Multi-cloud deployment is the practice of running an application, AI model, or digital service across two or more cloud computing platforms. Workloads can be distributed based on factors such as performance, cost, availability, security, or regional requirements. Cloud orchestration tools and APIs help manage resources, configure environments, move workloads, and maintain consistent operations across different providers.
For example, an organization may deploy an AI application across two cloud platforms so that one environment can continue serving users if another experiences an outage. This approach can improve availability, flexibility, and resource management while reducing reliance on a single provider. It is commonly used for AI services, enterprise applications, data processing, disaster recovery, and globally distributed systems.
