Reference Implementation Model and Proof-of-Concept Reference of Green Computing with Remote GPU

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 […]

Green Computing with Remote GPU Service for Generative AI / LLM Use Case

This document describes the use case requirements and technical evaluation criteria for remote GPU services for generative AI and LLM. After discussing GPU computing in green data centers capable of handling large-scale AI computations in recent years and the potential need to connect user data, we discuss the use case of connecting large volumes of […]

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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

This document describes the use case requirements and technical evaluation criteria for remote GPU services for generative AI and LLM. After discussing GPU computing in green data centers capable of handling large-scale AI computations in recent years and the potential need to connect user data, we discuss the