With the rapid growth of artificial intelligence (AI) workloads in datacenters, the Ultra Ethernet Consortium (UEC) has defined a new high-performance transport layer to deliver the required performance at scale. A core component of this new standard is the Network Signal-based Congestion Control (NSCC) algorithm. This paper presents SMaRTT, the algorithm that forms the basis of the UEC NSCC specification. SMaRTT is a sender-based congestion control algorithm that systematically combines delay, Explicit Congestion Notification (ECN), and optional packet trimming into a cohesive state machine for fast, fair and precise window adjustments with seamless multipath support. At its core lies the novel QuickAdapt algorithm that accurately estimates and rapidly adapts to available capacity. Our evaluation shows that SMaRTT outperforms existing datacenter congestion control algorithms like Swift, RoCE, and MPRDMA by up to 50% and provides superior fairness, validating the design choices made in the UEC standard.
@article{arxiv.2404.01630,
title = {SMaRTT: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport},
author = {Tommaso Bonato and Abdul Kabbani and Ahmad Ghalayini and Anup Agarwal and Daniele De Sensi and Rong Pan and Costin Raiciu and Mark Handley and Mihai Brodschi and Timo Schneider and Nils Blach and Daniel Santos Ferreira Alves and Torsten Hoefler},
journal= {arXiv preprint arXiv:2404.01630},
year = {2026}
}