diff --git a/test/test_multitensor.py b/test/test_multitensor.py
index 4e9d52fb29..375a6825f4 100644
--- a/test/test_multitensor.py
+++ b/test/test_multitensor.py
@@ -33,10 +33,6 @@ def _test_allreduce(t:Tensor):
   b.realize()
   return aa, b
 
-def _test_multiple_to_single_device(ring:int) -> Tensor:
-  t = Tensor.empty(32).shard(devices_4, 0).to(Device.DEFAULT)
-  with Context(RING=ring, SCACHE=0): return t.realize()
-
 @unittest.skipIf(not_support_multi_device(), "no multi")
 class TestMultiTensor(unittest.TestCase):
   @needs_second_gpu
@@ -261,13 +257,16 @@ class TestMultiTensor(unittest.TestCase):
       np.testing.assert_almost_equal(a.numpy(), b.numpy(), decimal=5)
 
   def test_multiple_to_single_device_naive(self):
-    t = _test_multiple_to_single_device(0)
+    with Context(RING=0):
+      t = Tensor.arange(32).shard(devices_4, 0).to(Device.DEFAULT).realize()
     self.assertEqual(t.device, Device.DEFAULT)
+    np.testing.assert_equal(t.numpy(), np.arange(32))
 
-  @unittest.skip("TODO: ring allreduce ignores target device")
   def test_multiple_to_single_device_ring(self):
-    t = _test_multiple_to_single_device(2)
+    with Context(RING=2):
+      t = Tensor.arange(32).shard(devices_4, 0).to(Device.DEFAULT).realize()
     self.assertEqual(t.device, Device.DEFAULT)
+    np.testing.assert_equal(t.numpy(), np.arange(32))
 
   def test_allreduce_all2all(self):
     with Context(ALL2ALL=2):
diff --git a/tinygrad/schedule/multi.py b/tinygrad/schedule/multi.py
index b6a502c845..b9a41c3f77 100644
--- a/tinygrad/schedule/multi.py
+++ b/tinygrad/schedule/multi.py
@@ -71,7 +71,8 @@ def handle_allreduce(buf:UOp, red:UOp) -> UOp|None:
   # allgather
   copied_chunks = []
   for i,rc in enumerate(reduced_chunks):
-    if use_all2all: copied_chunks.append(UOp(Ops.MSTACK, buf.dtype, tuple(rc.copy_to_device(buf.device[j]) for j in range(n_lbs))))
+    if isinstance(red.src[1].arg, str): copied_chunks.append(rc.copy_to_device(red.src[1].arg))
+    elif use_all2all: copied_chunks.append(UOp(Ops.MSTACK, buf.dtype, tuple(rc.copy_to_device(buf.device[j]) for j in range(n_lbs))))
     else:
       this_chunk: list[UOp|None] = [None] * n_lbs
       this_chunk[(i+n_lbs-1)%n_lbs] = rc