Co-Designing AI Fabrics: Inside Google's Virgo Network and the Campus-as-a-Computer#
OCP Global Summit 2026 digest Program Core pick 12–15 October 2026
Sunil Ahluwalia (Google), JK Lee (Google)
- Why: One of the few public looks inside Google's AI fabric — the architectural shift from "data center as a set of servers" to campus-scale supercomputer is the defining physical-networking problem of this cycle, and Google is unusually specific here about the transport and telemetry mechanisms.
- What: Virgo, a megascale multi-plane AI datacenter fabric running open-source SONiC, built for synchronized-burst ML traffic with a stated value proposition of predictable low latency and maximized "goodput" (from abstract only).
- How: Open-source RDMA transport (Falcon), Congestion Signaling (CSIG), and High-Speed Telemetry (HST), on a multi-plane architecture over open standards and merchant hardware ecosystems.
- Where applicable: Google-specific production design, but the constituent technologies (CSIG, HST, Falcon) are being pushed into SONiC/open ecosystems — see the Google SONiC CSIG/HST talk below, which is the deployable version of this story.
