aws / aws/amazon-sagemaker-feedback
Preview for cpu and memory on sagemaker studio instances is inaccurate
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- 10
- Forks
- 3
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Description
### Product Version
- [ ] Amazon SageMaker Studio Classic
- [x] Amazon SageMaker Studio
- [ ] Issue is not related to SageMaker Studio
### Issue Description
First open Sagemaker Studio in GovCloud. Go to JupyterLab. Select "Create JupyterLab Space". The CPU and Memory for any of the ml.g6 family of instances are not accurate. See attached photo. The ml.g6.48xlarge instance does not have 768 CPUs. This is misleading.
### Expected Behavior
The CPU and memory attributes should probably be similar to this website.
https://aws.amazon.com/ec2/instance-types/
### Observed Behavior
### Product Category
JupyterLab
### Feedback Category
User Interface
### Other Details
_No response_
Contributor guide
Research direction
No repository files or tests are identified. Reproduce the issue by opening SageMaker Studio in GovCloud, entering JupyterLab, and selecting Create JupyterLab Space for an ml.g6 instance; compare the displayed CPU and memory values with the AWS EC2 instance-types reference. Done means the preview reports accurate attributes, including for ml.g6.48xlarge.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws
- Domain
- cloud
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100