not able to switch to g4dn instance in jupyterlab spaces
Closed this issue · 1 comments
Product Version
- Amazon SageMaker Studio Classic
- Amazon SageMaker Studio
- Issue is not related to SageMaker Studio
Issue Description
After creating a space and starting jupyterlab application, initially the selected instance type was ml.t3.medium. After stopping the space, selecting a new instance type (ml.g4dn.xlarge) and starting with 'Run Space' it fails with error message, "Unable to complete operation. Please try again."
Have seen this issue only with GPU enabled instances.
Expected Behavior
Space starts with the selected ml.g4dn.xlarge instance.
Observed Behavior
It fails with error message, "Unable to complete operation. Please try again."
Product Category
JupyterLab
Feedback Category
Configuration and Setup, Images and Runtime Customization
Other Details
No response
HI @prakarsh-sys , this is because you may not have quotas to run GPU instances. You can go to SageMaker Service Quotas console and request for a limit increase.