- Tool type
- Hosted ML app directory and hosting
- Made for
- ML developers and people trying ML demos
- Runs on
- Hosted CPU and GPU environments
- Apps run on Hugging Face's infrastructure; owners choose hardware tiers from CPU Basic up to 8x RTX PRO 6000 GPUs, billed per hour.
What it does
Spaces is Hugging Face's hosting area for machine learning apps and demos. The directory lists community-built Spaces across tasks such as image generation, text generation, speech synthesis, OCR, and 3D modeling. Each entry is a running app that opens in a browser. The input is whatever the individual app accepts, such as a prompt, an uploaded image, or audio, and the output is what that app returns.
People typically browse the directory by task category or the trending list, then open an app to try it. Space owners can run on free CPU Basic hardware or upgrade to paid accelerators such as Nvidia T4, L4, A10G, A100, and RTX PRO 6000. The PRO plan adds a higher ZeroGPU quota with top queue priority, hosting for Gradio and Docker Spaces, and dev mode access over SSH or VS Code.
Spaces suits people who want to try or share ML demos without managing servers. A free account is enough to use public Spaces. Publishing a Space on paid hardware requires billing on the owner's side. Hardware is billed per hour, and ZeroGPU allowances for free accounts are not listed, so check Hugging Face before relying on them.
What it can do
- Browse a directory of ML apps and demos by task category
- Open and run public Spaces in the browser
- Run Spaces on free CPU Basic hardware
- Upgrade a Space to paid GPU hardware billed hourly or monthly
- Host Gradio and Docker Spaces with the PRO plan
Example workflows
- Trying a public image generation demo (illustrative)
- Input: a text prompt typed into a Space. Steps: find an image generation Space in the directory, open it, enter the prompt, and run it. Output: generated images returned by that Space's app.
- Running a Space on upgraded hardware (illustrative)
- Input: an existing Space and a chosen hardware tier. Steps: open the Space settings, select a GPU tier such as Nvidia L4, and confirm billing. Output: the Space restarts on the selected hardware, with hourly charges as listed on the pricing page.
Before you choose
- Paid hardware is billed per hour, and the monthly figures on the pricing page assume continuous running.
- The PRO plan's ZeroGPU quota and dev mode access apply to the account subscription, not to every Space by default.
- Directory listings are community-built apps; their behavior, model licenses, and content vary by Space.
Listed under
Get started
Visitors can open apps from the directory; the pricing page links to a Spaces start page.
- Create a Hugging Face account at https://huggingface.co/join to publish or manage Spaces.
- Create a new Space from https://huggingface.co/spaces/launch and choose the app type your project uses.
- Select CPU Basic for free hosting, or choose a paid hardware tier in the Space settings if the app needs a GPU.
Plans and prices
Prices in USDHardware for Spaces is billed per hour with monthly equivalents listed (e.g., CPU Upgrade $0.03/hour, $22/month). The pricing page does not confirm ZeroGPU allowances for free accounts. Storage and Inference Endpoints are separate products on the same page and are not part of Spaces hardware pricing.
- Host ZeroGPU, Gradio, and Docker Spaces
- 8x ZeroGPU quota and highest queue priority
- CPU Basic free
- CPU Upgrade 8 vCPU, 32 GB
Source: huggingface.co/pricing, checked 28 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 28 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Spaces - Hugging Face ↗huggingface.co
- Pricing - Hugging Face ↗huggingface.co
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No ratings for Spaces yet.
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Last checked 28 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.