Running Privacy-Preserving Inferences on Hugging Face Endpoints with Concrete ML

AI Impact Summary

Zama’s Concrete ML enables encrypted inference on Hugging Face Endpoints by deploying pre-compiled FHE models (e.g., concrete-ml-encrypted-decisiontree) via a custom EndpointHandler. The workflow runs on CPU-only HF Endpoints (up to 8 vCPUs) with keys stored in RAM, which introduces memory and latency constraints for production workloads. Operational costs require disciplined endpoint lifecycle management (pause/delete) to avoid runaway charges, and client-side setup includes environment provisioning and Python 3.10 dependencies.