diff --git a/.jenkins/validate_tutorials_built.py b/.jenkins/validate_tutorials_built.py
index c19cae44bd..33be1680f0 100644
--- a/.jenkins/validate_tutorials_built.py
+++ b/.jenkins/validate_tutorials_built.py
@@ -39,7 +39,7 @@
     "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
     "advanced_source/semi_structured_sparse", # reenable after 3303 is fixed.
     "intermediate_source/torchrec_intro_tutorial.py", #failing with 2.8 reenable after 3498
-    "beginner_source/mosaic_memory_profiling_tutorial.py",  # failing with 2.11 issue #3774
+    #"beginner_source/mosaic_memory_profiling_tutorial.py",  # failing with 2.11 RC issue #3774
 ]
 
 def tutorial_source_dirs() -> List[Path]:
diff --git a/beginner_source/mosaic_memory_profiling_tutorial.py b/beginner_source/mosaic_memory_profiling_tutorial.py
index db188a5e90..4d0a19ee3e 100644
--- a/beginner_source/mosaic_memory_profiling_tutorial.py
+++ b/beginner_source/mosaic_memory_profiling_tutorial.py
@@ -306,7 +306,13 @@ def run_training_ac(
 
     # Load model
     print(f"Loading GPT-2 (activation_checkpointing={activation_checkpointing})...")
-    model = GPT2LMHeadModel.from_pretrained("gpt2")
+    # Disable dropout to avoid PyTorch 2.11 checkpoint recomputation bug (#3774).
+    # _VF.dropout returns NULL without setting an exception during backward
+    # recomputation of GPT2Block. Dropout is irrelevant to memory profiling.
+    # Original: model = GPT2LMHeadModel.from_pretrained("gpt2")
+    model = GPT2LMHeadModel.from_pretrained(
+        "gpt2", resid_pdrop=0, attn_pdrop=0, embd_pdrop=0
+    )
 
     if activation_checkpointing:
         model.gradient_checkpointing_enable()