diff --git a/distributed/FSDP/T5_training.py b/distributed/FSDP/T5_training.py
index 1aae5d0990..4ab136eace 100644
--- a/distributed/FSDP/T5_training.py
+++ b/distributed/FSDP/T5_training.py
@@ -121,6 +121,7 @@ def fsdp_main(args):
         device_id=torch.cuda.current_device(),
         limit_all_gathers=fsdp_config.limit_all_gathers)
     
+    # Enabling this causes https://github.com/pytorch/examples/issues/1210
     if fsdp_config.fsdp_activation_checkpointing:
         policies.apply_fsdp_checkpointing(model)
 
diff --git a/distributed/FSDP/configs/fsdp.py b/distributed/FSDP/configs/fsdp.py
index 301771cd26..220cc67c55 100644
--- a/distributed/FSDP/configs/fsdp.py
+++ b/distributed/FSDP/configs/fsdp.py
@@ -8,7 +8,7 @@ class fsdp_config:
     mixed_precision: bool=True
     use_fp16: bool=False
     seed: int=42
-    fsdp_activation_checkpointing: bool=True
+    fsdp_activation_checkpointing: bool=False
     limit_all_gathers: bool=True
     sharding_strategy: ShardingStrategy = ShardingStrategy.FULL_SHARD #HYBRID_SHARD, SHARD_GRAD_OP
     checkpoint_type: StateDictType = StateDictType.FULL_STATE_DICT # alternatively can use SHARDED_STATE_DICT to avoid OOMs