Provisioning error The specified Virtual Machine size in low priority is currently out of capacity. Please retry later, try reducing the Virtual Machine size or number of instances, try using dedicated VMs to improve chances of capacity allocations, or tr

Abhijay Jayaswal 20 Reputation points Microsoft Employee
2026-07-08T16:54:05.59+00:00

Getting a provisioning error even though I have quota and I am requesting for dedicated tier compute cluster.

Azure Machine Learning
0 comments No comments

Answer accepted by question author

Manish Deshpande 7,785 Reputation points Microsoft External Staff Moderator
2026-07-08T17:54:12.4633333+00:00

Hello @Abhijay Jayaswal

Region/SKU capacity If you're targeting a higher-demand SKU (GPU families especially), regional capacity can simply be exhausted at the moment you try to provision, independent of your subscription. Try a different region or VM size as a test — if that succeeds, it isolates the issue to capacity rather than your workspace config.

Retry the operation once it will work.

Thanks,
Manish

Was this answer helpful?

1 person found this answer helpful.
0 comments No comments

1 additional answer

Sort by: Most helpful
  1. Christos Panagiotidis 2,511 Reputation points
    2026-07-13T17:38:04.6566667+00:00

    Hi! The error wording suggests that the submitted AmlCompute definition still contains LowPriority even though Dedicated was selected in the interface. Inspect the compute resource JSON or deployment YAML and confirm that tier/vmPriority is set to Dedicated. If necessary, create a new cluster from CLI using an explicit dedicated configuration. If the request is definitely Dedicated, quota still does not guarantee physical capacity, so test another size, zone, or region.

    Was this answer helpful?

    0 comments No comments

Your answer

Answers can be marked as 'Accepted' by the question author and 'Recommended' by moderators, which helps users know the answer solved the author's problem.