diff --git a/torchtitan/experiments/llama4/infra/parallelize.py b/torchtitan/experiments/llama4/infra/parallelize.py
index 33ff71a98..b1e60f996 100644
--- a/torchtitan/experiments/llama4/infra/parallelize.py
+++ b/torchtitan/experiments/llama4/infra/parallelize.py
@@ -21,11 +21,7 @@
 from torchtitan.config import JobConfig, TORCH_DTYPE_MAP
 from torchtitan.distributed import ParallelDims
 
-from torchtitan.models.llama3.infra.parallelize import (
-    apply_ac,
-    apply_compile,
-    apply_ddp,
-)
+from torchtitan.models.llama3.infra.parallelize import apply_ac, apply_ddp
 from torchtitan.tools.logging import logger
 
 from .expert_parallel import (
@@ -385,3 +381,19 @@ def apply_moe_ep_tp(
             device_mesh=experts_mesh,
             parallelize_plan=experts_plan,
         )
+
+
+def apply_compile(model: nn.Module):
+    """
+    Apply torch.compile to each TransformerBlock, which makes compilation efficient due to
+    repeated structure. Alternatively one can compile the whole model (after applying DP).
+    """
+    for layer_id, transformer_block in model.layers.named_children():
+        # TODO: remove when torch.compile supports fullgraph=True for llama4 moe
+        fullgraph = True
+        if transformer_block.moe_enabled:
+            fullgraph = False
+        transformer_block = torch.compile(transformer_block, fullgraph=fullgraph)
+        model.layers.register_module(layer_id, transformer_block)
+
+    logger.info("Compiling each TransformerBlock with torch.compile")