diff --git a/src/sagemaker/serve/builder/model_builder.py b/src/sagemaker/serve/builder/model_builder.py
index a7a518105c..2ea331ee4c 100644
--- a/src/sagemaker/serve/builder/model_builder.py
+++ b/src/sagemaker/serve/builder/model_builder.py
@@ -1621,7 +1621,6 @@ def deploy(
         """
         if not hasattr(self, "built_model"):
             raise ValueError("Model Needs to be built before deploying")
-        endpoint_name = unique_name_from_base(endpoint_name)
         if not inference_config:  # Real-time Deployment
             return self.built_model.deploy(
                 instance_type=self.instance_type,
@@ -1655,6 +1654,7 @@ def deploy(
             # Multi Model and MultiContainer endpoints with Inference Component
             return self.built_model.deploy(
                 instance_type=self.instance_type,
+                endpoint_name=endpoint_name,
                 mode=Mode.SAGEMAKER_ENDPOINT,
                 endpoint_type=EndpointType.INFERENCE_COMPONENT_BASED,
                 resources=inference_config,
diff --git a/tests/unit/sagemaker/serve/builder/test_model_builder.py b/tests/unit/sagemaker/serve/builder/test_model_builder.py
index 107d65c301..b7c38fad68 100644
--- a/tests/unit/sagemaker/serve/builder/test_model_builder.py
+++ b/tests/unit/sagemaker/serve/builder/test_model_builder.py
@@ -4080,6 +4080,7 @@ def test_neuron_configurations_rule_set(self):
                 "instance_type": "ml.g5.2xlarge",
                 "mode": Mode.SAGEMAKER_ENDPOINT,
                 "endpoint_type": EndpointType.INFERENCE_COMPONENT_BASED,
+                "endpoint_name": "test",
             },
         },
         {