diff --git a/flax/jax_utils.py b/flax/jax_utils.py
index c62ecec55..1e4c3f1a1 100644
--- a/flax/jax_utils.py
+++ b/flax/jax_utils.py
@@ -42,7 +42,15 @@ def replicate(tree, devices=None):
     A new pytree containing the replicated arrays.
   """
   devices = devices or _pmap_device_order()
-  return jax.device_put_replicated(tree, devices)
+  mesh = jax.sharding.Mesh(np.array(devices), ('_device_put_sharded',))
+  sharding = jax.NamedSharding(mesh, jax.P('_device_put_sharded'))
+
+  def _replicate(x):
+    if isinstance(x, jax.Array):
+      return jax.device_put(jnp.stack([x] * len(devices)), sharding)
+    return jax.device_put(np.stack([x] * len(devices)), sharding)
+
+  return jax.tree_util.tree_map(_replicate, tree)
 
 
 def unreplicate(tree):
@@ -153,7 +161,11 @@ def prefetch_to_device(iterator, size, devices=None):
   devices = _pmap_device_order() if devices is None else devices
 
   def _prefetch(xs):
-    return jax.device_put_sharded(list(xs), devices)
+    mesh = jax.sharding.Mesh(np.array(devices), ('_device_put_sharded',))
+    sharding = jax.NamedSharding(mesh, jax.P('_device_put_sharded'))
+    if isinstance(xs, jax.Array):
+      return jax.device_put(jnp.stack(list(xs)), sharding)
+    return jax.device_put(np.stack(list(xs)), sharding)
 
   def enqueue(n):  # Enqueues *up to* `n` elements from the iterator.
     for data in itertools.islice(iterator, n):