rapidsai / rapidsai/deployment
Deployment strategies for NVIDIA data science agent notebooks
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 15
- Forks
- 41
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 6
Description
We have some great example and tutorial notebooks out there, but not all of them are easy to set up for the average attempter. Let's make these aspirational notebooks attainable as we create deployment strategies around agents and data science.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the existing example and tutorial notebooks first, then identify which deployment strategies are needed for agents and data science workflows. Done means the aspirational notebooks have practical setup guidance that makes them easier for average users to deploy.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100