Overview
The article discusses the new Coral products launched in 2020, highlighting advancements in local AI technology and the introduction of new hardware components. Key products include the Coral Accelerator Module, Coral Dev Board Mini, and variations of the Coral System-on-Module, aimed at enhancing local AI applications across various industries.
What You'll Learn
1
How to integrate the Coral Accelerator Module into custom PCB designs
2
Why local AI is beneficial for reducing bandwidth and cloud compute costs
3
When to use the Coral Dev Board Mini for video encoding and computer vision tasks
Key Questions Answered
What new products were announced for Coral in 2020?
The article announces several new products for Coral in 2020, including the Coral Accelerator Module, Coral Dev Board Mini, and new variations of the Coral System-on-Module. These products are designed to enhance local AI applications and are showcased at CES 2020.
How does the Coral Accelerator Module improve integration into custom designs?
The Coral Accelerator Module is a multi-chip package that encapsulates the Edge TPU ASIC and exposes both PCIe and USB interfaces, making it easy to integrate into custom PCB designs. This flexibility allows developers to incorporate advanced AI capabilities into their products seamlessly.
What are the key features of the Coral Dev Board Mini?
The Coral Dev Board Mini is a smaller, lower-power, and lower-cost alternative to the Coral Dev Board. It combines the new Coral Accelerator Module with the MediaTek 8167s SoC, excelling in 720P video encoding/decoding and computer vision applications.
What variations are available for the Coral System-on-Module?
The Coral System-on-Module now offers variations with 2GB and 4GB LPDDR4 RAM, in addition to the original 1GB configuration. These variations enhance the module's applicability in smart city, manufacturing, and healthcare applications.
Technologies & Tools
Hardware
Coral
Coral products are designed for local AI applications, enabling fast inference and reduced reliance on cloud computing.
Hardware
Edge Tpu
The Edge TPU is used in the Coral Accelerator Module to facilitate efficient AI processing.
Hardware
Mediatek 8167s
This SoC is used in the Coral Dev Board Mini for enhanced video encoding and decoding capabilities.
Key Actionable Insights
1Consider integrating the Coral Accelerator Module into your next hardware project to leverage local AI capabilities.This module allows for significant reductions in bandwidth and cloud costs, making it ideal for applications requiring real-time processing.
2Explore the Coral Dev Board Mini for projects that require efficient video processing and computer vision.Its compact size and lower power consumption make it suitable for IoT applications where space and energy efficiency are critical.
3Utilize the new variations of the Coral System-on-Module to enhance performance in your AI applications.With increased RAM options, these modules can better handle complex tasks in various industries, such as healthcare and smart cities.
Related Concepts
Local AI Applications
AI Hardware Integration
Edge Computing