diff --git a/test/test_multitensor.py b/test/test_multitensor.py
index 6410257ec7908..6262f28fa2c78 100644
--- a/test/test_multitensor.py
+++ b/test/test_multitensor.py
@@ -355,15 +355,6 @@ def test_reshape_on_axis_uneven(self):
     np.testing.assert_allclose(t0.numpy().flatten(), t1.numpy().flatten())
     assert t1.lazydata.axis == 2
 
-  def test_mlb_assign_change_axis(self):
-    devices = (d0, d1)
-
-    t_none = Tensor.zeros((16, 16)).shard(devices).contiguous().realize()
-    t_zero = Tensor.ones((16, 16)).shard(devices, axis=0)
-    with self.assertRaises(AssertionError):
-      # don't allow assigns that change axes
-      t_none.assign(t_zero)
-
 @unittest.skipIf(CI and Device.DEFAULT in {"GPU", "CUDA", "METAL"}, "no GPU CI")
 class TestShrinkMultiTensorShardedAxis(unittest.TestCase):
   # shrink a multitensor on sharded axis
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index f823727de1feb..e643b52917594 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -142,8 +142,6 @@ def assign(self, x) -> Tensor:
     if x.__class__ is not Tensor: x = Tensor(x, device=self.device, dtype=self.dtype)
     # NOTE: we allow cross device assign
     assert self.shape == x.shape, f"assign shape mismatch {self.shape} != {x.shape}"
-    if isinstance(self.lazydata, MultiLazyBuffer):
-      assert self.lazydata.axis == x.lazydata.axis
     assert not x.requires_grad  # self requires_grad is okay?
     if DEBUG >= 4: print(f"assign {self.lazydata} <- {x.lazydata}")
     if self.dtype == x.dtype and not getenv("DISALLOW_ASSIGN"):