BentoML Status — Is BentoML Down?

Operational

Last checked: 20m ago

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Service Status

BentoCloud

Operational37ms

24-Hour Uptime

100%

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Operational

Degraded

Outage

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Latency (24h)

Recent Incidents

No incidents in the past 30 days

Common Issues with BentoML

See detailed troubleshooting guides for the most common BentoML errors:

GPU Unavailable / No Capacity

When BentoML 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 BentoML 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 BentoML 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 BentoML 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 BentoML 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 BentoML

Open-source framework for serving ML models in production

Official Website

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Monitored Surfaces

BentoCloud