Hi @rakeshdey,
On Databricks Free Edition, GPU access is not governed by a publicly documented fixed numeric quota. Instead, Free Edition is subject to a fair-usage policy, and if a user exceeds their quota, compute resources can be shut down and become unavailable until the limit resets.
More specifically, the Free Edition limitations page says that Free Edition includes limited serverless GPU compute, available from the notebook compute selector and subject to available capacity.
It also states that Free Edition users only have access to serverless compute, and that custom compute configurations are not supported.
So if you previously used a few minutes of GPU and now see "quota exceeded" when trying to attach GPU compute, the most likely explanation is that you've hit the current Free Edition fair-use limit for GPU/serverless usage and need to wait for the quota window to reset.
Please note that the Free Edition is a limited personal-use offering, whereas the Databricks free trial is a better option for evaluating the full platform capabilities.
If this answer resolves your question, could you mark it as โAccept as Solutionโ? That helps other users quickly find the correct fix.
Regards,
Ashwin | Delivery Solution Architect @ Databricks
Helping you build and scale the Data Intelligence Platform.
***Opinions are my own***