Application

Remote GPU

Transforming AI training through remote graphics processing unit (GPU) service by leveraging open Open All-Photonics Networks (Open APNs) to reduce latency, cut power consumptions, and enhance data security, enabling faster, more efficient AI development.

Open APNs will revolutionize Generative AI and Large Language Model (LLM) training by enabling ultra-fast, energy-efficient data transmission between user locations and green data centers equipped with high-performance GPU computing.

Open APNs will revolutionize Generative AI and Large Language Model (LLM) training by enabling ultra-fast, energy-efficient data transmission between user locations and green data centers equipped with high-performance GPU computing.

This infrastructure supports seamless transfer of large training datasets, dynamic on-demand access to GPU resources, and secure handling of sensitive data, optimizing training time, reducing power consumption, and ensuring sustainable, scalable AI operations with advanced cooling and green power systems.

This infrastructure supports seamless transfer of large training datasets, dynamic on-demand access to GPU resources, and secure handling of sensitive data, optimizing training time, reducing power consumption, and ensuring sustainable, scalable AI operations with advanced cooling and green power systems.

50 x

Lower power consumption

50 x

Higher transmission capacity

100 x

Lower end-to-end latency

50

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Resources

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

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...

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