Databricks Status — Is Databricks Down?

Operational

Last checked: 17m ago

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Service Status

Databricks Platform

Operational113ms

24-Hour Uptime

98%

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Operational

Degraded

Outage

No data

Latency (24h)

Recent Incidents

No incidents in the past 30 days

Common Issues with Databricks

See detailed troubleshooting guides for the most common Databricks errors:

GPU Unavailable / No Capacity

When Databricks reports no GPU availability, there are no compute resources to run your model. GPU scarcity is a major issue in AI infrastructure, especially for high-demand GPU types like A100 and H100.

Deployment Failed / Build Error

When Databricks fails to deploy your model or application, the build, packaging, or startup process encountered an error. This can block your production pipeline.

Inference Timeout / Model Loading Error

When Databricks inference times out, the model took too long to load, initialize, or generate a response. Large models can have cold start times of 30-120 seconds, and inference itself can timeout under load.

Region Unavailable / Endpoint Down

When a Databricks region or endpoint is unavailable, the specific data center or geographic zone you're targeting is down or unreachable. Other regions may still be operational.

Account / Billing Suspended

When Databricks suspends your account due to billing issues, all your deployments, API access, and resources are paused or terminated. This can happen silently and cause production outages.

About Databricks

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Databricks Platform