diff --git a/aten/src/ATen/native/cuda/Reduce.cuh b/aten/src/ATen/native/cuda/Reduce.cuh
index 15a572804af5f..521b467480900 100644
--- a/aten/src/ATen/native/cuda/Reduce.cuh
+++ b/aten/src/ATen/native/cuda/Reduce.cuh
@@ -209,6 +209,10 @@ struct ReduceConfig {
   int values_per_thread() const {
     return div_up(num_inputs, step_input);
   }
+
+  int mock_values_per_thread(int parallelism) {
+    return div_up(num_inputs, step_input * parallelism);
+  }
 };
 
 std::ostream& operator<<(std::ostream& out, const ReduceConfig& config);
@@ -1166,8 +1170,17 @@ ReduceConfig setReduceConfig(const TensorIterator& iter){
     else if (config.ctas_per_output < 16)
       config.ctas_per_output = 1;
     bool is_channel_last = iter.tensor_base(1).is_contiguous(at::MemoryFormat::ChannelsLast);
-    if (iter.ndim() == 3 && !reduction_on_fastest_striding_dimension && !is_channel_last)
+    if (iter.ndim() == 3 && !reduction_on_fastest_striding_dimension && !is_channel_last) {
       config.ctas_per_output = 4;
+      int vpt = config.values_per_thread();
+      // Capping the number of values per thread to 2048 for now
+      // based on known use cases.
+      while (vpt >= 2048) {
+        config.ctas_per_output *= 2;
+        // Computes the new values per thread without side effects
+        vpt = config.mock_values_per_thread(config.ctas_per_output);
+      }
+    }
 #endif
     if (config.ctas_per_output > 1) {
       config.input_mult[2] = config.split_input(config.ctas_per_output);