Switching to Hugging Face Inference Endpoints — simplifying ML model deployment

AI Impact Summary

The team is migrating from a custom ECS-backed inference solution to Hugging Face Inference Endpoints to simplify model deployment and reduce operational overhead. This shift leverages Hugging Face Hub for model hosting and offers a managed service, eliminating the need for managing containerized deployments and associated infrastructure. The cost increase of 24-50% is justified by the significant time savings and reduced cognitive load, particularly for teams without dedicated MLOPs resources.