Error Vnet_Error_001 from Microsoft Foundry

Question

Hi,

we are getting the error :

InternalServerError: Error code: 500 - {'error': {'code': '500', 'message': 'InternalServerError : Vnet_Error_001'}}

for all our model deployments (swedencentral) - what can we do?

Answer 1

Hi Jonas Kemper and all

Sorry for the inconvenience . Got the update on this context.

It seems like transient backend issue. Below screenshot was Noted from Azure Status earlier from Shikha.

Seems to be mitigated now as per today's azure status page.

Could you please retest the deployment and let us know.

Attached additional pointers on VNET side for reference.

1. Please make sure users has subnet/join operations on Virtual network.
2. Please make sure that user has "Cognitive Services OpenAI contributor" roles on Azure OpenAI.
3. Please remove and add the private endpoints if needed (if own vnet scenario)
4. Please check in HAR Trace/ Firewall logs/ Proxy logs for blocking
5. NSG Setting - Please allow below Service Tags in outbound roles if Network Security Group is in use.

AzureActiveDirectory

AzureFrontDoor.Frontend

AzureResourceManager

CognitiveServicesManagement

CognitiveServicesFrontEnd

Storage (Speech Studio only)

Reference - https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-virtual-networks?tabs=portal#supported-regions-and-service-offerings

Please let me know if the issue persists at your side if above points checked.

Thank you .

Answer 2

Hi Jonas,

Thanks for reaching out to Microsoft QnA

as per azure status - Advisory for OpenAI in Sweden Central

Impact Statement: Starting at 09:00 UTC on 27 January 2026 , customers using Azure OpenAI Service in Sweden Central may experience intermittent availability issues. Current Status: We are aware of this issue and are actively investigating. The next update will be provided as events warrant.

This message was last updated at 10:51 UTC on 27 January 2026

Kindly accept this answer if it helps

Answer 3

The error InternalServerError: Vnet_Error_001 indicates that there is an issue related to the virtual network (VNet) configuration for your model deployments in Microsoft Foundry. Here are some steps you can take to troubleshoot and potentially resolve this issue:

1. Check VNet Configuration: Ensure that your virtual network settings are correctly configured. This includes verifying that the subnet is properly set up and that the necessary permissions are granted.
2. Role Assignments: Make sure that the identity associated with your deployment has the correct role assignments to access the VNet. You may need to assign the Azure ML Data Scientist role to the managed identity used by your deployment.
3. Retry the Deployment: Sometimes, internal server errors can be transient. Retrying the deployment after a brief wait may resolve the issue.
4. Review Logs: Check the logs in the Azure portal for more detailed error messages that can provide additional context on the failure.
5. Contact Support: If the issue persists, consider reaching out to Azure support for further assistance, providing them with the error details and any relevant logs.

These steps should help you identify and potentially resolve the Vnet_Error_001 issue you're encountering during your model deployments.

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References:

• Troubleshoot your deployments and monitors in Microsoft Foundry portal
• Troubleshoot common Azure deployment errors