Uploaded August 2026 | Updated September 2026, 1 week ago
Brandon Premo and Richard Cziva from Meta present "Physical Network Design at Scale" live at the Santa Clara Convention Center.
Physical network design—deciding how thousands of network devices and millions of fibers are distributed across data centers, racks, and failure domains—has traditionally been a manual, time-consuming process performed by design engineers.
Yet we are seeing exponentially increasing demand to fulfill the capacity required by AI workloads. At Meta, we developed Loom, a system to automate and optimize the end-to-end physical network design pipeline. Loom orchestrates two core components: a device placement component (Planogram) which places network devices across the physical floorplan subject to dimensional and failure-domain constraints; and a fiber design component, which generates end-to-end fiber connectivity satisfying the variety of connectivity patterns driven by physical constraints.
Together, these components accelerate end-to-end physical network design from months to hours, allowing us to produce more complex and efficient designs with fewer resources.
Learn more about @Scale here: atscaleconference.com
Brandon Premo and Richard Cziva from Meta present "Physical Network Design at Scale" live at the Santa Clara Convention Center.
Physical network design—deciding how thousands of network devices and millions of fibers are distributed across data centers, racks, and failure domains—has traditionally been a manual, time-consuming process performed by design engineers.
Yet we are seeing exponentially increasing demand to fulfill the capacity required by AI workloads. At Meta, we developed Loom, a system to automate and optimize the end-to-end physical network design pipeline. Loom orchestrates two core components: a device placement component (Planogram) which places network devices across the physical floorplan subject to dimensional and failure-domain constraints; and a fiber design component, which generates end-to-end fiber connectivity satisfying the variety of connectivity patterns driven by physical constraints.
Together, these components accelerate end-to-end physical network design from months to hours, allowing us to produce more complex and efficient designs with fewer resources.
Learn more about @Scale here: atscaleconference.com
