diff --git a/jax/_src/interpreters/pxla.py b/jax/_src/interpreters/pxla.py
index 2667176d24d1..85dd03ee3407 100644
--- a/jax/_src/interpreters/pxla.py
+++ b/jax/_src/interpreters/pxla.py
@@ -2037,6 +2037,12 @@ def to_gspmd_sharding(s: sharding_impls.XLACompatibleSharding,
                          memory_kind=s.memory_kind)
 
 
+# Dummy function which is a no-op in OSS since enhanced barrier is switched on
+# in OSS.
+def spmd_mode_check(da_object, inline):
+  return
+
+
 @profiler.annotate_function
 def lower_sharding_computation(
     closed_jaxpr: core.ClosedJaxpr,
@@ -2127,19 +2133,7 @@ def lower_sharding_computation(
       da_object,
       it.chain(in_shardings, out_shardings, [js for js, _ in jaxpr_sharding]))  # type: ignore
 
-  if not da_object.is_fully_addressable:  # type: ignore
-    if inline and config.spmd_mode.value != 'allow_all':
-      raise RuntimeError(
-          "Running operations on `Array`s that are not fully addressable by this "
-          "process (i.e. `Array`s with data sharded across multiple devices and "
-          "processes.) is dangerous. It’s very important that all processes run "
-          "the same cross-process computations in the same order otherwise it "
-          "can lead to hangs. "
-          "If you’re not already familiar with JAX’s multi-process "
-          "programming model, please read "
-          "https://jax.readthedocs.io/en/latest/multi_process.html. "
-          "To fix this error, run your `jitted` computation inside "
-          "`with jax.spmd_mode('allow_all'):` context manager.")
+  spmd_mode_check(da_object, inline)
 
   # 2. Build up the HLO
   semantic_in_shardings = SemanticallyEqualShardings(