Merge pull request #1768 from pareenaverma/content_review

Move Gke Ollama, Deepseek, DLRM to draft

Author: pareenaverma

content/learning-paths/servers-and-cloud-computing/deepseek-cpu/_index.md

@@ -1,6 +1,10 @@
 ---
 title: Deploy DeepSeek-R1 models on Arm servers
 
+draft: true
+cascade:
+    draft: true
+
 minutes_to_complete: 30
 
 who_is_this_for: This is an introductory topic for developers interested in running DeepSeek-R1 on Arm-based servers. 

content/learning-paths/servers-and-cloud-computing/dlrm/_index.md

@@ -1,6 +1,10 @@
 ---
 title: MLPerf Benchmarking on Arm Neoverse V2
 
+draft: true
+cascade:
+    draft: true
+
 minutes_to_complete: 90
 
 who_is_this_for: This is an introductory topic for software developers who want to set up a pipeline in the cloud for recommendation models. You will build and run the benchmark using MLPerf and PyTorch.

content/learning-paths/servers-and-cloud-computing/multiarch_ollama_on_gke/_index.md

@@ -1,6 +1,10 @@
 ---
 title: Run Ollama's multi-arch container image on GKE with arm64 and amd64 nodes. 
 
+draft: true
+cascade:
+    draft: true
+
 minutes_to_complete: 30
 
 who_is_this_for: This topic explains how developers can migrate a homogeneous amd64 K8s cluster to a hybrid (arm64 and amd64) cluster using a multi-architecture container image on GKE. Ollama is the application used to demonstrate the migration.