diff --git a/checkpoint/orbax/checkpoint/experimental/v1/_src/training/pathways/snapshotter.py b/checkpoint/orbax/checkpoint/experimental/v1/_src/training/pathways/snapshotter.py
index 2836d15f7..48795d2c4 100644
--- a/checkpoint/orbax/checkpoint/experimental/v1/_src/training/pathways/snapshotter.py
+++ b/checkpoint/orbax/checkpoint/experimental/v1/_src/training/pathways/snapshotter.py
@@ -21,6 +21,8 @@
 import jax
 from orbax.checkpoint.experimental.v1 import training
 from orbax.checkpoint.experimental.v1._src.tree import types as tree_types
+from pathwaysutils.experimental import concatenate_by_mesh_axis
+from pathwaysutils.experimental import split_by_mesh_axis
 
 
 class Snapshotter:
@@ -28,8 +30,9 @@ class Snapshotter:
 
   _snapshots: collections.deque[tuple[tree_types.PyTree, int]]
 
-  def __init__(self):
+  def __init__(self, *, replica_axis_index: int = 0):
     self._snapshots = collections.deque(maxlen=2)
+    self.replica_axis_index = replica_axis_index
 
   def save_pytree(self, step: int, state: Any) -> None:
     """Move arrays onto CPU worker devices."""
@@ -61,11 +64,40 @@ def load_pytree(self, abstract_state: Any) -> tree_types.PyTree:
 
     pinned_state, _ = self._snapshots[-1]
 
+    def is_replica_active(arr):
+      try:
+        jax.block_until_ready(arr)
+        return True
+      except jax.errors.JaxRuntimeError as _:
+        return False
+
+    def get_active_pytree(x):
+      mesh_axis_name = x.sharding.mesh.axis_names[self.replica_axis_index]
+      all_replicas = split_by_mesh_axis.split_by_mesh_axis(
+          x,
+          mesh_axis_name,
+      )
+
+      active_replicas = [
+          replica for replica in all_replicas if is_replica_active(replica)
+      ]
+
+      reconstructed_state = concatenate_by_mesh_axis.concatenate_by_mesh_axis(
+          active_replicas,
+          mesh_axis_name,
+      )
+      return reconstructed_state
+
+    pinned_state = jax.tree.map(get_active_pytree, pinned_state)
+
     # Re-shard on host to the target device mesh
     host_target_shardings = jax.tree.map(
         lambda x: x.sharding.with_memory_kind("pinned_host"), abstract_state
     )
-    host_target_state = jax.device_put(pinned_state, host_target_shardings)
+
+    host_target_state = jax.device_put(
+        pinned_state, host_target_shardings
+    )
 
     # Move from host back to device (TPU) memory.
     restored_state = jax.device_put(