removed runtimeclassnames nvidia accross all AI files

Author: tbazant

DC-AI-deployment

@@ -7,7 +7,6 @@ ADOC_POST=yes
 ADOC_TYPE=book
 ADOC_ATTRIBUTES=" --attribute env-daps=1"
 ADOC_ATTRIBUTES+=" --attribute PROF_PRODUCT=suseai"
-ADOC_ATTRIBUTES+=" --attribute PROF_PRODUCT=suseai"
 ADOC_ATTRIBUTES+=" --attribute PROF_DEPLOYMENT=standard"
 
 STYLEROOT="/usr/share/xml/docbook/stylesheet/suse2022-ns"
@@ -17,4 +16,5 @@ FALLBACK_STYLEROOT="/usr/share/xml/docbook/stylesheet/suse-ns"
 DOCBOOK5_RNG_URI="http://docbook.org/xml/5.2/rng/docbookxi.rng"
 
 #XSLTPARAM+=' --param toc.section.depth=2'
-#XSLTPARAM+=' --param bubbletoc.section.depth=3 --param bubbletoc.max.depth=3'
+#XSLTPARAM+=' --param bubbletoc.section.depth=3 --param bubbletoc.max.depth=3'
+#XSLTPARAM+=' --stringparam generate.toc="book title" '

references/ollama-helmchart.adoc

@@ -36,7 +36,6 @@ global:
 ingress:
   enabled: false
 defaultModel: "gemma:2b"
-runtimeClassName: nvidia
 ollama:
   models:
     pull:

references/owui-helm-overrides.adoc

@@ -450,7 +450,6 @@ Following is an example of the `open-webui-pipelines-values.yaml` override file.
 
 [source,yaml]
 ----
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection

references/pytorch-helm-overrides.adoc

@@ -11,7 +11,6 @@ include::../snippets/helm-chart-overrides-intro.adoc[]
 [source,yaml]
 ----
 # pytorch_custom_overrides.yaml
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection <.>
@@ -48,7 +47,6 @@ To create a ConfigMap, run the following command:
 [source,yaml]
 ----
 # pytorch_custom_overrides.yaml
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection 
@@ -82,7 +80,6 @@ Move the `entrypoint.sh` file plus any helper files under the `scripts/` directo
 [source,yaml]
 ----
 # pytorch_custom_overrides.yaml
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection <.>
@@ -117,7 +114,6 @@ For production use, we recommend using a storage solution suitable for persisten
 [source,yaml]
 ----
 # pytorch_custom_overrides.yaml
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection <.>
@@ -153,7 +149,6 @@ For production use, we recommend using a storage solution suitable for persisten
 [source,yaml]
 ----
 # pytorch_custom_overrides.yaml
-runtimeClassName: nvidia
 global:
   imagePullSecrets:
     - application-collection <.>

references/vllm-helm-overrides.adoc

@@ -121,8 +121,7 @@ global:
   imagePullSecrets:
   - application-collection
 servingEngineSpec:
-  runtimeClassName: "nvidia"
-  modelSpec:
+    modelSpec:
   - name: "llama3" <.>
     registry: "dp.apps.rancher.io" <.>
     repository: "containers/vllm-openai" <.>
@@ -263,8 +262,7 @@ global:
   imagePullSecrets:
   - application-collection
 servingEngineSpec:
-  runtimeClassName: "nvidia"
-  modelSpec:
+    modelSpec:
   - name: "llama3"
     registry: "dp.apps.rancher.io"
     repository: "containers/vllm-openai"
@@ -383,8 +381,7 @@ global:
   imagePullSecrets:
   - application-collection
 servingEngineSpec:
-  runtimeClassName: "nvidia"
-  modelSpec:
+    modelSpec:
   - name: "mistral"
     registry: "dp.apps.rancher.io"
     repository: "containers/lmcache-vllm-openai"
@@ -432,8 +429,7 @@ global:
   imagePullSecrets:
   - application-collection
 servingEngineSpec:
-  runtimeClassName: "nvidia"
-  modelSpec:
+    modelSpec:
   - name: "mistral"
     registry: "dp.apps.rancher.io"
     repository: "containers/lmcache-vllm-openai"

tasks/NVIDIA-Operator-installation.adoc

@@ -164,8 +164,7 @@ metadata:
   namespace: default
 spec:
   restartPolicy: OnFailure
-  runtimeClassName: nvidia
-  containers:
+    containers:
   - name: cuda-container
     image: nvcr.io/nvidia/k8s/cuda-sample:nbody
     args: ["nbody", "-gpu", "-benchmark"]