This document outlines a reference implementation model and proof-of-concept (PoC) for utilizing Green Computing (GC) with remote GPU technology to enhance the time efficiency of Generative AI (GenAI) and Large Language Model (LLM) training.

Through the integration of IOWN technology and Open All-Photonic Networks (APNs), the project aims to reduce power consumption and improve the performance of data-intensive AI tasks. The PoC evaluates remote GPUs over APN to enhance AI training efficiency, security, and sustainability while reducing costs and energy