diff --git a/how-to-use-azureml/deployment/accelerated-models/README.md b/how-to-use-azureml/deployment/accelerated-models/README.md
index 23ad499b..b9981ac9 100644
--- a/how-to-use-azureml/deployment/accelerated-models/README.md
+++ b/how-to-use-azureml/deployment/accelerated-models/README.md
@@ -13,8 +13,21 @@ To learn more about the azureml-accel-model classes, see the section [Model Clas
 
 ### Step 1: Create an Azure ML workspace
 Follow [these instructions](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python) to install the Azure ML SDK on your local machine, create an Azure ML workspace, and set up your notebook environment, which is required for the next step.
-  
-### Step 2: Install the Azure ML Accelerated Models SDK
+
+### Step 2: Check your FPGA quota
+Use the Azure CLI to check whether you have quota.
+
+```shell
+az vm list-usage --location "eastus" -o table
+```
+
+The other locations are ``southeastasia``, ``westeurope``, and ``westus2``.
+
+Under the "Name" column, look for "Standard PBS Family vCPUs" and ensure you have at least 6 vCPUs under "CurrentValue."
+
+If you do not have quota, then submit a request form [here](https://aka.ms/accelerateAI).
+
+### Step 3: Install the Azure ML Accelerated Models SDK
 Once you have set up your environment, install the Azure ML Accel Models SDK. This package requires tensorflow >= 1.6,<2.0 to be installed. 
 
 If you already have tensorflow >= 1.6,<2.0 installed in your development environment, you can install the SDK package using: 
@@ -35,7 +48,7 @@ If your machine supports GPU (for example, on an [Azure DSVM](https://docs.micro
 pip install azureml-accel-models[gpu]
 ```
 
-### Step 3: Follow our notebooks
+### Step 4: Follow our notebooks
 
 The notebooks in this repo walk through the following scenarios: 
 * [Quickstart](accelerated-models-quickstart.ipynb), deploy and inference a ResNet50 model trained on ImageNet
diff --git a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb
index be6894e8..12dda529 100644
--- a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb
+++ b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-object-detection.ipynb
@@ -273,11 +273,12 @@
     "from azureml.core.compute import AksCompute, ComputeTarget\n",
     "\n",
     "# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
-    "# Authentication is enabled by default, but for testing we specify False\n",
+    "# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
     "prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
-    "                                                    agent_count = 1)\n",
+    "                                                    agent_count = 1, \n",
+    "                                                    location = \"eastus\")\n",
     "\n",
-    "aks_name = 'my-aks-pb6-ssd-vgg'\n",
+    "aks_name = 'aks-pb6-obj'\n",
     "# Create the cluster\n",
     "aks_target = ComputeTarget.create(workspace = ws, \n",
     "                                  name = aks_name, \n",
@@ -318,6 +319,7 @@
     "from azureml.core.webservice import Webservice, AksWebservice\n",
     "\n",
     "# Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
+    "# Authentication is enabled by default, but for testing we specify False\n",
     "aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
     "                                                num_replicas=1,\n",
     "                                                auth_enabled = False)\n",
diff --git a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb
index fb6c4976..af1d153e 100644
--- a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb
+++ b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-quickstart.ipynb
@@ -341,9 +341,10 @@
     "from azureml.core.compute import AksCompute, ComputeTarget\n",
     "\n",
     "# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
-    "# Authentication is enabled by default, but for testing we specify False\n",
+    "# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
     "prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
-    "                                                    agent_count = 1)\n",
+    "                                                    agent_count = 1, \n",
+    "                                                    location = \"eastus\")\n",
     "\n",
     "aks_name = 'my-aks-pb6'\n",
     "# Create the cluster\n",
@@ -386,6 +387,7 @@
     "from azureml.core.webservice import Webservice, AksWebservice\n",
     "\n",
     "#Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
+    "# Authentication is enabled by default, but for testing we specify False\n",
     "aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
     "                                                num_replicas=1,\n",
     "                                                auth_enabled = False)\n",
diff --git a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-training.ipynb b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-training.ipynb
index f0d645fe..f3cb1cd4 100644
--- a/how-to-use-azureml/deployment/accelerated-models/accelerated-models-training.ipynb
+++ b/how-to-use-azureml/deployment/accelerated-models/accelerated-models-training.ipynb
@@ -47,7 +47,7 @@
     "    * [Transfer Learning](#transfer-learning)\n",
     "    * [Transfer Learning with Custom Weights](#custom-weights)\n",
     "* [Create Image](#create-image)\n",
-    "* [Deploy Model](#deploy-model)\n",
+    "* [Deploy Image](#deploy-image)\n",
     "* [Test the service](#test-service)\n",
     "* [Clean-up](#cleanup)\n",
     "* [Appendix](#appendix)"
@@ -630,11 +630,12 @@
     "from azureml.core.compute import AksCompute, ComputeTarget\n",
     "\n",
     "# Uses the specific FPGA enabled VM (sku: Standard_PB6s)\n",
-    "# Authentication is enabled by default, but for testing we specify False\n",
+    "# Standard_PB6s are available in: eastus, westus2, westeurope, southeastasia\n",
     "prov_config = AksCompute.provisioning_configuration(vm_size = \"Standard_PB6s\",\n",
-    "                                                    agent_count = 1)\n",
+    "                                                    agent_count = 1,\n",
+    "                                                    location = \"eastus\")\n",
     "\n",
-    "aks_name = 'my-aks-pb6-training'\n",
+    "aks_name = 'aks-pb6-tl'\n",
     "# Create the cluster\n",
     "aks_target = ComputeTarget.create(workspace = ws, \n",
     "                                  name = aks_name, \n",
@@ -675,6 +676,7 @@
     "from azureml.core.webservice import Webservice, AksWebservice\n",
     "\n",
     "# Set the web service configuration (for creating a test service, we don't want autoscale enabled)\n",
+    "# Authentication is enabled by default, but for testing we specify False\n",
     "aks_config = AksWebservice.deploy_configuration(autoscale_enabled=False,\n",
     "                                                num_replicas=1,\n",
     "                                                auth_enabled = False)\n",