The Gemstone O1 model uses the Texas Instruments AM67A microprocessor. This System on Chip (SoC) integrates a quad-core ARM Cortex®-A53 and dual-core Cortex®-R5. This means you can run operating systems like Linux on the A53 cores while simultaneously running MCU projects (Baremetal, FreeRTOS, Zephyr RTOS) on the Cortex®-R5 cores. The AM67A model features a dual-core C7x DSP chip that serves as a hardware accelerator for deep learning. The image below shows some key features of this SoC.Documentation Index
Fetch the complete documentation index at: https://docs.t3gemstone.org/llms.txt
Use this file to discover all available pages before exploring further.
Resources
Resources
| Website | Description |
|---|---|
| https://www.ti.com/product/AM67A | Texas AM67A product page |
| https://www.ti.com/tool/PROCESSOR-SDK-AM67 | Texas AM67A SDK |
| https://software-dl.ti.com/jacinto7/esd/processor-sdk-linux-am67/latest/exports/docs/devices/J7_Family/linux/index.html | SDK Documentation |
| https://software-dl.ti.com/jacinto7/esd/processor-sdk-rtos-j722s/11_00_00_06/exports/docs/psdk_rtos/docs/user_guide/index.html | Documentation for Jacinto models including AM67A |
| https://github.com/TexasInstruments/edgeai | Edge-AI main github repo |
| https://github.com/TexasInstruments/edgeai-tidl-tools | Tools for Edge-AI artificial intelligence projects |
| https://github.com/TexasInstruments/edgeai-robotics-sdk | Edge-AI Robotics SDK |
| https://software-dl.ti.com/jacinto7/esd/edgeai-sdk-j721e/latest/exports/docs/index.html | Edge-AI Documentation |
The T3 Foundation Gemstone Community is working to address these limitations
for the Gemstone development board, with updates being published to Github repositories.

