diff --git a/concepts/deployment.mdx b/concepts/deployment.mdx
index 66ca7a9..9a23eb3 100644
--- a/concepts/deployment.mdx
+++ b/concepts/deployment.mdx
@@ -125,6 +125,32 @@ models:
       max_new_tokens: 250
 ```
 
+### Specifying CPU Type
+
+You can now specify the CPU type to be used during deployment by adding a `cpu_type` field to your YAML, or directly using the `--cpu` flag in the CLI:
+
+**YAML field:**
+```yaml
+deployment: !Deployment
+  destination: aws
+  endpoint_name: cpu-type-demo
+  instance_count: 1
+  instance_type: ml.m5.xlarge
+  cpu_type: intel
+
+models:
+  - !Model
+    id: google-bert/bert-base-uncased
+    source: huggingface
+```
+
+**CLI flag:**
+```sh
+magemaker --deploy your-model.yaml --cpu amd
+```
+
+> **Note:** The `--cpu` flag and corresponding YAML field let you control the CPU architecture (e.g., intel, amd, arm64) for your deployment on supported clouds/instance types.
+
 ## Cloud-Specific Instance Types
 
 ### AWS SageMaker Types
@@ -205,7 +231,6 @@ Choose your instance type based on your model's requirements:
 Make sure you setup budget monitory and alerts to avoid unexpected charges.
 </Warning>
 
-
 ## Troubleshooting Deployments
 
 Common issues and their solutions:
diff --git a/quick-start.mdx b/quick-start.mdx
index 5853ef8..00b34d6 100644
--- a/quick-start.mdx
+++ b/quick-start.mdx
@@ -21,6 +21,15 @@ Supported providers:
 - `--cloud azure` Azure Machine Learning deployment
 - `--cloud all` Configure all three providers at the same time
 
+You can also specify compute type with `--instance` and now **`--cpu`** for CPU selection:
+
+```sh
+magemaker --cloud aws --instance ml.m5.xlarge --cpu intel
+```
+
+- `--instance` Selects the instance type (e.g., `ml.m5.xlarge`, `g2-standard-12`, `Standard_DS3_v2`)
+- `--cpu` Specifies CPU type (e.g., `intel`, `amd`) **(New!)**
+
 
 ### List Models
 
@@ -60,6 +69,7 @@ deployment: !Deployment
   instance_type: ml.m5.xlarge
   num_gpus: null
   quantization: null
+  cpu: null     # optionally specify cpu: intel or amd (new)
 models:
   - !Model
     id: facebook/opt-125m
@@ -81,6 +91,7 @@ deployment: !Deployment
   accelerator_type: NVIDIA_L4
   num_gpus: null
   quantization: null
+  cpu: null     # optionally specify cpu: intel or amd (new)
 
 models:
   - !Model
@@ -100,6 +111,7 @@ deployment: !Deployment
   endpoint_name: facebook-opt-test
   instance_count: 1
   instance_type: Standard_DS3_v2
+  cpu: null     # optionally specify cpu: intel or amd (new)
 models:
   - !Model
     id: facebook--opt-125m
@@ -184,3 +196,4 @@ You can reach us, faizan & jneid, at [support@slashml.com](mailto:support@slashm
 If anything doesn't make sense or you have suggestions, do point them out at [magemaker.featurebase.app](https://magemaker.featurebase.app/).
 
 We'd love to hear from you! We're excited to learn how we can make this more valuable for the community and welcome any and all feedback and suggestions.
+