Aspects of the disclosure are presented for an elegant mechanism to allow for AI training using an AI system that is platform agnostic and eliminates the need for multi processors, e.g., CPU, VMs, OS & GPU based full stack software AI frameworks. The AI system may utilize an asynchronous or file system interface, allowing for a send/drop interface of an input data file to automatically run training or inference of an AI solution model. Existing AI solutions would require multi machine learning, deep learning frameworks, and/or one or more SDKs to run to run on CPU, GPU and accelerator environments. The present disclosures utilize special AI hardware that does not rely on such conventional implementations.
LIGHTWEIGHT, HIGHSPEED AND ENERGY EFFICIENT ASYNCHRONOUS AND FILE SYSTEM-BASED AI PROCESSING INTERFACE FRAMEWORK