diff --git a/colossalai/gemini/placement_policy.py b/colossalai/gemini/placement_policy.py
index 5ae1dfaa1..ec6afbc07 100644
--- a/colossalai/gemini/placement_policy.py
+++ b/colossalai/gemini/placement_policy.py
@@ -58,13 +58,13 @@ class CUDAPlacementPolicy(PlacementPolicy):
 class AutoPlacementPolicy(PlacementPolicy):
 
     need_mem_stats: bool = True
+    # model data will use 1-_warmup_non_model_data_ratio CUDA memory in warmup phase
+    # you can set them by AutoPlacementPolicy.set_warmup_non_model_data_ratio() and AutoPlacementPolicy.set_steady_cuda_cap_ratio()
+    _warmup_non_model_data_ratio: float = 0.8
+    _steady_cuda_cap_ratio: float = 0.9
 
     def __init__(self, chunk_manager: ChunkManager, mem_stats_collector: Optional[MemStatsCollectorV2] = None) -> None:
         super().__init__(chunk_manager, mem_stats_collector=mem_stats_collector)
-        # model data will use 1-self._warmup_non_model_data_ratio CUDA memory in warmup phase
-        # TODO(ver217): make these args configurable
-        self._warmup_non_model_data_ratio: float = 0.8
-        self._steady_cuda_cap_ratio: float = 0.9
 
     def evict_tensors(self,
                       can_evict_chunks: List[Chunk],
@@ -94,11 +94,11 @@ class AutoPlacementPolicy(PlacementPolicy):
         used_cuda_model_data = self.chunk_manager.total_mem['cuda']
         if warmup:
             # We designate a part of CUDA memory for model data in warmup iterations.
-            max_cuda_non_model_data_per_period = cuda_capacity * self._warmup_non_model_data_ratio
+            max_cuda_non_model_data_per_period = cuda_capacity * AutoPlacementPolicy._warmup_non_model_data_ratio
         else:
             # max non-model-data cuda memory consumption of this sampling moment and the next sampling moment.
             max_cuda_non_model_data_per_period = self.mem_stats_collector.next_period_non_model_data_usage('cuda')
-            cuda_capacity *= self._steady_cuda_cap_ratio
+            cuda_capacity *= AutoPlacementPolicy._steady_cuda_cap_ratio
         total_cuda_model_data = cuda_capacity - max_cuda_non_model_data_per_period
         avail_cuda_model_data = total_cuda_model_data - used_cuda_model_data
         freed_cuda_model_data = 0
@@ -133,6 +133,18 @@ class AutoPlacementPolicy(PlacementPolicy):
         next_compute_idx = sorted(next_compute_idx.items(), key=lambda pair: pair[1], reverse=True)
         return [t for (t, idx) in next_compute_idx]
 
+    @staticmethod
+    def set_warmup_non_model_data_ratio(ratio: float) -> None:
+        ratio = float(ratio)
+        assert 0.0 < ratio < 1.0
+        AutoPlacementPolicy._warmup_non_model_data_ratio = ratio
+
+    @staticmethod
+    def set_steady_cuda_cap_ratio(ratio: float) -> None:
+        ratio = float(ratio)
+        assert 0.0 < ratio < 1.0
+        AutoPlacementPolicy._steady_cuda_cap_ratio = ratio
+
 
 class PlacementPolicyFactory:
     policies: Dict[str, PlacementPolicy] = {