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Methodology and Observation of Congestion Control Impact on MoE Training Job Completion Time#

OCP Global Summit 2025 digest Program Adjacent pick 13–16 October 2025

Abstract Recording

Speakers: Alex Bortok (Keysight)

Play the recording: Methodology and Observation of Congestion Control Impact on MoE Training Job Completion Time

  • Why: A methodology talk rather than a vendor pitch: how to emulate an AI fabric and measure the effect of congestion-control and load-balancing schemes on MoE training JCT — useful for anyone building test harnesses before spending production GPUs on it.
  • What: An emulation technique and methodology to quantify AI network fabric performance for Mixture-of-Experts training, comparing the impact of different congestion control and load-balancing schemes. (from abstract only)
  • How: Lab emulation of GPU-cluster fabrics running MoE workloads, with JCT as the outcome metric across congestion control / load balancing configurations.
  • Where applicable: Test-lab methodology (Keysight tooling implied) — vendor-presented, so expect the tool to feature, but the emulation-vs-production calibration questions are worth taking into the room.