move cuda section to partials

Author: jelletreep

docs/workspaces/partials/_cuda.qmd

@@ -0,0 +1,12 @@
+::: {.callout-note collapse="true"}
+## CUDA GPU Available
+
+This workspace can be created with or without nvidia CUDA GPU drivers pre-installed.
+
+To create with GPU pre-installed select **{{< meta workspace_cuda >}}** when creating the workspace, 
+
+GPU workspaces consume more credits. See the [cost calculator](../../responsible-use.qmd#cost-calculator) for an estimate.
+
+A GPU may speed up your code if the (python) libraries that you use are designed to take advantage of GPU acceleration (e.g. Pytorch, Tensorflow, LLMs). Only choose GPU workspaces if you know that this is the case. If you are not sure, [contact us](https://www.uu.nl/en/research/research-data-management/tools/software-and-computing/virtual-research-environments).
+
+:::

docs/workspaces/partials/sudo-rights.qmd docs/workspaces/partials/_sudo-rights.qmddocs/workspaces/partials/sudo-rights.qmd renamed to docs/workspaces/partials/_sudo-rights.qmd

@@ -19,7 +19,23 @@ packages:
 gpu: true
 admin: true
 support: SURF
+workspace_cuda: Ubuntu 2204 with CUDA
 ---
 
-{{< include partials/_ubuntu.qmd >}}
+## Description
+
+{{< include ../partials/_cuda.qmd >}}
+
+
+## Creation
+
+{{< include ../partials/_creation.qmd >}}
+
+## Access
+
+## Data transfer options
+
+## Usage
+
+## Tips
 

docs/workspaces/plain/partials/_ubuntu.qmd

@@ -15,10 +15,39 @@ packages:
 gpu: true
 admin: true
 support: SURF, UU
+workspace_cuda: Windows Server 2019 with CUDA
 ---
 
-{{< include partials/_windows.qmd >}}
+## Description
 
+ResearchCloud allows you to start Windows workspaces that use the Windows Server 2019 Operating System. There are various flavours:
+
+- Windows Server 2019 (maintained by SURF)
+- Windows Server 2019 with CUDA (with GPU support, maintained by SURF)
+- Windows with iBridges (comes with [iBridges for data transfer](../../manuals/ibridges.qmd), maintained by UU)
+
+{{< include ../partials/_cuda.qmd >}}
+
+Simply choose one of these [catalog items](../../glossary.qmd#catalog-item) in the workspace creation wizard.
+
+
+
+
+## Access
+
+You can [access Windows workspaces as a remote desktop in your browser](../../first-steps.qmd#browser-access-to-a-desktop-environment), authenticating via SRAM.
+
+## Creation
+
+{{< include ../partials/_creation.qmd >}}
+
+## Usage
+
+{{< include ../partials/_data_transfer.qmd >}}
+
+When using the *Windows with iBridges* flavour, the recommended [iBridges client for Yoda and iRODS](../../manuals/ibridges.qmd) is preinstalled.
+
+## Tips
 
 Use this table to find the appropriate data transfer method for your situation:
 

docs/workspaces/plain/partials/_windows.qmd

@@ -17,6 +17,7 @@ packages:
 gpu: true
 admin: true
 support: SURF
+workspace_cuda: Jupyter Notebooks with CUDA
 ---
 
 ## Description
@@ -29,17 +30,7 @@ All users in your Collaborative Organisation can login to the workspace and will
 
 If needed, we can help you to automatically install certain packages when the workspace is created, so that these are available from inside the Jupyter environment immediately. Please [contact us](../../contact.qmd) for this. However, you can of course also install your own dependencies from with the Notebook.
 
-::: {.callout-note collapse="true"}
-## CUDA GPU Available
-
-This workspace can be created with or without nvidia CUDA GPU drivers pre-installed.
-
-To create with GPU pre-installed select **Jupyter Notebook with CUDA** when creating the workspace, 
-
-GPU workspaces consume more credits. See the [cost calculator](../../responsible-use.qmd#cost-calculator) for an estimate.
-
-**Usage is identical** whether you choose CPU or GPU. Only choose GPU workspaces if you need intense computational power. 
-:::
+{{< include ../partials/_cuda.qmd >}}
 
 ## Creation
 

docs/workspaces/plain/ubuntu.qmd

@@ -56,4 +56,4 @@ This workspace includes `uv`, `conda`, and `poetry` for Python environment manag
 Access the integrated terminal with `` Ctrl+` `` or via the Terminal menu. With sudo rights, you can install additional system packages using `sudo apt install`.
 
 ## Tips
-{{< include ../partials/sudo-rights.qmd >}}
+{{< include ../partials/_sudo-rights.qmd >}}

docs/workspaces/plain/windows.qmd

@@ -23,6 +23,7 @@ packages:
 gpu: true
 admin: true
 support: UU
+workspace_cuda: Python Workbench CUDA
 ---
 
 ## Description
@@ -41,17 +42,7 @@ There are various flavours of this Catalog Item:
 
 Simply choose the one that is most convenient to you.
 
-::: {.callout-note collapse="true"}
-## CUDA GPU Available
-
-This workspace can be created with or without nvidia CUDA GPU drivers pre-installed.
-
-To create with GPU pre-installed select **Python Workbench CUDA** when creating the workspace, 
-
-GPU workspaces consume more credits. See the [cost calculator](../../responsible-use.qmd#cost-calculator) for an estimate.
-
-**Usage is identical** whether you choose CPU or GPU. Only choose GPU workspaces if you need intense computational power. 
-:::
+{{< include ../partials/_cuda.qmd >}}
 
 ## Creation
 

docs/workspaces/programming/jupyter.qmd

@@ -17,6 +17,8 @@ packages: []
 gpu: false
 admin: true
 support: UU
+workspace_cuda: VRE lab GPU
+
 
 ---
 
@@ -32,6 +34,7 @@ You can automatically install environments and dependencies for Python, R, Julia
 
 If you wish to customise this workspace further by installing system packages or need additional help, you can [contact us](../../contact.qmd)
 
+{{< include ../partials/_cuda.qmd >}}
 
 ## Creation
 
@@ -121,7 +124,7 @@ OneDrive is currently not directly supported with rclone for UU accounts. To tra
 
 For larger data transfers, the recommended [iBridges client for Yoda and iRODS](../../manuals/ibridges.qmd) is preinstalled.
 
-{{< include ../partials/sudo-rights.qmd >}}
+{{< include ../partials/_sudo-rights.qmd >}}
 
 
 ## Tips