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Spring 2025 Stable Image Updates
This quarter we've moved many of our machines over to Debian, which has allowed us to focus more on CUDA/NVidia upgrades. As such we've updated our scipy-ml-notebook container to use CUDA 12.6, which has allowed us to upgrade Tensorflow and Torch.
- Tensorflow 2.15.0 -> 2.18.0
- Torch 2.2.1 -> 2.6.0
- Keras 2.15.0 -> 3.9.0
- Transformers 4.46.3 -> 4.49.0
- CUDA 12.1 -> 12.6
- CUDNN 8.9.2 -> 9.5.1
Base notebook (Datascience): https://github.com/ucsd-ets/datahub-docker-stack/wiki/ghcr-io-ucsd-ets-datascience-notebook-2025.2-stable
Scipy-ML notebook: https://github.com/ucsd-ets/datahub-docker-stack/wiki/ghcr-io-ucsd-ets-scipy-ml-notebook-2025.2-stable
RStudio Notebook: https://github.com/ucsd-ets/datahub-docker-stack/wiki/ghcr-io-ucsd-ets-rstudio-notebook-2025.2-stable
The Home.md page lists the stable version of the production images in each quarter used for courses on the DSMLP platform.
The Stable_Tag.md page lists the global-stable images being used in the current quarter.
To see the packages being installed and other information for a particular image, click on the respective "Link" to view the manifest of it.
If you have any questions, please create a ticket by emailing [email protected].