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 AI training data to GPUs using IOWN technology to reduce training time, power consumption, and cost. Next, the technical evaluation criteria are specified to verify the technology readiness of IOWN technologies required for these use cases.

Related projects

Events

Meet the IOWN Global Forum

Members of the Forum gather regularly and speak at industry conferences and events. Find out where you can interact with us next.

Newsletter

Stay up to date

The Forum publishes an informational newsletter and shares industry updates periodically with the latest news, events, and technical information. 

MEMBERSHIP

Join the movement

Join best-in-class partners committed
to solving challenges in creating the next-generation communications infrastructure of tomorrow.

Searching...

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