Happy New Year! FYI a new draft on the Current State of the Art for Routing in AI Networks has been posted.
Comments and discussions are welcome at [email protected] -Jie > -----Original Message----- > From: Dongjie (Jimmy) <[email protected]> > Sent: Wednesday, January 8, 2025 1:01 PM > To: [email protected] > Cc: [email protected] > Subject: [rtgwg] FW: New Version Notification for > draft-dong-fantel-state-of-art-00.txt > > Happy New Year! > > FYI a new draft on the Current State of the Art for Routing in AI Networks has > been posted. > > Comments and discussions are welcome at [email protected] > > Best regards, > Jie (on behalf of coauthors) > > > -----Original Message----- > > From: [email protected] <[email protected]> > > Sent: Wednesday, January 8, 2025 12:05 PM > > To: Dan Li <[email protected]>; Dongjie (Jimmy) > > <[email protected]>; PengFei Huo <[email protected]>; > > shiqinru <[email protected]> > > Subject: New Version Notification for > > draft-dong-fantel-state-of-art-00.txt > > > > A new version of Internet-Draft draft-dong-fantel-state-of-art-00.txt > > has been successfully submitted by Jie Dong and posted to the IETF > repository. > > > > Name: draft-dong-fantel-state-of-art > > Revision: 00 > > Title: Current State of the Art for Routing in AI Networks > > Date: 2025-01-08 > > Group: Individual Submission > > Pages: 13 > > URL: > > https://www.ietf.org/archive/id/draft-dong-fantel-state-of-art-00.txt > > Status: https://datatracker.ietf.org/doc/draft-dong-fantel-state-of-art/ > > HTML: > > https://www.ietf.org/archive/id/draft-dong-fantel-state-of-art-00.html > > HTMLized: > > https://datatracker.ietf.org/doc/html/draft-dong-fantel-state-of-art > > > > > > Abstract: > > > > This document provides an overview of routing technologies that > > address the needs of traffic engineering and load balancing, with a > > focus on fast notification for example in adaptive routing. As the > > scale and complexity of networks grow, these technologies are > > becoming increasingly important when fault tolerance and rapid > > convergence are critical. The document explores existing solutions > > from both the IETF and the broader industry, highlighting their > > applicability to various use cases, including AI workloads and > > general services that demand low-latency fault recovery and dynamic > > load distribution across data center networks and inter data center. > > It also offers suggestions for potential IETF initiatives to further > > develop and standardize these techniques. > > > > > > > > The IETF Secretariat > > > > _______________________________________________ > rtgwg mailing list -- [email protected] > To unsubscribe send an email to [email protected] _______________________________________________ Lsr mailing list -- [email protected] To unsubscribe send an email to [email protected]
