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AI/LLM · AWS

Hugging Face

The model/dataset hub on AWS, storing weights as Git LFS repos over S3 and running Inference Endpoints/Spaces. Stewards open libraries (Transformers, Diffusers) — the open-source center of gravity for ML.

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

PrimaryLlama / Mistral / open models· self-hosted (Inference Endpoints) · Native (own / self-hosted weights)

Cloud & datastore

AWSS3 object storageGit LFSPostgreSQL

Compliance

SOC 2GDPR

Similar companies

AI21 LabsAleph AlphaAnthropicCohereContextual AIInflection AI
Head-to-head: Hugging Face vs AI21 LabsHugging Face vs Aleph AlphaHugging Face vs Anthropic

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More AI/LLM →Native (own / self-hosted weights) →More on AWS →

FAQ

Does Hugging Face use a foundational AI model?
Hugging Face uses Llama / Mistral / open models (Native (own / self-hosted weights)).
What cloud does Hugging Face run on?
Hugging Face runs on AWS.
What database does Hugging Face use?
Hugging Face uses S3 object storage, Git LFS, PostgreSQL.
How close does Hugging Face run to the foundational model?
Hugging Face is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

huggingface.co ↗

Also on the map

Meta · Llama

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