diff --git a/ndsl/initialization/allocator.py b/ndsl/initialization/allocator.py
index 66332ec8..a8b3efbc 100644
--- a/ndsl/initialization/allocator.py
+++ b/ndsl/initialization/allocator.py
@@ -13,26 +13,6 @@
 from ndsl.quantity import Quantity, QuantityHaloSpec
 
 
-class _Allocator:
-    def __init__(self, backend: str) -> None:
-        """
-        Initialize an object that provides gt4py storage objects for zeros(), ones(), and empty().
-
-        Args:
-            backend: GT4Py backend name used for performance-optimized allocation.
-        """
-        self.backend = backend
-
-    def empty(self, *args: Any, **kwargs: Any) -> np.ndarray:
-        return gt_storage.empty(*args, backend=self.backend, **kwargs)
-
-    def ones(self, *args: Any, **kwargs: Any) -> np.ndarray:
-        return gt_storage.ones(*args, backend=self.backend, **kwargs)
-
-    def zeros(self, *args: Any, **kwargs: Any) -> np.ndarray:
-        return gt_storage.zeros(*args, backend=self.backend, **kwargs)
-
-
 class QuantityFactory:
     def __init__(self, sizer: GridSizer, *, backend: str) -> None:
         """
@@ -45,8 +25,6 @@ def __init__(self, sizer: GridSizer, *, backend: str) -> None:
         self.sizer = sizer
         self.backend = backend
 
-        self._allocator = _Allocator(self.backend)
-
     def update_data_dimensions(
         self,
         data_dimension_descriptions: dict[str, int],
@@ -111,7 +89,7 @@ def empty(
 
         Equivalent to `numpy.empty`"""
         return self._allocate(
-            self._allocator.empty, dims, units, dtype, allow_mismatch_float_precision
+            gt_storage.empty, dims, units, dtype, allow_mismatch_float_precision
         )
 
     def zeros(
@@ -126,7 +104,7 @@ def zeros(
 
         Equivalent to `numpy.zeros`"""
         return self._allocate(
-            self._allocator.zeros, dims, units, dtype, allow_mismatch_float_precision
+            gt_storage.zeros, dims, units, dtype, allow_mismatch_float_precision
         )
 
     def ones(
@@ -141,7 +119,7 @@ def ones(
 
         Equivalent to `numpy.ones`"""
         return self._allocate(
-            self._allocator.ones, dims, units, dtype, allow_mismatch_float_precision
+            gt_storage.ones, dims, units, dtype, allow_mismatch_float_precision
         )
 
     def full(
@@ -157,7 +135,7 @@ def full(
 
         Equivalent to `numpy.full`"""
         quantity = self._allocate(
-            self._allocator.empty,
+            gt_storage.empty,
             dims,
             units,
             dtype,
@@ -235,12 +213,15 @@ def _allocate(
                 zip(dims, ("I", "J", "K", *([None] * (len(dims) - 3))))
             )
         ]
-        try:
-            data = allocator(
-                shape, dtype=dtype, aligned_index=origin, dimensions=dimensions
-            )
-        except TypeError:
-            data = allocator(shape, dtype=dtype)
+
+        data = allocator(
+            shape,
+            dtype=dtype,
+            aligned_index=origin,
+            dimensions=dimensions,
+            backend=self.backend,
+        )
+
         return Quantity(
             data,
             dims=dims,