Add the gpu as a resource option of the first dropdown

Author: GeorgianaElena

config/clusters/aimatx-2i2c-hub/common.values.yaml

@@ -122,49 +122,18 @@ jupyterhub:
                 cpu_limit: 62.575
                 node_selector:
                   node.kubernetes.io/instance-type: r5.16xlarge
-    - display_name: NVIDIA Tesla T4, ~16 GB, ~4 CPUs
-      description: Start a container on a dedicated node with a GPU
-      slug: gpu
-      allowed_groups:
-      - 2i2c-org:hub-access-for-2i2c-staff
-      - aimatx-ai:developers
-      profile_options:
-        image:
-          display_name: Image
-          dynamic_image_building:
-            enabled: true
-          unlisted_choice:
-            enabled: true
-            display_name: Custom image
-            validation_regex: ^.+:.+$
-            validation_message: Must be a publicly available docker image of form <image-name>:<tag>
-            display_name_in_choices: Specify an existing docker image
-            description_in_choices: Use a pre-existing docker image from a public docker registry (dockerhub, quay, etc)
-            kubespawner_override:
-              image: '{value}'
-          choices:
-            pytorch:
-              display_name: Pangeo PyTorch ML Notebook
-              default: true
-              slug: pytorch
+            gpu:
+              display_name: NVIDIA Tesla T4, ~16 GB, ~4 CPUs
+              description: Start a container on a dedicated node with a GPU
               kubespawner_override:
-                image: quay.io/pangeo/pytorch-notebook:2025.08.14
-            tensorflow2:
-              display_name: Pangeo Tensorflow2 ML Notebook
-              slug: tensorflow2
-              kubespawner_override:
-                image: quay.io/pangeo/ml-notebook:2025.08.14
-
-      kubespawner_override:
-        environment:
-          NVIDIA_DRIVER_CAPABILITIES: compute,utility
-        mem_limit:
-        mem_guarantee: 14G
-        node_selector:
-          node.kubernetes.io/instance-type: g4dn.xlarge
-        extra_resource_limits:
-          nvidia.com/gpu: '1'
-
+                environment:
+                  NVIDIA_DRIVER_CAPABILITIES: compute,utility
+                mem_limit:
+                mem_guarantee: 14G
+                node_selector:
+                  node.kubernetes.io/instance-type: g4dn.xlarge
+                extra_resource_limits:
+                  nvidia.com/gpu: '1'
   custom:
     daskhubSetup:
       enabled: true