AI Mesh is a distributed architecture that connects multiple AI models, services, data sources, and computing environments so they can work together as a coordinated system. Rather than relying on one centralized AI model, an AI mesh can route tasks to specialized models or resources based on factors such as capability, location, workload, and latency.
This approach is useful for organizations running diverse AI workloads across cloud, on-premises, and edge environments. It can support model interoperability, workload distribution, data sharing, and flexible scaling, allowing different AI components to collaborate while remaining independently managed.
