diff --git a/composer/loggers/tensorboard_logger.py b/composer/loggers/tensorboard_logger.py
index 32faf0448b..bd7dbb4775 100644
--- a/composer/loggers/tensorboard_logger.py
+++ b/composer/loggers/tensorboard_logger.py
@@ -5,6 +5,7 @@
 
 from pathlib import Path
 from typing import Any, Optional, Sequence, Union
+from urllib.parse import urlparse
 
 import numpy as np
 import torch
@@ -108,9 +109,16 @@ def _initialize_summary_writer(self):
 
         assert self.run_name is not None
         assert self.log_dir is not None
-        # We name the child directory after the run_name to ensure the run_name shows up
-        # in the Tensorboard GUI.
-        summary_writer_log_dir = Path(self.log_dir) / self.run_name
+
+        parsed = urlparse(self.log_dir)
+        # TODO: Handle other remote storage schemes
+        if parsed.scheme == 's3':
+            scheme, bucket, prefix, _, _, _ = parsed
+            summary_writer_log_dir = f"{scheme}://{bucket}/{prefix.strip('/')}/{self.run_name}"
+        else:
+            # We name the child directory after the run_name to ensure the run_name shows up
+            # in the Tensorboard GUI.
+            summary_writer_log_dir = str(Path(self.log_dir) / self.run_name)
 
         # Disable SummaryWriter's internal flushing to avoid file corruption while
         # file staged for upload to an ObjectStore.
diff --git a/tests/loggers/test_tensorboard_logger.py b/tests/loggers/test_tensorboard_logger.py
index 904da6f252..af90fb705f 100644
--- a/tests/loggers/test_tensorboard_logger.py
+++ b/tests/loggers/test_tensorboard_logger.py
@@ -3,6 +3,8 @@
 
 from typing import Sequence
 
+import boto3
+import moto
 import pytest
 import torch
 
@@ -52,3 +54,20 @@ def test_tensorboard_log_image(test_tensorboard_logger, dummy_state):
     logger = Logger(dummy_state, [])
     test_tensorboard_logger.close(dummy_state, logger)
     # Tensorboard images are stored inline, so we can't check them automatically.
+
+
+@moto.mock_aws
+def test_tensorboard_logger_s3_log_dir(dummy_state):
+    bucket_name = 'test-tensorboard-bucket'
+    s3 = boto3.client('s3')
+    s3.create_bucket(Bucket=bucket_name)
+
+    test_s3_log_dir = f's3://{bucket_name}/log_prefix'
+
+    dummy_state.run_name = 'tensorboard-test-log-s3'
+    logger = Logger(dummy_state, [])
+    tensorboard_logger = TensorboardLogger(log_dir=test_s3_log_dir)
+    tensorboard_logger.init(dummy_state, logger)
+    assert tensorboard_logger.writer is not None
+    expected_log_dir = f'{test_s3_log_dir}/{dummy_state.run_name}'
+    assert tensorboard_logger.writer.log_dir == expected_log_dir