diff --git a/torchrec/distributed/planner/tests/test_storage_reservations.py b/torchrec/distributed/planner/tests/test_storage_reservations.py
index 4bc2b40f3..128f9f904 100644
--- a/torchrec/distributed/planner/tests/test_storage_reservations.py
+++ b/torchrec/distributed/planner/tests/test_storage_reservations.py
@@ -19,7 +19,7 @@
     _get_module_size,
     HeuristicalStorageReservation,
 )
-from torchrec.distributed.planner.types import Topology
+from torchrec.distributed.planner.types import PlannerError, PlannerErrorType, Topology
 
 from torchrec.distributed.test_utils.test_model import TestTowerInteraction
 from torchrec.distributed.types import ModuleSharder
@@ -36,6 +36,36 @@ def __init__(self, shardable_sparse: nn.Module) -> None:
 
 
 class TestHeuristicalStorageReservation(unittest.TestCase):
+
+    def test_validate_storage_reservations_errors(self) -> None:
+        tables = [
+            EmbeddingBagConfig(
+                num_embeddings=1_000_000,
+                embedding_dim=1024,
+                name="table_0",
+                feature_names=["feature_0"],
+            ),
+        ]
+
+        ebc = EmbeddingBagCollection(tables)
+        model = TestModel(shardable_sparse=ebc)
+
+        # Reserving 100% of HBM to make sure the heuristic storage reservation fails
+        heuristical_storage_reservation = HeuristicalStorageReservation(percentage=1)
+        with self.assertRaises(PlannerError) as context:
+            heuristical_storage_reservation.reserve(
+                topology=Topology(world_size=1, compute_device="cuda"),
+                batch_size=1024,
+                module=model,
+                sharders=cast(
+                    List[ModuleSharder[nn.Module]], [EmbeddingBagCollectionSharder()]
+                ),
+            )
+
+        self.assertEqual(
+            context.exception.error_type, PlannerErrorType.INSUFFICIENT_STORAGE
+        )
+
     def test_storage_reservations_ebc(self) -> None:
         tables = [
             EmbeddingBagConfig(