Open-source AI hardware solutions are often designed to be an easy and accessible way for students, hobbyists, and even professional developers, to get started with their AI application development projects. These computing platforms typically utilize an industry form factor that can further support robotics, facial recognition, touchless HMIs, and real-time automation projects.

With a new offering hitting the shelves, I thought it was a good time to catch up with Jason Kridner, the Co-Founder and Board President of BeagleBoard.org.

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Computer Boards, Systems, Components, & Peripherals category:

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.

Here are the nominees for Best in Show at the 2023 RISC-V Summit North America. 

BeagleBoard.org released its BeagleV-Fire SBC employing Microchip’s PolarFire MPFS025T FCVG484E 5x core RISC-V System on Chip (SoC) with innovative FPGA fabric. The solution comes in a small footprint with flexible I/Os that make it ideal for applications including IoT, robotics, and AI. The BeagleV-Fire is delivered with pre-installed Ubuntu for Linux compatibility.

BeagleBoard.org is now delivery its BeagleV-Ahead single board computer (SBC) based on the TH1520, a quad core 64-bit RISC-V SoC from T-Head. The SBC utilizes the open-source RISC-V instruction set architecture (ISA).