GSI Technology rolls out servers for facial recognition and re-identification

GSI Technology has released Leda-E and Leda-S for the processing of huge datasets and high-performance computation in areas like facial recognition, object detection, and re-identification.

These server boards leverage the compute-in-memory architecture of the Associative Processing Unit (APU) and parallel processing capabilities to tackle complex applications. The company says that this is a differentiator from traditional processors that use sequential processing.

GSI Technology's Gemini APU, a proprietary compute-in-memory processor, is designed to perform parallel processing and replace conventional processors, …

applications architecture biometric r&d biometrics at the edge biometrics news boards capabilities computation compute datasets detection facial facial recognition high identification memory object parallel performance recognition re-identification server servers technology the company