aws / aws/amazon-sagemaker-feedback
Use reserved instances for Sagemaker Studio JupyterLab
- Dominant language
- No language data
- Stars
- 10
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
### Product Version
- [ ] Amazon SageMaker Studio Classic
- [x] Amazon SageMaker Studio
- [ ] It is not related to SageMaker Studio
### Product Category
JupyterLab
### Description
We need to use p3 and p4 instances in Studio Spaces but it is very difficult to get it. We have several capacity reservations with p3 and p4 instances. Is it possible to use EC2's under these capacity reservations inside Studio Spaces? If not, can you create this capability?
### Other Details
_No response_
Contributor guide
Research direction
No repository files, tests, or implementation entry points are identified. Start by investigating Amazon SageMaker Studio Spaces and EC2 capacity reservations for p3 and p4 instances; done means establishing whether reserved capacity can be used and, if feasible, defining the required Studio capability.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100