Multi-Cloud AI refers to using artificial intelligence systems, services, or workloads across multiple cloud computing providers rather than relying on a single platform. Organizations can distribute models, data, computing resources, and AI applications between different cloud environments. This approach can involve moving workloads between providers or assigning different tasks to the platform best suited for them.
For example, a company might train an AI model on one cloud provider, store selected data on another, and run customer-facing applications through a third. Using multiple clouds can improve flexibility, resilience, and access to different AI capabilities. It is useful for organizations seeking to manage costs, avoid dependence on one provider, meet regional requirements, and support scalable AI workloads.
