diff --git a/cnn_classification_service/cnn_classifier.py b/cnn_classification_service/cnn_classifier.py
index 083ed02..35a3acd 100644
--- a/cnn_classification_service/cnn_classifier.py
+++ b/cnn_classification_service/cnn_classifier.py
@@ -38,7 +38,7 @@ class Classifier(object):
         spectogram = librosa.feature.melspectrogram(y=clip, sr=sample_rate)
         librosa.display.specshow(librosa.power_to_db(spectogram, ref=numpy.max))
 
-        target_dir = tempfile.mkdtemp()
+        target_dir = tempfile.mkdtemp(dir="/dev/shm")
         wav_basename = os.path.basename(wav_filename)
 
         # Change extension to jpg... mert 110% biztos vagyok benne hogy a keras nem bírná beolvasni máshogy
diff --git a/cnn_classification_service/magic_doer.py b/cnn_classification_service/magic_doer.py
index 3dea995..c0e19b9 100644
--- a/cnn_classification_service/magic_doer.py
+++ b/cnn_classification_service/magic_doer.py
@@ -17,7 +17,7 @@ class MagicDoer:
     @classmethod
     def run_everything(cls, parameters: dict) -> dict:
         tag = parameters['tag']
-        sample_file_handle, sample_file_path = tempfile.mkstemp(prefix=f"{tag}_", suffix=".wav")
+        sample_file_handle, sample_file_path = tempfile.mkstemp(prefix=f"{tag}_", suffix=".wav", dir="/dev/shm")
         response = None
         try: