diff --git a/application/backend/src/main.py b/application/backend/src/main.py
index 5d753c8dcf..35a3b0c675 100644
--- a/application/backend/src/main.py
+++ b/application/backend/src/main.py
@@ -1,6 +1,7 @@
 # Copyright (C) 2025 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import multiprocessing as mp
 import os
 
 import uvicorn
@@ -63,6 +64,9 @@
 
 
 if __name__ == "__main__":
+    if mp.get_start_method(allow_none=True) != "spawn":
+        mp.set_start_method("spawn", force=True)
+
     settings = get_settings()
     uvicorn_port = int(os.environ.get("HTTP_SERVER_PORT", settings.port))
     uvicorn.run("main:app", loop="uvloop", host=settings.host, port=uvicorn_port, log_config=None)
diff --git a/application/backend/src/services/training_service.py b/application/backend/src/services/training_service.py
index ec54009ed6..73798cf058 100644
--- a/application/backend/src/services/training_service.py
+++ b/application/backend/src/services/training_service.py
@@ -9,6 +9,7 @@
 from anomalib.data.utils import ValSplitMode
 from anomalib.deploy import ExportType
 from anomalib.engine import Engine
+from anomalib.engine.strategy.xpu_single import SingleXPUStrategy
 from anomalib.loggers import AnomalibTensorBoardLogger
 from anomalib.models import get_model
 from loguru import logger
@@ -214,6 +215,7 @@ def _train_model(
             max_epochs=max_epochs,
             callbacks=[GetiInspectProgressCallback(synchronization_parameters)],
             accelerator=training_device,
+            **({"strategy": SingleXPUStrategy()} if training_device == "xpu" else {}),
         )
 
         # Execute training and export