Hugging Face Inference

About Hugging Face Inference

Hugging Face was founded in 2016 and has become the central hub of the open-source AI ecosystem. The platform hosts nearly one million models across modalities—language models, embedding models, image generation, audio, video, tabular—alongside datasets, Spaces (interactive model demos), and the Transformers, Diffusers, and Datasets libraries that underpin much of modern AI research and application development. For enterprise deployment, Hugging Face Inference Endpoints provides managed, dedicated model serving infrastructure. A customer selects a model from the hub, chooses cloud provider and region (including AWS EU regions, Azure Europe, GCP Europe), selects hardware (CPU, GPU types), and Hugging Face manages the infrastructure lifecycle. The endpoint is private and isolated to the customer's environment. This architecture provides meaningful data residency controls that distinguish Inference Endpoints from simpler shared inference APIs. Hugging Face's enterprise business has grown substantially: the company has partnerships with Amazon Web Services, Microsoft Azure, Google Cloud, and NVIDIA, and has raised over $230 million in funding at a $4.5 billion valuation. Enterprise customers include large banks, pharmaceutical companies, and technology firms deploying AI on sensitive data. For European businesses, the data residency picture with Hugging Face Inference Endpoints is considerably stronger than most US-based inference providers. By selecting EU data centre regions, organisations can ensure model inference stays within the EU. Hugging Face is incorporated in the United States (Delaware) and subject to the CLOUD Act, which remains a jurisdiction risk, but EU data residency controls and GDPR data processing agreements are available. The company holds SOC 2 Type II certification and is pursuing ISO 27001. For EU businesses wanting open-source model inference with regional control, Hugging Face Inference Endpoints is one of the stronger options available.