 is a Google Coral System-on-Module (SoM) featuring 2 GB of RAM. It integrates the Rockchip RK3399 processor with an integrated Edge TPU for hardware-accelerated machine learning inferencing. The module provides a compact, fully-integrated solution designed to facilitate rapid development of embedded systems requiring high-performance AI capabilities.
Feature Summary
- Integrates Rockchip RK3399 SoC with dual Cortex-A72 cores and Mali-T860 GPU
- Includes dedicated Edge TPU for accelerated machine learning inference tasks
- Provides a compact, fully-integrated system-on-module architecture
- Designed specifically for embedded applications demanding fast AI processing
Applications
- Embedded machine learning inferencing systems
- Edge computing devices requiring low power consumption
- Smart vision and sensor-based IoT applications
- Rapid prototyping for AI-driven embedded projects
Procurement Notes
Verify the specific revision level against the manufacturer's documentation before integration. Ensure that the host carrier board design supports the required pinout and voltage levels for the G650-05369-01 module. Confirm compatibility with the intended operating system environment, as pre-loaded software configurations may vary by region or batch.
Selection Notes
Select this module when project requirements prioritize efficient machine learning execution at the edge over general-purpose computing. The 2 GB RAM configuration suits moderate complexity models. Consider the G650-05370-01 variant if higher memory capacity is necessary for larger datasets or more complex neural networks.
Part Context
This component belongs to the Google Coral System-on-Module family, developed in collaboration with OKdo. It is part of a broader ecosystem aimed at democratizing AI deployment on edge devices. The module serves as a core processing unit for developers building intelligent embedded solutions without managing discrete component integration.
Replacement Considerations
The G650-05370-01 is a confirmed substitute offering 4 GB of RAM within the same Coral SoM series. Both modules share the same form factor and interface specifications, allowing for potential direct replacement if increased memory bandwidth is required for the application.
FAQ
What is the primary function of the Edge TPU in this module?
The Edge TPU provides hardware acceleration for machine learning inference, enabling faster processing of neural network models compared to using the CPU alone.
Does this module come with an operating system pre-installed?
Yes, the module typically ships with Linux OS preloaded to facilitate immediate development and testing of embedded applications.
