Network Header Compression for Converged AI Network

We envision the scale-up, scale-out, and scale-across networks for AI computing would eventually converged. The draft describes a scheme for L3 packet header compression in converged AI networks where IPv6 are assumed to be the L3 protocol, and a unified fabric supports all kinds of traffic. The header size can be reduced to 8 octets for packets transferred with a single super-node, representing 80% overhead saving. The document discusses the motivation, requirements, benefits, and feasibility in addition to the header format proposal.