AI Potluck
Infrastructure / Edge AI hardware

BeagleY-AI

BeagleBoard.org Foundation

An open source single-board computer (SBC) from the BeagleBoard.org Foundation, built around the Texas Instruments AM67A vision processor. It pairs a quad-core Cortex-A53 CPU at 1.4 GHz with a TI C7x deep-learning accelerator subsystem (dual C7x DSP + MMA) rated at up to 4 TOPS, an IMG BXS GPU, and Cortex-R5 real-time cores, with 4GB LPDDR4 and a 40-pin Raspberry Pi-compatible header (~$72). It is OSHWA-certified and targets vision, robotics, and smart cameras.

Verified live 2026-06-22 via primary sources. Full board design files published under Creative Commons and OSHWA-certified with an open toolchain and public datasheet, though proprietary AM67A silicon and firmware blobs are a caveat.

Openness

5 high confidence
5.0
schematics
open (schematics + 3D/mechanical files, CC-BY/CC-BY-SA-4.0, OSHWA-certified US002616)
toolchain
open (open Linux/U-Boot BSP)
datasheets
public (public TI AM67A datasheet)
blobs
required (TI DSP/WiFi firmware blobs a caveat)

Full board design files published under Creative Commons and OSHWA-certified with an open toolchain and public datasheet, though proprietary AM67A silicon and firmware blobs are a caveat.

Adoption

4 medium confidence
4.0

In stock at $71.99 with volume pricing at Seeed and orderable via TI, backed by the established BeagleBoard.org community, though recent (2024) so installed base trails Raspberry Pi.

Capability

3 high confidence
3.0

4 TOPS plus an IMG BXS GPU suits edge vision and quantized CNNs, but fixed 4GB RAM and modest TOPS rule out large LLMs.

Unchanged since 2026-08-01 (last edited, not re-checked)