Hi Xiaohu, One way of achieving this would be to use the Unreserved Bandwidth TLV (https://datatracker.ietf.org/doc/html/rfc5305#autoid-10) to report the unused bandwidth on a link.
Then, you would have to explain how this does not become an oscillator. I’m not optimistic. Regards, Tony > On Nov 23, 2023, at 8:27 AM, [email protected] wrote: > > Hi all, > > Any comments or suggestions are welcome. > > Best regards, > Xiaohu > > > > 发件人: [email protected] <[email protected]> > 日期: 星期五, 2023年11月24日 00:13 > 收件人: Xiaohu Xu <[email protected]> > 主题: New Version Notification for draft-xu-lsr-fare-00.txt > > A new version of Internet-Draft draft-xu-lsr-fare-00.txt has been successfully > submitted by Xiaohu Xu and posted to the > IETF repository. > > Name: draft-xu-lsr-fare > Revision: 00 > Title: Fully Adaptive Routing Ethernet > Date: 2023-11-22 > Group: Individual Submission > Pages: 7 > URL: https://www.ietf.org/archive/id/draft-xu-lsr-fare-00.txt > Status: https://datatracker.ietf.org/doc/draft-xu-lsr-fare/ > HTMLized: https://datatracker.ietf.org/doc/html/draft-xu-lsr-fare > > > 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 Secretariat > > > _______________________________________________ > Lsr mailing list > [email protected] > https://www.ietf.org/mailman/listinfo/lsr
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