Welcome to new site for BeagleBoard.org docs!

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