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Lessons learned from GW-scale AI deployments#

OCP Global Summit 2026 digest Program Core pick 12–15 October 2026

Abstract Recording

Mark Filer (Oracle)

Play the recording: Lessons learned from GW-scale AI deployments

  • Why: An end-user case study with production statistics on one of the world's largest 800G 2xDR4 LPO deployments — exactly the real-numbers, real-failure-mode content this PM values over vendor demos.
  • What: Hard-won operational learnings from OCI's deployments supporting top AI customers at 10,000+ GPU scale, where single link flaps stall multi-million-dollar training jobs; includes production statistics on the LPO deployment and how the experience translates to 1.6T (from abstract only).
  • How: Operational discipline at "laws of large numbers" scale — treating per-link instability as the primary availability adversary, with forward-looking paths to uptime/resilience in massive distributed systems.
  • Where applicable: OCI-specific production data, but the failure-mode taxonomy and the 800G→1.6T extrapolation are relevant to any operator of GPU backbones; pairs naturally with the LPO talk above as the customer-side view.