Improve writing

Author: marcelovilla

docs/docs/how-tos/use-gpus.mdx

@@ -31,27 +31,21 @@ Overview of using GPUs on Nebari including server setup, environment setup, and
 ## 2. Creating environments
 
   ### Build a GPU-compatible environment
-  Create the environment specification using `CONDA_OVERRIDE_CUDA`:
-
-    Conda-store provides an alternate mechanism to enable GPU environments via the setting of an environment variable as explained in the [conda-store docs](https://conda.store/conda-store-ui/tutorials/create-envs#set-environment-variables).
-    While creating a new config, click on the `**GUI <-> YAML**` Toggle to edit yaml config.
-    ```
-    channels:
-      - conda-forge
-    dependencies:
-      - pytorch
-      - ipykernel
-    variables:
-      CONDA_OVERRIDE_CUDA: "12.1"
-    ```
-    Alternatively, you can configure the same config using the UI.
-
-    Add the `CONDA_OVERRIDE_CUDA` override to the variables section to tell conda-store to build a GPU-compatible environment.
+  conda-store provides an alternate mechanism to enable GPU environments via the setting of an environment variable as explained in the [conda-store docs](https://conda.store/conda-store-ui/tutorials/create-envs#set-environment-variables).
+  Create the environment specification using `CONDA_OVERRIDE_CUDA` by creating a new environment and clicking on the `**GUI <-> YAML**` toggle to edit the yaml config.
+  ```yaml
+  channels:
+    - conda-forge
+  dependencies:
+    - pytorch
+    - ipykernel
+  variables:
+    CONDA_OVERRIDE_CUDA: "12.4"
+  ```
+  Alternatively, you can configure the same variable using the UI.
 
 :::note
-At the time of writing this document, the latest CUDA version was showing as `12.1`. Please follow the steps below to determine the latest override value for the `CONDA_OVERRIDE_CUDA` environment variable.
-
-Please ensure that your choice from PyTorch documentation is not greater than the highest supported version in the `nvidia-smi` output (captured above).
+At the time of writing this document, the latest CUDA version was showing as `12.4`. Please follow the steps [above](understanding-gpu-setup-on-the-server) to determine the highest supported version to use as an override value for the `CONDA_OVERRIDE_CUDA` environment variable.
 :::
 
 ## 3. Validating the setup