I-D Action: draft-xu-idr-fare-08.txt

Internet-Draft draft-xu-idr-fare-08.txt is now available. It is a work item of
the Inter-Domain Routing (IDR) WG of the IETF.

   Title:   Fully Adaptive Routing Ethernet using BGP
   Authors: Xiaohu Xu
            Shraddha Hegde
            Keyur Patel
            Zongying He
            Hang Wu
   Name:    draft-xu-idr-fare-08.txt
   Pages:   13
   Dates:   2026-08-17

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, as
   well as visual and video data, and often consist 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 becomes increasingly critical for large-scale
   AI model training.  Therefore, adaptive routing is necessary to
   dynamically distribute traffic to the same destination across
   multiple equal-cost paths, based on network capacity 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-08

A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-xu-idr-fare-08

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


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