BeagleBoard Doubles Down with Open Source and AI
March 27, 2024
News
BeagleBoard.org is dedicated to open source and is proving it with its BeagleY-AI. The business card sized BeagleY-AI is compatible with popular accessories, add-on hardware, and enclosures, but BeagleBoard.org stays true to open source. The fanless hardware includes programmable processors capable of running 4 trillion operations per second (4 TOPS) suitable for executing deep learning algorithms.
BeagleY-AI
Texas Instruments AM67A system-on-chip (SoC)
- Quad-core 64-bit Arm CPU subsystem
- 2 general-purpose digital-signal-processors (DSP)
- Matrix-multiply-accelerators (MMA)
- Vision and deep learning accelerators
- Multiple Arm Cortex-R5 cores
Included are multiple capture and display connectivity options as well as high-speed PCIe, USB3, and Gigabit Ethernet interfaces.
According to the BeagleBoard.org Foundation, it seeks to enable researchers, engineers, and educators to be more empowered by the computing platforms they rely on.
For more information, visit beagleboard.org.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
