Build AI Data Center Fabrics From Design Intent

Design-driven automation for AI data center fabrics aims to manage not only initial switch configurations but also the topology, addressing, standards, resource allocations, and change history behind large, evolving networks. Infrahub supports this model by storing design intent and generated infrastructure together as versioned, structured data, enabling teams to generate configurations, validate and review changes, coordinate shared IP and ASN resources, and deploy through existing tools such as Ansible or Nornir. Its open-source AI Data Center reference design demonstrates a modular approach for five-stage Clos fabrics, using Fabric, Pod, Rack, and overlay Generators to create physical infrastructure, EVPN/VXLAN services, configurations, and cabling plans for Cisco, Arista, and Dell environments. The same design model supports Day Two operations such as adding racks, pods, tenants, or updated standards through branch-based changes, CI validation, diff review, and controlled merging. The reference implementation includes schemas, generators, resource pools, templates, sample data, and setup tooling, offering both an evaluable demonstration and a customizable foundation rather than a prescriptive or certified network design.

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