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We believe in making computers open again to democratize technology and empower individuals and organizations to explore, experiment, and create without the constraints of proprietary systems.

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We design versatile and affordable single-board computers to provide developers, hobbyists, and educators with a platform for prototyping, experimentation, and production of embedded systems. Our comprehensive documentation, tutorials, and vibrant online community support users in their projects and foster knowledge sharing.

How are we doing it?

Through open-source hardware designs, diverse software support, and active community engagement, we enable users to customize, innovate, and collaborate effortlessly in embedded computing.

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Introduction#

Built on the proven BeagleBoard.org® open source Linux approach, BeagleBone® AI fills the gap between small SBCs and more powerful industrial computers. Based on the Texas Instruments AM5729, developers have access to the powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility. BeagleBone® AI makes it easy to explore how artificial intelligence (AI) can be used in everyday life via TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. Focused on everyday automation in industrial, commercial and home applications.

BeagleBone AI Beauty Angle

BeagleBone AI Overview#

BeagleBone AI Overview

BeagleBone® AI Features#

Main Processor Features of the AM5729 Within BeagleBone® AI#

  • Dual 1.5GHz ARM® Cortex®-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code

  • 2 C66x Floating-Point VLIW DSP supported by OpenCL

  • 4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library

  • 2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals

  • 2x Dual ARM® Cortex®-M4 co-processors for real-time control

  • IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60

  • Vivante® GC320 2D graphics accelerator

  • Dual-Core PowerVR® SGX544™ 3D GPU

Communications#

  • BeagleBone Black header and mechanical compatibility

  • 16-bit LCD interfaces

  • 4+ UARTs

  • 2 I2C ports

  • 2 SPI ports

  • Lots of PRU I/O pins

Memory#

  • 1GB DDR3L

  • 16GB on-board eMMC flash

Connectors#

  • USB Type-C connector for power and SuperSpeed dual-role controller

  • Gigabit Ethernet

  • 802.11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM

Out of Box Software#

  • Zero-download out of box software environment

Board Component Locations#

beaglebone ai component placement Connector placement front Connector placement back
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BeagleBone AI

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