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Live Panel: Scale-Out Networking for AI Supercomputers#

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

Abstract

Rajiv Krishnamurthy (Meta), Joseph Provine (Meta), Andrew Dickinson (Oracle), Jim Julson (Coreweave), Jitendra Padhye (OpenAI)

  • Why: The architects behind this cycle's individual talks (MetaRoCE, MRC) plus Oracle and Coreweave in one room, comparing topology choices, congestion control at extreme scale, and network/training-framework co-design — useful as the cross-operator synthesis of the Core talks.
  • What: Practitioner panel on connecting tens of thousands of accelerators into a single tightly coupled fabric: architectures, transport protocols, and operational lessons behind supercomputer-scale AI training networks. (from abstract only)
  • How: Live discussion, not a presented technique.
  • Where applicable: Frontier-lab and hyperscaler scale; expect org-specific positions. The value is comparative — where the panelists' approaches converge (multipath, endpoint intelligence) and where they genuinely disagree — rather than new techniques.