diff --git a/src/sagemaker/predictor_async.py b/src/sagemaker/predictor_async.py
index 15b5d454d3..9eebdf781e 100644
--- a/src/sagemaker/predictor_async.py
+++ b/src/sagemaker/predictor_async.py
@@ -40,6 +40,9 @@ def __init__(
             predictor (sagemaker.predictor.Predictor): General ``Predictor``
                 object has useful methods and variables. ``AsyncPredictor``
                 stands on top of it with capability for async inference.
+            name (str): Optional. Name used as the prefix of the Amazon S3 key when
+                input data is uploaded for async inference. If not specified, the
+                endpoint name is used. (Default: None)
         """
         warn_v2_deprecation(
             feature="AsyncPredictor",
@@ -174,10 +177,13 @@ def _upload_data_to_s3(
             my_uuid = str(uuid.uuid4())
             timestamp = sagemaker_timestamp()
             bucket = self.sagemaker_session.default_bucket()
+            # ``name`` is optional; fall back to the endpoint name so the default
+            # ``AsyncPredictor(predictor)`` construction can upload input data.
+            base_name = self.name or self.endpoint_name
             key = s3.s3_path_join(
                 self.sagemaker_session.default_bucket_prefix,
                 "async-endpoint-inputs",
-                name_from_base(self.name, short=True),
+                name_from_base(base_name, short=True),
                 "{}-{}".format(timestamp, my_uuid),
             )
 
diff --git a/tests/unit/test_predictor_async.py b/tests/unit/test_predictor_async.py
index c9f12ff023..eb229a0cc9 100644
--- a/tests/unit/test_predictor_async.py
+++ b/tests/unit/test_predictor_async.py
@@ -170,6 +170,31 @@ def test_async_predict_call_with_data():
     assert result.output_path == ASYNC_OUTPUT_LOCATION
 
 
+def test_async_predict_call_with_data_and_no_name():
+    # Regression test for https://github.com/aws/sagemaker-python-sdk/issues/3210
+    sagemaker_session = empty_sagemaker_session()
+    predictor_async = AsyncPredictor(Predictor(ENDPOINT, sagemaker_session))
+    assert predictor_async.name is None
+
+    result = predictor_async.predict_async(data=DUMMY_DATA)
+
+    _, put_kwargs = sagemaker_session.s3_client.put_object.call_args
+    assert put_kwargs["Bucket"] == BUCKET_NAME
+    assert put_kwargs["Key"].startswith("async-endpoint-inputs/{}-".format(ENDPOINT))
+    assert predictor_async._input_path == "s3://{}/{}".format(BUCKET_NAME, put_kwargs["Key"])
+    assert result.output_path == ASYNC_OUTPUT_LOCATION
+
+
+def test_async_predict_call_with_data_and_name_uses_name():
+    sagemaker_session = empty_sagemaker_session()
+    predictor_async = AsyncPredictor(Predictor(ENDPOINT, sagemaker_session), name=ASYNC_PREDICTOR)
+
+    predictor_async.predict_async(data=DUMMY_DATA)
+
+    _, put_kwargs = sagemaker_session.s3_client.put_object.call_args
+    assert put_kwargs["Key"].startswith("async-endpoint-inputs/{}-".format(ASYNC_PREDICTOR))
+
+
 def test_async_predict_call_with_data_and_input_path():
     sagemaker_session = empty_sagemaker_session()
     predictor_async = AsyncPredictor(Predictor(ENDPOINT, sagemaker_session))