Multi-Model Endpoints

Multi-Model Endpoints are a way for cloud-based systems to efficiently host multiple machine learning models in a single, shared environment. Instead of setting up separate resources for each model, this setup allows multiple models to coexist and be accessed through one endpoint. When a request comes in, the system dynamically finds and runs the appropriate model. This approach reduces costs, simplifies management, and improves scalability, making it easier for organizations to serve various machine learning applications seamlessly from a unified platform.