diff --git a/00.configuration.ipynb b/00.configuration.ipynb
index 6cc1eb92..2543b97c 100644
--- a/00.configuration.ipynb
+++ b/00.configuration.ipynb
@@ -210,7 +210,7 @@
    "source": [
     "## Create compute resources for your training experiments\n",
     "\n",
-    "Many of the subsequent examples use BatchAI clusters to train models at scale. To create a **CPU** cluster now, run the cell below. The autoscale settings mean that the cluster will scale down to 0 nodes when inactive and up to 8 nodes when busy."
+    "Many of the subsequent examples use BatchAI clusters to train models at scale. To create a **CPU** cluster now, run the cell below. The autoscale settings mean that the cluster will scale down to 0 nodes when inactive and up to 4 nodes when busy."
    ]
   },
   {
@@ -233,7 +233,7 @@
     "    compute_config = BatchAiCompute.provisioning_configuration(vm_size='STANDARD_D2_V2', \n",
     "                                                                autoscale_enabled=True,\n",
     "                                                                cluster_min_nodes=0, \n",
-    "                                                                cluster_max_nodes=6)\n",
+    "                                                                cluster_max_nodes=4)\n",
     "    cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config)\n",
     "\n",
     "cpu_cluster.wait_for_completion(show_output=True)"
@@ -266,7 +266,7 @@
     "    compute_config = BatchAiCompute.provisioning_configuration(vm_size='STANDARD_NC6', \n",
     "                                                                autoscale_enabled=True,\n",
     "                                                                cluster_min_nodes=0, \n",
-    "                                                                cluster_max_nodes=6)\n",
+    "                                                                cluster_max_nodes=4)\n",
     "    gpu_cluster = ComputeTarget.create(ws, gpu_cluster_name, compute_config)\n",
     "\n",
     "gpu_cluster.wait_for_completion(show_output=True)"