BEAGLEBOARD.ORG® LAUNCHES BEAGLEBONE® AI

BeagleBoard.org® Launches BeagleBone® AI, Offering a Fast Track to Getting Started with Artificial Intelligence at the Edge.

The BeagleBoard.org® Foundation today announces general availability of the newest, fastest, most powerful BeagleBoard.org® BeagleBone® low cost development board yet, and it’s driving a whole new AI revolution. Built on our proven open source Linux approach, BeagleBone® AI fills the gap between small single board computers (SBCs) and more powerful industrial computers. Leveraging the Texas Instruments Sitara™ AM5729 processor, developers have access to powerful machine learning capabilities with the ease of the BeagleBone® Black header and mechanical compatibility.

BeagleBone® AI makes it easy to explore how artificial intelligence (AI) and machine learning can be used in everyday life. Through BeagleBone® AI, developers can take advantage of the TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores on the Sitara AM5729 processor. Machine learning is supported by an optimized TI Deep Learning (TIDL) software framework and pre-installed software tools. Downloading and running the latest examples of edge inference algorithms and applications is only a few clicks away.

“This board is the answer to our community’s request to see the next major advancement in the BeagleBone® family” says Jason Kridner, co-founder of the BeagleBoard.org® Foundation. “Its feature set is jam packed and offers capabilities unparalleled by any other single board computer, open hardware or not.”

BeagleBone® AI Has A Feature Set That Includes:

  • BeagleBone® Black mechanical and header compatibility
    • Works with existing BeagleBoard.org® BeagleBone® cape add-on boards and many available third-party cape add-on boards and enclosures
  • 1GB RAM and 16GB on-board eMMC flash with a high-speed interface
  • USB Type-C for power and superspeed dual-role controller; and USB Type-A host
  • Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth 4.2/BLE
  • microHDMI video and audio output
  • Zero-download out-of-box software experience
  • TI Sitara™ AM5729 processor with:
    • Dual 1.5GHz Arm® Cortex®-A15 microprocessor subsystem
    • 2 C66x Floating-Point VLIW DSPs
    • 4 Embedded Vision Engines (EVEs) supported by the TIDL software framework library for machine learning
    • 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 and subsystem management
    • IVA-HD subsystem with support for 4K at 15fps H.264 encode/decode and other codecs at 1080p60
    • Vivante® GC320 2D graphics accelerator
    • Dual-Core PowerVR® SGX544™ 3D GPU

Read more: BEAGLEBOARD.ORG® LAUNCHES BEAGLEBONE® AI


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Muhammad Bilal

I am a highly skilled and motivated individual with a Master's degree in Computer Science. I have extensive experience in technical writing and a deep understanding of SEO practices.

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