diff --git a/ppfleetx/models/language_model/gpt/dygraph/hybrid_model.py b/ppfleetx/models/language_model/gpt/dygraph/hybrid_model.py
index ab0b93727..362b05e8d 100644
--- a/ppfleetx/models/language_model/gpt/dygraph/hybrid_model.py
+++ b/ppfleetx/models/language_model/gpt/dygraph/hybrid_model.py
@@ -975,7 +975,8 @@ def __init__(self,
                  recompute_granularity="full",
                  virtual_pp_degree=1,
                  sequence_parallel=False,
-                 no_recompute_layers=None):
+                 no_recompute_layers=None,
+                 pp_recompute_interval=1):
 
         # forward desc
         self.descs = []
@@ -1057,7 +1058,11 @@ def _logits_helper(embedding, output):
 
         recompute_interval = 0
         if recompute and recompute_granularity == "full":
-            recompute_interval = 1
+            assert pp_recompute_interval <= \
+                   num_layers // (virtual_pp_degree *
+                                  fleet.get_hybrid_communicate_group().topology().get_dim_size("pipe")), \
+                "pp recompute interval should smaller than num layers of each pp chunk"
+            recompute_interval = pp_recompute_interval
 
         super().__init__(
             layers=self.descs,
diff --git a/ppfleetx/utils/config.py b/ppfleetx/utils/config.py
index 08704d501..82a1ac50f 100644
--- a/ppfleetx/utils/config.py
+++ b/ppfleetx/utils/config.py
@@ -38,6 +38,7 @@ def process_dist_config(configs):
 
     mp_degree = config.setdefault("mp_degree", 1)
     pp_degree = config.setdefault("pp_degree", 1)
+    pp_recompute_interval = config.setdefault("pp_recompute_interval", 1)
 
     # sharding default
     sharding_config = config['sharding']