BeagleBoard BeagleBone AI-64, System Reference Manual

Page: 22 / 45

Chapter 4. BeagleBone AI-64 Overview
BeagleBone AI-64 is the latest addition to BeagleBoard.org family and like its predecessors, is
designed to address the open-source Community, early adopters, and anyone interested in a low
cost 64-bit Dual Arm® Cortex®-A72 processor based Single Board Computer (SBC).
It has been equipped with a minimum set of features to allow the user to experience the power of
the processor and is not intended as a full development platform as many of the features and
interfaces supplied by the processor are not accessible from BeagleBone AI-64 via onboard support
of some interfaces. It is not a complete product designed to do any particular function. It is a
foundation for experimentation and learning how to program the processor and to access the
peripherals by the creation of your own software and hardware.
It also offers access to many of the interfaces and allows for the use of add-on boards called capes,
to add many different combinations of features. A user may also develop their own board or add
their own circuitry.
BeagleBone AI-64 is manufactured and warranted by partners listed at https://beagleboard.org/logo
for the benefit of the community and its supporters including the current BeagleBoard.org
Foundation board members
• Jason Kridner, principal of JK Embedded Consulting an independent contractor and architect
for new Beagle designs.
• Drew Fustini, independent Linux developer
• Robert Nelson, applications engineer at Digi-Key
• Mark Yoder, professor at Rose-Hulman Institute of Technology
• Kathy Giori, product engineer at ZEDEDA
See bbb.io/about
BeagleBone AI-64 has been designed by Seeed Studio (Seeed Development Limited) under guidance
from BeagleBoard.org Foundation.
4.1. BeagleBone Compatibility
The board is intended to provide functionality well beyond BeagleBone Black or BeagleBone AI,
while still providing compatibility with BeagleBone Black’s expansion headers as much as possible.
There are several significant differences between the three designs.
Feature AI-64 AI Black
SoC TDA4VM AM5729 AM3358
Arm
CPU Cortex-A72 (64-bit) Cortex-A15 (32-bit) Cortex-A8 (32-bit)
20