diff --git a/src/lightning/app/components/multi_node/trainer.py b/src/lightning/app/components/multi_node/trainer.py
index aaa52fad34..047b781cb9 100644
--- a/src/lightning/app/components/multi_node/trainer.py
+++ b/src/lightning/app/components/multi_node/trainer.py
@@ -52,7 +52,7 @@ class _LightningTrainerRunExecutor(_PyTorchSpawnRunExecutor):
             try:
                 pkg = importlib.import_module(pkg_name)
                 trainers.append(pkg.Trainer)
-                strategies.append(pkg.strategies.DDPSpawnStrategy)
+                strategies.append(pkg.strategies.DDPStrategy)
                 mps_accelerators.append(pkg.accelerators.MPSAccelerator)
             except (ImportError, ModuleNotFoundError):
                 continue
diff --git a/tests/tests_app/components/multi_node/test_trainer.py b/tests/tests_app/components/multi_node/test_trainer.py
index a3bb2ea91b..55282f82f7 100644
--- a/tests/tests_app/components/multi_node/test_trainer.py
+++ b/tests/tests_app/components/multi_node/test_trainer.py
@@ -93,4 +93,4 @@ def test_trainer_run_executor_arguments_choices(
 @pytest.mark.skipif(not module_available("lightning"), reason="lightning not available")
 def test_trainer_run_executor_invalid_strategy_instances():
     with pytest.raises(ValueError, match="DDP Spawned strategies aren't supported yet."):
-        _, _ = _get_args_after_tracer_injection(strategy=pl.strategies.DDPSpawnStrategy())
+        _, _ = _get_args_after_tracer_injection(strategy=pl.strategies.DDPStrategy(start_method="spawn"))