I-D Action: draft-xu-idr-fare-01.txt

internet-drafts@ietf.org Tue, 23 July 2024 12:10 UTC

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Internet-Draft draft-xu-idr-fare-01.txt is now available.

   Title:   Fully Adaptive Routing Ethernet using BGP
   Authors: Xiaohu Xu
            Shraddha Hegde
            Zongying He
            Junjie Wang
            Hongyi Huang
            Qingliang Zhang
            Hang Wu
            Yadong Liu
            Yinben Xia
            Peilong Wang
            Tiezheng
   Name:    draft-xu-idr-fare-01.txt
   Pages:   11
   Dates:   2024-07-23

Abstract:

   Large language models (LLMs) like ChatGPT have become increasingly
   popular in recent years due to their impressive performance in
   various natural language processing tasks.  These models are built by
   training deep neural networks on massive amounts of text data, often
   consisting of billions or even trillions of parameters.  However, the
   training process for these models can be extremely resource-
   intensive, requiring the deployment of thousands or even tens of
   thousands of GPUs in a single AI training cluster.  Therefore, three-
   stage or even five-stage CLOS networks are commonly adopted for AI
   networks.  The non-blocking nature of the network become increasingly
   critical for large-scale AI models.  Therefore, adaptive routing is
   necessary to dynamically load balance traffic to the same destination
   over multiple ECMP paths, based on network capacity and even
   congestion information along those paths.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-xu-idr-fare/

There is also an HTMLized version available at:
https://datatracker.ietf.org/doc/html/draft-xu-idr-fare-01

A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-xu-idr-fare-01

Internet-Drafts are also available by rsync at:
rsync.ietf.org::internet-drafts

I-D Action: draft-xu-idr-fare-01.txt internet-drafts