Outerport, a YC S24 company, has developed tooling for swapping model weights in production systems without service interruption. The capability enables live model updates and concurrent serving of multiple model versions through weight hot-swapping mechanics. For production operators, this addresses a structural constraint: current deployment patterns require service restarts or canary deployments with traffic shifting to achieve model updates. Outerport eliminates this requirement, reducing the operational overhead of A/B testing model variants and accelerating iteration cycles on weight-level changes. The approach also enables dynamic multi-model serving without replication overhead—critical for operators managing inference cost against latency requirements. Operationally, this shifts model deployment from a coordination problem into a data-plane operation. Teams can decouple model iteration from infrastructure scaling decisions and reduce the overhead of maintaining multiple inference service instances for comparison testing. The workflow change applies specifically to organizations running stateful inference endpoints where downtime carries measurable cost.