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BeagleBone® AI-64 brings a complete system for developing artificial intelligence (AI) and machine learning solutions with the convenience and expandability of the BeagleBone® platform and the peripherals on board to get started right away learning and building applications. With locally hosted, ready-to-use, open-source focused tool chains and development environment, a simple web browser, power source and network connection are all that need to be added to start building performance-optimized embedded applications. Industry-leading expansion possibilities are enabled through familiar BeagleBone® cape headers, with hundreds of open-source hardware examples and dozens of readily available embedded expansion options available off-the-shelf.
BeagleBone® AI-64, is built on a proven open source Linux approach, bringing a massive amount of computing power to the hands of developers in an easy to use single board computer. Leveraging the Texas Instruments TDA4VM SOC with dual 64-bit Arm® Cortex®-A72, C7x DSP along with deep learning, vision and multimedia accelerators, developers have access to faster analytics, more data storage options, more high speed interfaces including all the connectors you’ll need on board to build applications such as Autonomous Robotics, Vision and Video Analytics, Hi-End Drones, Media Servers, and Smart Buildings.
BeagleBone® AI-64 brings a complete AI and Machine Learning System to developers with the convenience and expandability of the BeagleBone® platform and the peripherals on board to get started right away learning and rapidly prototyping applications.
Leveraging over a decade of success in open hardware single board Linux computers, BeagleBone® AI-64 puts a massive amount of computing power in an easy to use platform.
Note: Be sure to check out our latest AI-enabled board: BeagleY-AI
BeagleBone AI-64 like its predecessor BeagleBone AI, 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 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.
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.
This section covers the specifications and features of the board and provides a high level description of the major components and interfaces that make up the board.
This section describes the key components on the board. It provides information on their location and function. Familiarize yourself with the various components on the board.
This section describes the key components on the board, their location and function.