...
- The first is a basic (non-GPU) notebook. This has python and R kernels installed, and also allows you to launch VS Code and RStudio from within the notebook if you prefer a more fully-featured IDE.
- The second is a notebook with the same features as the first that will attach itself to a GPU, but that does not contain any GPU drivers or related python libraries. You will have to install all of your own GPU drivers from within the notebook if you select this. Not recommended We do not recommend the use of this option, and it will likely be removed in a future release.
- The third is a GPU-attached notebook with CUDA 11.6.2, Tensorflow, and other common python ML libraries preinstalled. It is configured to automatically surface your specific project GPU to Tensorflow within the notebook. This notebook only supports Python. It also includes VS Code and Tensorboard, as well as an extension for monitoring your GPU resource usage.
...