diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3b5e1974ab..b7178a4b01 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -106,6 +106,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed parsing of multiple training dataloaders ([#7433](https://github.com/PyTorchLightning/pytorch-lightning/pull/7433))
 
 
+- Fixed broadcasting in multi-node, multi-gpu DDP using torch 1.7 ([#7592](https://github.com/PyTorchLightning/pytorch-lightning/pull/7592))
+
+
 - Fixed `ProgressBar` pickling after calling `trainer.predict` ([#7608](https://github.com/PyTorchLightning/pytorch-lightning/pull/7608))
 
 
diff --git a/pytorch_lightning/overrides/torch_distributed.py b/pytorch_lightning/overrides/torch_distributed.py
index 67b64c046d..ebee83828e 100644
--- a/pytorch_lightning/overrides/torch_distributed.py
+++ b/pytorch_lightning/overrides/torch_distributed.py
@@ -3,7 +3,7 @@ import pickle
 
 import torch
 
-from pytorch_lightning.utilities.imports import _TORCH_GREATER_EQUAL_1_7
+from pytorch_lightning.utilities.imports import _TORCH_GREATER_EQUAL_1_8
 
 log = logging.getLogger(__name__)
 
@@ -88,7 +88,7 @@ def _broadcast_object_list(object_list, src=0, group=None):
             object_list[i] = _tensor_to_object(obj_view, obj_size)
 
 
-if _TORCH_GREATER_EQUAL_1_7 and torch.distributed.is_available():
+if _TORCH_GREATER_EQUAL_1_8 and torch.distributed.is_available():
     from torch.distributed.distributed_c10d import broadcast_object_list
 else:
     broadcast_object_list = _broadcast_object_list