Add S3 bucket connectivity or integration into SageMaker Studio Lab

**Is your feature request related to a problem? Please describe.**
I'd like to be able to temporarily connect different S3 buckets to SageMaker Studio Lab (SMSL) for either extra library storage or dataset storage. I'm currently having trouble installing the latest RAPIDS version on SMSL due to running out of space, and have resorted to deleting datasets that take a long time to download. I even have to delete the zip files. The downloads, conda environment recreation, and failed installs take up precious GPU time that is already hard to come by.

**Describe the solution you'd like**
I'd like to be able to connect an s3 bucket to SMSL with the conda envs and data ready to go.

**Describe alternatives you've considered**

- Deleting and redownloading the data needed.
- Removing other conda environments not currently being used and reinstalling them when they are needed again
- using Pip install packages

**Additional context**
Some additional libraries for GPU deep learning and machine learning take up a bit of room when downloading and expanding using conda.