diff --git a/tests/quick_test.py b/tests/quick_test.py
index 3ca5526..c092b48 100644
--- a/tests/quick_test.py
+++ b/tests/quick_test.py
@@ -9,6 +9,7 @@
 import logging
 from unittest.mock import patch
 
+import pandas as pd
 from sklearn.datasets import load_breast_cancer, load_diabetes
 from sklearn.model_selection import train_test_split
 
@@ -18,18 +19,27 @@
 
 logging.basicConfig(level=logging.INFO)
 
+def embiggen(x):
+        df = pd.DataFrame(x)
+        print(f"shape before: {df.shape}")
+        big = pd.concat([df] * 50, ignore_index=True)
+        print(f"shape after: {big.shape}")
+        return big
 
 if __name__ == "__main__":
     # Patch webbrowser.open to prevent browser login
     with patch("webbrowser.open", return_value=False):
-        use_server = True
-        # use_server = False
+        trigger_multi_gpu_threshold = True
 
         X, y = load_breast_cancer(return_X_y=True)
         X_train, X_test, y_train, y_test = train_test_split(
             X, y, test_size=0.33, random_state=42
         )
 
+        if trigger_multi_gpu_threshold:
+            X_train = embiggen(X_train)
+            y_train = embiggen(y_train).values.ravel()
+
         tabpfn = TabPFNClassifier.create_default_for_version(
             ModelVersion.V2_5, n_estimators=3
         )
@@ -49,6 +59,10 @@
             X, y, test_size=0.33, random_state=42
         )
 
+        if trigger_multi_gpu_threshold:
+            X_train = embiggen(X_train)
+            y_train = embiggen(y_train).values.ravel()
+
         tabpfn = TabPFNRegressor.create_default_for_version(
             ModelVersion.V2_5, n_estimators=3
         )