Non-Minimal Path Routing for AI and Cloud Computation Networks - David Wong, Claruspon Systems, Inc.#

David Wong, Founder & CEO, Claruspon Systems, Inc.

• Why: AI clusters are already straining single-datacenter limits (power, scale), and the field is actively debating Clos vs. Dragonfly/Dragonfly+ with non-minimal path routing for million-GPU-scale fabrics. This is exactly the topology/routing design space the PM works in.
• What: An analysis of Clos vs. mesh/Dragonfly topologies through a path-diversity/congestion model, a review of recent non-minimal-path-routing proposals (2023, Dragonfly/Dragonfly+) and of AI-workload topology findings (e.g., Meta/MIT), plus tentative designs for large-scale AI networks targeting low latency, low congestion, zero loss, and high bisection bandwidth. (from abstract only)
• How: Models path diversity as the congestion lever, examines how non-minimal routing interacts with (e)BGP as the fabric protocol, and applies those findings to propose Dragonfly/Dragonfly+ variants suited to multi-datacenter AI resource aggregation (driven by per-site power limits).
• Where applicable: Design-stage guidance for AI/cloud fabric architects; explicitly multi-DC-spanning AI clusters. Vendor (single-founder company) perspective with patents in this space — treat the proposals as analysis-informed design sketches rather than validated deployments.