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08-09-2025 04:34 PM
I set up run 10 notebooks at same time in serverless workflow
I got this error:
serverless workflow Compute became unresponsive. Compute is likely out of memory.
Is there a quota in serverless compute I can set in zure databricks?
These notebooks are processing a few tables with 100 G in size each
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08-11-2025 06:44 AM
Hello @lizou1!
Yes, serverless compute has a quota, measured in Databricks Units (DBUs) per hour. For notebooks, jobs, or pipelines, there’s a built-in hourly spending upper limit.
To check your account’s serverless scale-up limits, you need to contact your Azure Databricks account team. You can also request a quota increase through the Azure Portal.
https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/serverless-quotas
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09-15-2025 11:25 AM
Sorry just FYI
I am having this issue randomly every day, in environment 4 , I also have same issue in environment 2,3 as well
Run just waiting for hours
2031.048s info gc GC(22) Pause Young (Allocation Failure) 1190M - 273M(3172M) 19.415ms
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09-14-2025 05:06 PM
The issue is new, and azure cloud providers are also not quite sure the details, will get more info later
