Deploy Speech-to-Speech on Hugging Face Inference Endpoints via a custom Docker image

AI Impact Summary

Hugging Face is enabling production-grade Speech-to-Speech by packaging a cascaded VAD-STT-LM-TTS pipeline into a custom Docker image and running it on Inference Endpoints. The deployment relies on hugggingface-inference-toolkit as the base, with submodules for speech-to-speech data and fast-unidic, packaged to reduce startup latency, and exposed via a GPU-backed endpoint for scalability. Operators must manage image builds, registry pushes, endpoint configuration, and authentication tokens, trading upfront DevOps effort for scalable, multi-language S2S delivery.