Considerations of deploying AI services in a distributed method
draft-hong-nmrg-ai-deploy-05
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
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|---|---|---|---|
| Authors | Yong-Geun Hong , Oh Seokbeom , Joo-Sang Youn , SooJeong Lee , Seung-Woo Hong , Ho-Sun Yoon | ||
| Last updated | 2024-04-25 (Latest revision 2023-10-23) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
As the development of AI technology matured and AI technology began to be applied in various fields, AI technology is changed from running only on very high-performance servers with small hardware, including microcontrollers, low-performance CPUs and AI chipsets. In this document, we consider how to configure the network and the system in terms of AI inference service to provide AI service in a distributed method. Also, we describe the points to be considered in the environment where a client connects to a cloud server and an edge device and requests an AI service. Some use cases of deploying AI services in a distributed method such as self-driving car and digital twin network are described.
Authors
Yong-Geun Hong
Oh Seokbeom
Joo-Sang Youn
SooJeong Lee
Seung-Woo Hong
Ho-Sun Yoon
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)