# Spaces (Hugging Face)

**Source:** https://promtable.com/glossary/spaces

> Spaces is Hugging Face's hosted demo platform — deploy Gradio / Streamlit / static / Docker apps as live shareable demos. The de-facto standard for ML demo + research artifact distribution in 2026.

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Spaces is Hugging Face's hosted demo platform — deploy Gradio / Streamlit / static / Docker apps as live shareable demos. The de-facto standard for ML demo + research artifact distribution in 2026.

Pre-Spaces, researchers + indie devs had to deploy demos themselves — high friction. Spaces lowered the bar: write `app.py` with Gradio or Streamlit, push to a Spaces repo, the demo lives at `huggingface.co/spaces/<user>/<demo>` with autoscaling + free CPU tier (paid GPU). Use cases: paper demos (let reviewers try the model), prototype ML apps without infra, A/B test models with non-technical stakeholders, share work with the ML community. Variants: ZeroGPU (free GPU bursts), Dedicated GPU (always-on), Docker Spaces (custom Dockerfile). By 2026 Spaces hosts hundreds of thousands of live ML demos — research community + indie devs default to it.

## When to use

- Paper / model demos.
- Prototype ML apps without infra.

## Common mistakes

- Production traffic on free CPU tier — gets queued / killed on load.

## Related terms

- [model-zoo](https://promtable.com/glossary/model-zoo)
- [live-preview](https://promtable.com/glossary/live-preview)

## Sources

- [HF Spaces docs](https://huggingface.co/docs/hub/spaces)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/glossary/spaces
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