Privacy-preserving Inference on Hugging Face Endpoints with Zama Concrete ML (FHE)

AI Impact Summary

Zama's Concrete ML enables privacy-preserving inferences on Hugging Face Endpoints by hosting pre-compiled FHE-friendly models behind a custom Inference Endpoint handler. This lets encrypted inputs be evaluated without exposing plaintext, but the deployment is CPU-bound (no GPUs yet) and keys are stored in RAM on the endpoint, creating memory-restart risk and limiting cross-machine sharing. Expect per-inference times around 4 seconds and consider provisioning multiple endpoints or higher CPU allocations to meet throughput while monitoring RAM and endpoint cost.