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Anatomy of @scale Machine Learning Network Operations#

@Scale: Networking 2026 digest Program Adjacent pick 25 August 2026

Abstract

Jim Julson (Coreweave)

  • Why: Operating — not just designing — ML networks is where transferable lessons live, and Coreweave runs GPU infrastructure at AI-cloud scale. Caveat: the published abstract is contentless ("a journey through the operational challenges and nuances"), so substance cannot be assessed from the program; included for topic relevance and speaker position.
  • What: The operational challenges and nuances of machine learning and AI infrastructure networks at Coreweave — no specifics beyond that framing are available. (from abstract only)
  • How: Not described in the abstract.
  • Where applicable: Coreweave's GPU cloud — expect operator-specific experience. Worth attending for potential postmortem and operational content, but nothing in the program substantiates it yet; judge from the recording.