Hugging Face Status Page

Official Hugging Face Status Page:

https://status.huggingface.co/

Or check it yourself right now:

Click to check status

Real-time check from multiple global locations

What is Hugging Face Status Page?

Hugging Face is a platform for machine learning models and datasets. The Hugging Face status page provides real-time information about the operational status of all Hugging Face services. It's powered by Atlassian Statuspage and is the official source for Hugging Face service health.

Real-time status

Incident history

Component status

Email notifications

What Hugging Face Status Page Shows

Current Operational Status

See if Hugging Face is fully operational, experiencing degraded performance, or currently down.

Incident History and Updates

View past incidents, ongoing issues, and real-time updates from the Hugging Face team.

Scheduled Maintenance

Get notified about upcoming maintenance windows that might affect Hugging Face availability.

Component-Level Status

Check individual components like API, Web Interface, Mobile Apps, and more separately.

Historical Uptime Data

Review Hugging Face's uptime history over the past days, weeks, or months.

How to Get Hugging Face Status Alerts

Option 1: Official Alerts

Subscribe directly on the Hugging Face status page for email notifications when incidents occur.

Subscribe on Official Page

Option 2: PerkyDash

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Tips for Using Hugging Face Status Page

Cache models locally to avoid download failures during Hub outages
Monitor Spaces status specifically if you host applications there
Check Inference API status for Hugging Face model API reliability
Use Git LFS directly for critical model access during Hub issues

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Frequently Asked Questions

Where is the official Hugging Face status page?

The official Hugging Face status page is at status.huggingface.co. It monitors the Hub (model/dataset hosting), Inference API, Spaces, and huggingface.co website.

Does Hugging Face status show Spaces vs Hub separately?

Yes, Spaces (app hosting) and the Model Hub are separate systems. Model downloads may work while Spaces apps are unavailable, and vice versa.

Are Inference Endpoints affected by Hub outages?

Partially. Inference Endpoints are separate infrastructure, but model loading during scaling may be affected by Hub outages. Running endpoints typically continue working.

What happens to model downloads during outages?

During Hub outages, model downloads fail. Cache models locally or use Hugging Face's Git LFS mirroring. The transformers library caches downloaded models for offline use.

Never rely only on official status pages

Official status pages can be slow to update during outages. Get independent monitoring with PerkyDash to catch issues before official announcements.