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docs: Core Stacks: move CUDA docs to later in the page #2145

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Sep 14, 2024
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docs: Core Stacks: move CUDA docs to later in the page #2145

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1f6ec92
Move `CUDA enabled variant` to lower down
manics Sep 7, 2024
e3df4c1
CUDA enabled variant: fix grammar
manics Sep 7, 2024
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19 changes: 10 additions & 9 deletions docs/using/selecting.md
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Expand Up @@ -16,15 +16,6 @@ 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` and `tensorflow-notebook` images.
Prepend a CUDA prefix (versioned prefix like `cuda12-` for `pytorch-notebook` or just `cuda-` for `tensorflow-notebook`) to the image tag
to allow PyTorch or TensorFlow operations to use compatible NVIDIA GPUs for accelerated computation.
Note: We only build `pytorch-notebook` for 2 last major versions of CUDA, `tensorflow-notebook` image only supports the latest CUDA version listed in the [officially tested build configurations](https://www.tensorflow.org/install/source#gpu).

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

### jupyter/docker-stacks-foundation

[Source on GitHub](https://github.com/jupyter/docker-stacks/tree/main/images/docker-stacks-foundation) |
Expand Down Expand Up @@ -248,6 +239,16 @@ It contains:
[ggplot2](https://ggplot2.tidyverse.org)
packages

### CUDA enabled variants

We provide CUDA accelerated versions of the `pytorch-notebook` and `tensorflow-notebook` images.
Prepend a CUDA prefix (versioned prefix like `cuda12-` for `pytorch-notebook` or just `cuda-` for `tensorflow-notebook`) to the image tag
to allow PyTorch or TensorFlow operations to use compatible NVIDIA GPUs for accelerated computation.
We only build `pytorch-notebook` for last two major versions of CUDA.
The `tensorflow-notebook` image only supports the latest CUDA version listed in the [officially tested build configurations](https://www.tensorflow.org/install/source#gpu).

For example, you could use the image `quay.io/jupyter/pytorch-notebook:cuda12-python-3.11.8` or `quay.io/jupyter/tensorflow-notebook:cuda-latest`.

### Image Relationships

The following diagram depicts the build dependency tree of the core images. (i.e., the `FROM` statements in their Dockerfiles).
Expand Down