Hi Jack,

I’ve read the draft and here are a few questions.


  1.  I’m a little confused by the claim that “Enterprise and industrial AI 
inference scenarios present unique security and compliance requirements that 
fundamentally conflict with centralized architectural approaches.”  On the 
contrary, I think the distributed architecture will introduce more challenges 
in this scenario. Perhaps you mean local inference vs. remote inference?
  2.  It’s not explicitly mentioned but how is this related to the agentic AI 
or are you only concerned with the model inference? There are more things to 
consider in the former (and the more prevalent) case.
  3.  In 5.3, why “Cryptographic protection should extend to physical layer 
transmissions”, given there are already network layer, transport layer, and 
message level security measures? What’s the physical layer security mean 
exactly?


Regards,
Haoyu

From: 宋健 <[email protected]>
Sent: Wednesday, November 5, 2025 8:32 AM
To: rtgwg <[email protected]>
Subject: [rtgwg] Re: DIN for AI inference network, all kinds of contributions 
arewelcome


add link

https://datatracker.ietf.org/doc/draft-song-rtgwg-din-usecases-requirements/




----邮件原文----
发件人:"宋健" <[email protected]<mailto:[email protected]>>
收件人:rtgwg  <[email protected]<mailto:[email protected]>>
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发送时间:2025-11-05 23:32:06
主题:DIN for AI inference network, all kinds of contributions arewelcome

Hi guys,



AI is one of the most critical application today and will domains in the 
future. At the heart of AI lie two key processes: AI training and AI inference. 
In the era of AI inference, the Internet should take on a key role. Based on 
this vision, we have submitted a draft to describe the Distributed Inference 
Network (DIN) Problem Statement, Use Cases, and Requirements 
[draft-song-rtgwg-din-usecases-requirements-00<https://datatracker.ietf.org/doc/draft-song-rtgwg-din-usecases-requirements/>].



It is not enough to cover all related problems, use cases or requirements. Any 
comment and collaboration are welcome.



Best regards,



Jian Song (Jack)

China Mobile
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