High Performance Workloads and Network Congestion

This white paper discusses the challenges posed by network congestion on high-performance compute (HPC) workloads. It outlines how enterprises and scientific communities rely on HPC for advancements in fields such as artificial intelligence and astrophysics, but face significant delays and unpredictability due to network congestion. The paper details the inadequacies of traditional network architectures, which were designed over 20 years ago and are not equipped to handle the demands of modern HPC workloads. It explains that adding switches or increasing bandwidth often fails to resolve congestion, as these strategies do not address the underlying architectural issues. The document highlights the need for a new network architecture that minimizes latency and supports the growing demands of HPC applications. It also examines the types of congestion that occur and their impact on workload performance, emphasizing the importance of understanding network behavior under load to improve efficiency and reduce costs.