diff --git a/src/TensorFlowNET.Keras/KerasInterface.cs b/src/TensorFlowNET.Keras/KerasInterface.cs
index eb14a795..02362a55 100644
--- a/src/TensorFlowNET.Keras/KerasInterface.cs
+++ b/src/TensorFlowNET.Keras/KerasInterface.cs
@@ -25,7 +25,8 @@ namespace Tensorflow.Keras
         public LossesApi losses { get; } = new LossesApi();
         public Activations activations { get; } = new Activations();
         public Preprocessing preprocessing { get; } = new Preprocessing();
-        public BackendImpl backend { get; } = new BackendImpl();
+        ThreadLocal<BackendImpl> _backend = new ThreadLocal<BackendImpl>(() => new BackendImpl());
+        public BackendImpl backend => _backend.Value;
         public OptimizerApi optimizers { get; } = new OptimizerApi();
         public MetricsApi metrics { get; } = new MetricsApi();
         public ModelsApi models { get; } = new ModelsApi();
diff --git a/test/TensorFlowNET.Keras.UnitTest/MultiThreadsTest.cs b/test/TensorFlowNET.Keras.UnitTest/MultiThreadsTest.cs
index cc8ac451..555154d7 100644
--- a/test/TensorFlowNET.Keras.UnitTest/MultiThreadsTest.cs
+++ b/test/TensorFlowNET.Keras.UnitTest/MultiThreadsTest.cs
@@ -60,9 +60,9 @@ namespace TensorFlowNET.Keras.UnitTest
 
             //act
             ParallelOptions parallelOptions = new ParallelOptions();
-            parallelOptions.MaxDegreeOfParallelism = 1;
+            parallelOptions.MaxDegreeOfParallelism = 8;
             var input = np.array(new float[,] { { 0, 0 } });
-            Parallel.For(0, 1, parallelOptions, i =>
+            Parallel.For(0, 8, parallelOptions, i =>
             {
                 var clone = BuildModel();
                 clone.load_weights(savefile);