diff --git a/tribev2/demo_utils.py b/tribev2/demo_utils.py
index fa735a7..792d82f 100644
--- a/tribev2/demo_utils.py
+++ b/tribev2/demo_utils.py
@@ -177,7 +177,9 @@ def from_pretrained(
             Cluster backend forwarded to feature-extractor infra
             (``"auto"`` by default).
         device:
-            Torch device string.  ``"auto"`` selects CUDA when available.
+            Torch device. ``"auto"`` selects CUDA > MPS > CPU.
+            Note: feature extractors (text, audio, video) always run on CPU
+            regardless of the specified device.
         config_update:
             Optional dictionary of config overrides applied after the
             YAML config is loaded.
@@ -190,7 +192,12 @@ def from_pretrained(
         if cache_folder is not None:
             Path(cache_folder).mkdir(parents=True, exist_ok=True)
         if device == "auto":
-            device = "cuda" if torch.cuda.is_available() else "cpu"
+            if torch.cuda.is_available():
+                device = "cuda"
+            elif torch.backends.mps.is_available():
+                device = "mps"
+            else:
+                device = "cpu"
         checkpoint_dir = Path(checkpoint_dir)
         if checkpoint_dir.exists():
             config_path = checkpoint_dir / "config.yaml"
@@ -203,6 +210,12 @@ def from_pretrained(
             ckpt_path = hf_hub_download(repo_id, checkpoint_name)
         with open(config_path, "r") as f:
             config = ConfDict(yaml.load(f, Loader=yaml.UnsafeLoader))
+        if device in ("cpu", "mps"):  # mps not supported by neuralset extractors
+            # Override all extractor devices to cpu when cuda is unavailable
+            for modality in ["text", "audio"]:
+                config[f"data.{modality}_feature.device"] = "cpu"
+            config["data.image_feature.image.device"] = "cpu"
+            config["data.video_feature.image.device"] = "cpu"
         for modality in ["text", "audio", "video"]:
             config[f"data.{modality}_feature.infra.folder"] = cache_folder
             config[f"data.{modality}_feature.infra.cluster"] = cluster