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DeepInfra: Inference Timeout / Model Loading Error
Current Status: Operational
Last checked: 6m ago
What We're Seeing Right Now
No recent issues reported. If you're experiencing problems with DeepInfra, report below to help the community.
What is this error?
When DeepInfra 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.
Error Signatures
Inference timeoutModel loadingCold start504 Gateway TimeoutRequest timed outModel initialization failedPrediction timed outWorker not readyCommon Causes
- Cold start — model loading into GPU memory
- Model is too large for allocated resources
- Input is too large or complex
- Infrastructure overloaded
- DeepInfra inference endpoint is degraded
✓ How to Fix It
- Increase timeout values in your client
- Use a smaller model variant if available
- Keep the endpoint warm with periodic requests
- Check if auto-scaling is configured
- Reduce input size
- Check this page for infrastructure issues
Live Signals
Service Components
DeepInfra Web
OperationalRecent Incidents
No incidents in the past 30 days
Frequently Asked Questions
Why is DeepInfra inference timing out?
Large models have cold starts (30-120s). If timeouts persist, the model may need more resources or DeepInfra may be overloaded.
How do I reduce DeepInfra cold start time?
Keep endpoints warm, use smaller models, or use DeepInfra's dedicated/reserved infrastructure.
Is DeepInfra inference slow for everyone?
Check community reports below for real-time performance feedback.