ARM-based Single Board Computers (SBCs) have become a staple for students, researchers, and hobbyists, thanks to their affordability and capability to facilitate embedded application development. As the SBC landscape grows, popular options like the ODROID-M1 board and Home Assistant Yellow continue to offer diverse CPU configurations to enhance AI capacities.
While ARM-based SBCs present an ideal solution for developing low-cost edge AI applications, the demand for powerful, efficient AI hardware accelerators is evident. These accelerators should tackle compute limitations, SRAM space, and model compatibility while offering comprehensive software support for streamlined development.
DeGirum, a prominent player in the Edge AI Accelerator space, steps up to meet this demand by providing its Orca-NNX AI hardware accelerator and PySDK. This formidable combo not only boosts the AI capabilities of SBCs but also ensures rapid prototyping and versatile applications.
The Orca accelerator brings improved compute capacity, dedicated DRAM support for model multiplexing, and a flexible architecture that caters to diverse model types. Coupled with the user-friendly PySDK, developers can prototype applications swiftly, tapping into potential applications in computer vision, industrial automation, and speech recognition.
This partnership promises a new era of AI-enabled edge computing, bringing powerful AI acceleration to the fingertips of developers everywhere.
