diff --git a/src/sagemaker_inference/environment.py b/src/sagemaker_inference/environment.py
index 89c68e7..b7eab8a 100644
--- a/src/sagemaker_inference/environment.py
+++ b/src/sagemaker_inference/environment.py
@@ -26,6 +26,7 @@
 DEFAULT_STARTUP_TIMEOUT = "600"  # 10 minutes
 DEFAULT_HTTP_PORT = "8080"
 DEFAULT_VMARGS = "-XX:-UseContainerSupport"
+DEFAULT_MAX_REQUEST_SIZE = None
 
 SAGEMAKER_BASE_PATH = os.path.join("/opt", "ml")  # type: str
 
@@ -81,6 +82,9 @@ def __init__(self):
         self._management_http_port = os.environ.get(parameters.BIND_TO_PORT_ENV, DEFAULT_HTTP_PORT)
         self._safe_port_range = os.environ.get(parameters.SAFE_PORT_RANGE_ENV)
         self._vmargs = os.environ.get(parameters.MODEL_SERVER_VMARGS, DEFAULT_VMARGS)
+        self._max_request_size_in_mb = os.environ.get(
+            parameters.MAX_REQUEST_SIZE, DEFAULT_MAX_REQUEST_SIZE
+        )
 
     @staticmethod
     def _parse_module_name(program_param):
@@ -147,3 +151,11 @@ def safe_port_range(self):  # type: () -> str
     def vmargs(self):  # type: () -> str
         """str: vmargs can be provided for the JVM, to be overriden"""
         return self._vmargs
+
+    @property
+    def max_request_size(self):  # type: () -> str
+        """str: max request size set by Sagemaker platform in bytes"""
+        if self._max_request_size_in_mb is not None:
+            return int(self._max_request_size_in_mb) * 1024 * 1024
+        else:
+            return None
diff --git a/src/sagemaker_inference/model_server.py b/src/sagemaker_inference/model_server.py
index 4d3be2e..e315f58 100644
--- a/src/sagemaker_inference/model_server.py
+++ b/src/sagemaker_inference/model_server.py
@@ -160,6 +160,7 @@ def _generate_mms_config_properties(env, handler_service=None):
         "inference_address": "http://0.0.0.0:{}".format(env.inference_http_port),
         "management_address": "http://0.0.0.0:{}".format(env.management_http_port),
         "vmargs": env.vmargs,
+        "max_request_size": env.max_request_size,
     }
     # If provided, add handler service to user config
     if handler_service:
diff --git a/src/sagemaker_inference/parameters.py b/src/sagemaker_inference/parameters.py
index d1f438b..ca92a04 100644
--- a/src/sagemaker_inference/parameters.py
+++ b/src/sagemaker_inference/parameters.py
@@ -25,3 +25,4 @@
 BIND_TO_PORT_ENV = "SAGEMAKER_BIND_TO_PORT"  # type: str
 SAFE_PORT_RANGE_ENV = "SAGEMAKER_SAFE_PORT_RANGE"  # type: str
 MULTI_MODEL_ENV = "SAGEMAKER_MULTI_MODEL"  # type: str
+MAX_REQUEST_SIZE = "SAGEMAKER_MAX_PAYLOAD_IN_MB"  # type: str
diff --git a/test/unit/test_environment.py b/test/unit/test_environment.py
index afb90de..d1cb4e7 100644
--- a/test/unit/test_environment.py
+++ b/test/unit/test_environment.py
@@ -29,6 +29,7 @@
         parameters.BIND_TO_PORT_ENV: "1738",
         parameters.SAFE_PORT_RANGE_ENV: "1111-2222",
         parameters.MODEL_SERVER_VMARGS: "-XX:-UseContainerSupport",
+        parameters.MAX_REQUEST_SIZE: "10",
     },
     clear=True,
 )
@@ -47,6 +48,7 @@ def test_env():
     assert env.management_http_port == "1738"
     assert env.safe_port_range == "1111-2222"
     assert "-XX:-UseContainerSupport" in env.vmargs
+    assert env.max_request_size == 10 * 1024 * 1024
 
 
 @pytest.mark.parametrize("sagemaker_program", ["program.py", "program"])