A3_HYBRID_INTELLIGENCE_TOPOLOGY
Hybrid Intelligence Topology
The platform routes inference between cloud, edge, and on-device runtimes based on latency, privacy, cost, and connectivity constraints rather than forcing all inference through a single cloud path.
Buyer consequence
Latency, privacy, cost, and connectivity constraints become routable inputs rather than architectural ceilings.
AIVAON architectural satisfaction
Section 13 Hybrid Intelligence routing decision ledger; cloud, edge, and on-device runtimes registered in a unified model registry; per-request latency and quality benchmarks select the optimal runtime.
Competitor failure mode
Cloud-only platforms cannot satisfy on-device or air-gapped requirements; on-device-only platforms cannot satisfy cloud-scale inference.