Infrastructure / Edge AI hardware

Texas Instruments AM67A

A Texas Instruments edge-AI vision SoC built on a quad Arm Cortex-A53 CPU at 1.4 GHz plus dual C7x DSP cores with Matrix Multiply Accelerators delivering 4 TOPS of deep-learning performance. On 16nm FinFET, it integrates a multi-camera ISP (up to 4 CSI-2 inputs), PCIe Gen3, and Gigabit Ethernet with TSN, supporting up to 8GB LPDDR4. It is supported by TI's Processor SDK and Edge AI Studio and is the chip behind the BeagleY-AI SBC.

Verified live 2026-06-22 via primary sources. Public datasheet and open SDK/TIDL tools on GitHub, commercially active, but proprietary silicon and firmware keep it short of fully open hardware.

Openness

3 high confidence

3.0

schematics: partial (reference designs (BeagleY-AI board files open))
toolchain: open (open SDK + TIDL tools + Edge AI Studio)
datasheets: public (Rev B)
blobs: required (proprietary silicon + TIDL firmware)
retail: distributor (active via TI and partners)

Public datasheet and open SDK/TIDL tools on GitHub, commercially active, but proprietary silicon and firmware keep it short of fully open hardware.

https://www.ti.com/product/AM67A recorded 2026-06-22
official page: 4 TOPS C7x+MMA, quad A53, public datasheet, ACTIVE status, SDKs
https://github.com/TexasInstruments/edgeai-tidl-tools recorded 2026-06-22
open source TIDL deep-learning toolchain for AM67A-class processors

Adoption

3 high confidence

3.0

ACTIVE production part available from TI and distributors, and the basis of the widely sold BeagleY-AI board, giving solid commercial and community reach.

https://www.beagleboard.org/boards/beagley-ai recorded 2026-06-22
AM67A powers the BeagleY-AI SBC

Capability

4 high confidence

4.0

4 TOPS plus a strong vision/ISP pipeline and 8GB memory make it a capable dedicated edge-AI vision SoC.

https://www.ti.com/product/AM67A recorded 2026-06-22
4 TOPS deep-learning, quad A53, 8GB LPDDR4, 600MP/s ISP

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