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Groq: GPU Unavailable / No Capacity
Current Status: Major Outage
Last checked: 22m ago
What We're Seeing Right Now
No recent issues reported. If you're experiencing problems with Groq, report below to help the community.
What is this error?
When Groq 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.
Error Signatures
No GPU availableGPU capacity exceededNo available machinesResource not availableInsufficient capacityOut of capacityNo instances availableGPU quota exceededCommon Causes
- All GPUs of the requested type are in use
- Regional capacity exhausted
- Spot/preemptible instances were reclaimed
- Specific GPU type not available in your region
- Groq is experiencing a capacity crunch
✓ How to Fix It
- Try a different GPU type (e.g., A10 instead of A100)
- Try a different region
- Use on-demand instead of spot instances
- Set up auto-retry with Groq's queue system
- Check this page for capacity updates
- Consider reserved instances for guaranteed access
Groq Resources:
Live Signals
Service Components
Groq API
OperationalRecent Incidents
CRITICAL✓ Resolved
Inference latency spike
Latency increased 10x, averaging 8-10s instead of 200-500ms
4d ago → 4d ago
Frequently Asked Questions
Why are Groq GPUs unavailable?
GPU demand exceeds supply, especially for popular types. Try different GPU types, regions, or off-peak hours.
When will Groq GPUs be available?
Capacity fluctuates. Check community reports for real-time availability feedback.
How do I get guaranteed GPU access on Groq?
Consider reserved instances, enterprise plans, or multi-provider setups.