Introducing Modal Auto Endpoints: Optimized inference you actually own

Modal Auto Endpoints is a feature that automatically optimizes and manages inference endpoints, allowing users to deploy machine learning models with reduced operational overhead. The service likely handles scaling, resource allocation, and performance optimization automatically while maintaining user ownership and control over the deployed infrastructure. This offering aims to simplify the process of serving ML models in production without requiring manual endpoint configuration and management.

Source: Modal Blog | 2026-06-23