diff --git a/python/sglang/srt/model_executor/model_runner_kv_cache_mixin.py b/python/sglang/srt/model_executor/model_runner_kv_cache_mixin.py
index 60da20313..c46ff0a38 100644
--- a/python/sglang/srt/model_executor/model_runner_kv_cache_mixin.py
+++ b/python/sglang/srt/model_executor/model_runner_kv_cache_mixin.py
@@ -676,20 +676,18 @@ class ModelRunnerKVCacheMixin:
                 )
 
     def init_memory_pool(self: ModelRunner, pre_model_load_memory: int):
-        max_num_reqs = self.server_args.max_running_requests
         max_total_tokens = self.server_args.max_total_tokens
         self.max_total_num_tokens = self.profile_max_num_token(pre_model_load_memory)
 
-        if max_num_reqs is None:
-            max_num_reqs = min(
-                max(
-                    int(
-                        self.max_total_num_tokens / self.model_config.context_len * 512
-                    ),
-                    2048,
-                ),
-                4096,
+        # Resolve max_num_reqs (per dp worker)
+        max_num_reqs = self.server_args.max_running_requests
+        if max_num_reqs is not None:
+            max_num_reqs = max_num_reqs // self.dp_size
+        else:
+            estimated = int(
+                self.max_total_num_tokens / self.model_config.context_len * 512
             )
+            max_num_reqs = max(min(estimated, 4096), 2048)
 
         if self.mambaish_config is not None:
             ratio = self._calculate_mamba_ratio()
@@ -699,15 +697,6 @@ class ModelRunnerKVCacheMixin:
                 max_num_reqs, self.server_args.max_mamba_cache_size // ratio
             )
 
-            # for dp attention, we need control the max_num_reqs for speculative decoding mamba space
-            if (
-                not self.spec_algorithm.is_none()
-                and self.server_args.enable_dp_attention
-            ):
-                max_num_reqs = min(
-                    max_num_reqs, self.server_args.max_running_requests // self.dp_size
-                )
-
         if max_total_tokens is not None:
             if max_total_tokens > self.max_total_num_tokens:
                 logging.warning(