A catalog of AI models in Microsoft Foundry that you can discover, compare, and deploy using Azure’s built‑in tools for evaluation, fine‑tuning, and inference
Hi Mathias,
That error is usually related to quota, region availability, permissions, or temporary backend issues in Azure AI Foundry rather than the model itself.
A few quick things to check:
- Try deploying in another region. Some models are unavailable or capacity-constrained in specific regions.
- Verify quota availability: Azure Portal → Subscriptions → Usage + quotas
- Confirm the resource provider is registered:
- Microsoft.CognitiveServices
- Microsoft.MachineLearningServices
- Try a different browser/InPrivate session and clear stale deployments.
- Check Azure status: https://status.azure.com
If it still fails, capture:
- Deployment region
- Model name
- Timestamp
- Correlation/Request ID (if shown)
Those details help Microsoft support trace the backend failure quickly.