How can high availability be achieved for an Azure AI solution?

High availability for an Azure AI solution can be effectively achieved by utilizing Azure's load balancing and auto-scaling features. These features are designed to distribute traffic across multiple instances of your application, ensuring that no single instance becomes a point of failure. Load balancing helps in evenly distributing requests among available resources, which enhances performance and reliability, particularly during high traffic periods.

Auto-scaling further plays a crucial role by automatically adjusting the number of active instances of your application based on demand. This means that if your application experiences increased usage, Azure can spin up additional resources to handle the load. Conversely, it can scale down when usage decreases, which optimizes costs and resource usage.

Together, these capabilities ensure that your AI solution remains available and responsive, even under varying load conditions or in the event of potential failures, thus fulfilling the requirements for high availability effectively.