diff --git a/tests/utils/loggers/test_tensorboard.py b/tests/utils/loggers/test_tensorboard.py
index 00da45b781..709c437cf0 100644
--- a/tests/utils/loggers/test_tensorboard.py
+++ b/tests/utils/loggers/test_tensorboard.py
@@ -9,17 +9,13 @@
 
 from __future__ import annotations
 
-import os
 import tempfile
 import unittest
 from unittest.mock import Mock, patch
 
-import torch.distributed.launcher as launcher
 from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
-from torch import distributed as dist
 
 from torchtnt.utils.loggers.tensorboard import TensorBoardLogger
-from torchtnt.utils.test_utils import get_pet_launch_config, skip_if_not_distributed
 
 
 class TensorBoardLoggerTest(unittest.TestCase):
@@ -74,26 +70,6 @@ def test_log_rank_zero(self: TensorBoardLoggerTest) -> None:
                 logger = TensorBoardLogger(path=log_dir)
                 self.assertEqual(logger.writer, None)
 
-    @staticmethod
-    def _test_distributed() -> None:
-        dist.init_process_group("gloo")
-        rank = dist.get_rank()
-        with tempfile.TemporaryDirectory() as log_dir:
-            test_path = "correct"
-            invalid_path = "invalid"
-            if rank == 0:
-                logger = TensorBoardLogger(os.path.join(log_dir, test_path))
-            else:
-                logger = TensorBoardLogger(os.path.join(log_dir, invalid_path))
-
-            assert test_path in logger.path
-            assert invalid_path not in logger.path
-
-    @skip_if_not_distributed
-    def test_multiple_workers(self: TensorBoardLoggerTest) -> None:
-        config = get_pet_launch_config(2)
-        launcher.elastic_launch(config, entrypoint=self._test_distributed)()
-
     def test_add_scalars_call_is_correctly_passed_to_summary_writer(
         self: TensorBoardLoggerTest,
     ) -> None:
diff --git a/torchtnt/utils/loggers/tensorboard.py b/torchtnt/utils/loggers/tensorboard.py
index 95ceb137ca..5f360c3216 100644
--- a/torchtnt/utils/loggers/tensorboard.py
+++ b/torchtnt/utils/loggers/tensorboard.py
@@ -53,9 +53,8 @@ class TensorBoardLogger(MetricLogger):
 
     def __init__(self: TensorBoardLogger, path: str, *args: Any, **kwargs: Any) -> None:
         self._writer: Optional[SummaryWriter] = None
-
+        self._path: str = path
         self._rank: int = get_global_rank()
-        self._sync_path_to_workers(path)
 
         if self._rank == 0:
             logger.info(
@@ -69,22 +68,6 @@ def __init__(self: TensorBoardLogger, path: str, *args: Any, **kwargs: Any) -> N
 
         atexit.register(self.close)
 
-    def _sync_path_to_workers(self: TensorBoardLogger, path: str) -> None:
-        if not (dist.is_available() and dist.is_initialized()):
-            self._path: str = path
-            return
-
-        pg = PGWrapper(dist.group.WORLD)
-        path_container: List[str] = [path] if self._rank == 0 else [""]
-        pg.broadcast_object_list(path_container, 0)
-        updated_path = path_container[0]
-        if updated_path != path:
-            # because the logger only logs on rank 0, if users pass in a different path
-            # the logger will output the wrong `path` property, so we update it to match
-            # the correct path.
-            logger.info(f"Updating TensorBoard path to match rank 0: {updated_path}")
-        self._path: str = updated_path
-
     @property
     def writer(self: TensorBoardLogger) -> Optional[SummaryWriter]:
         return self._writer