diff --git a/docs/source-pytorch/api_references.rst b/docs/source-pytorch/api_references.rst
index dcdf38d1b2919..497ac6d69f306 100644
--- a/docs/source-pytorch/api_references.rst
+++ b/docs/source-pytorch/api_references.rst
@@ -81,6 +81,8 @@ core
     ~optimizer.LightningOptimizer
 
 
+.. _loggers-api-references:
+
 loggers
 -------
 
diff --git a/docs/source-pytorch/common/remote_fs.rst b/docs/source-pytorch/common/remote_fs.rst
index 199cba4ea2bf3..1b842ca610077 100644
--- a/docs/source-pytorch/common/remote_fs.rst
+++ b/docs/source-pytorch/common/remote_fs.rst
@@ -17,7 +17,8 @@ Working with different filesystems can be accomplished by appending a protocol l
     trainer = Trainer(default_root_dir="s3://my_bucket/data/")
     trainer.fit(model)
 
-You could pass custom paths to loggers for logging data.
+
+For logging, remote filesystem support depends on the particular logger integration being used. Consult :ref:`the documentation of the individual logger <loggers-api-references>` for more details.
 
 .. code-block:: python
 
diff --git a/src/lightning/pytorch/loggers/csv_logs.py b/src/lightning/pytorch/loggers/csv_logs.py
index 5de0e27247faf..ee9267607d2c7 100644
--- a/src/lightning/pytorch/loggers/csv_logs.py
+++ b/src/lightning/pytorch/loggers/csv_logs.py
@@ -42,6 +42,8 @@ class ExperimentWriter(_FabricExperimentWriter):
     Currently, supports to log hyperparameters and metrics in YAML and CSV
     format, respectively.
 
+    This logger supports logging to remote filesystems via ``fsspec``. Make sure you have it installed.
+
     Args:
         log_dir: Directory for the experiment logs
     """
diff --git a/src/lightning/pytorch/loggers/tensorboard.py b/src/lightning/pytorch/loggers/tensorboard.py
index bcced33e5b9c3..4c033a2bc1a90 100644
--- a/src/lightning/pytorch/loggers/tensorboard.py
+++ b/src/lightning/pytorch/loggers/tensorboard.py
@@ -46,12 +46,15 @@
 
 class TensorBoardLogger(Logger, FabricTensorBoardLogger):
     r"""
-    Log to local file system in `TensorBoard <https://www.tensorflow.org/tensorboard>`_ format.
+    Log to local or remote file system in `TensorBoard <https://www.tensorflow.org/tensorboard>`_ format.
 
     Implemented using :class:`~tensorboardX.SummaryWriter`. Logs are saved to
     ``os.path.join(save_dir, name, version)``. This is the default logger in Lightning, it comes
     preinstalled.
 
+    This logger supports logging to remote filesystems via ``fsspec``. Make sure you have it installed
+    and you don't have tensorflow (otherwise it will use tf.io.gfile instead of fsspec).
+
     Example:
 
     .. testcode::