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mathbunnyru merged 1 commit into from
Feb 24, 2024
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Improve CUDA enabled images docs and add a policy #2097

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -101,6 +101,7 @@ more information is available in the [documentation](https://jupyter-docker-stac
- Single-platform images have either `aarch64-` or `x86_64-` tag prefixes, for example, `quay.io/jupyter/base-notebook:aarch64-python-3.11.6`
- Starting from `2022-09-21`, we create multi-platform images (except `tensorflow-notebook`)
- Starting from `2023-06-01`, we create a multi-platform `tensorflow-notebook` image as well
- Starting from `2024-02-24`, we create CUDA enabled variant of `pytorch-notebook` image for `x86_64` platform

## Using old images

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10 changes: 8 additions & 2 deletions docs/using/selecting.md
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Expand Up @@ -16,6 +16,14 @@ This section provides details about the first.
The Jupyter team maintains a set of Docker image definitions in the <https://github.com/jupyter/docker-stacks> GitHub repository.
The following sections describe these images, including their contents, relationships, and versioning strategy.

## CUDA enabled variant

We provide CUDA accelerated version of `pytorch-notebook` image.
Prepend a CUDA version prefix (like `cuda12-`) to the image tag to allow PyTorch operations to use compatible NVIDIA GPUs for accelerated computation.
We only build images for 2 last major versions of CUDA.

For example, you can use an image `quay.io/jupyter/pytorch-notebook:cuda12-python-3.11.8`

### jupyter/docker-stacks-foundation

[Source on GitHub](https://github.com/jupyter/docker-stacks/tree/main/images/docker-stacks-foundation) |
Expand Down Expand Up @@ -197,8 +205,6 @@ It contains:
- Everything in `jupyter/scipy-notebook` and its ancestor images
- [pytorch](https://pytorch.org/) machine learning library

> **GPU Acceleration:** Append a CUDA version prefix (`cuda11-` for CUDA 11 or `cuda12-` for CUDA 12) to the image tag to allow PyTorch operations to use compatible NVIDIA GPUs for accelerated computation.

### jupyter/datascience-notebook

[Source on GitHub](https://github.com/jupyter/docker-stacks/tree/main/images/datascience-notebook) |
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