[fix] adding dask gpu back in

BioImage-Archive · Sep 3, 2024 · 1828824 · 1828824
1 parent fa3108d
commit 1828824
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Showing 2 changed files with 10 additions and 10 deletions.
diff --git a/daskhub/values.yaml b/daskhub/values.yaml
@@ -100,14 +100,14 @@ jupyterhub:
         kubespawner_override:
           cpu_limit: 8
           mem_limit: "32G"
-      # - display_name: "1 GPU High Memory"
-      #   description: "Environment with 4 CPUs, 16Gi RAM, and 1 GPU"
-      #   kubespawner_override:
-      #     image: pangeo/ml-notebook
-      #     cpu_limit: 4
-      #     mem_limit: "16G"
-      #     extra_resource_limits:
-      #       nvidia.com/gpu: "1"
+      - display_name: "1 GPU High Memory"
+        description: "Environment with 4 CPUs, 16Gi RAM, and 1 GPU"
+        kubespawner_override:
+          image: pangeo/ml-notebook
+          cpu_limit: 4
+          mem_limit: "16G"
+          extra_resource_limits:
+            nvidia.com/gpu: "1"
 
 dask-gateway:
   enabled: true  # Enabling dask-gateway will install Dask Gateway as a dependency.

diff --git a/helmsman.yaml b/helmsman.yaml
@@ -50,7 +50,7 @@ apps:
     namespace: "nvidia-device-plugin"
     chart: "nvdp/nvidia-device-plugin"
     group: "prod"
-    enabled: false
+    enabled: true
     version: "0.10.0"
 
   docker-registry:
@@ -129,6 +129,6 @@ apps:
     name: "nvidia-gpu-operator"
     namespace: "gpu-operator"
     chart: "nvidia/gpu-operator"
-    enabled: false
+    enabled: true
     version: "1.9.1"
     group: "prod"