diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index cbc50a2..5c6bbda 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -321,12 +321,12 @@ def __init__(
                     "sklearn-compatible NeuralNet wrapper are supported for now! "
                     "See https://github.com/skorch-dev/skorch"
                 )
-            assert shap in ["tree", "linear", "deep", "kernel", "skorch"], (
-                "ERROR! Only shap='guess', 'tree', 'linear', ' kernel' or 'skorch' are "
-                " supported for now!"
+            assert shap in ["tree", "linear", "deep", "kernel", "skorch", "gputree"], (
+                "ERROR! Only shap='guess', 'tree', 'linear', ' kernel', 'skorch' "
+                "or 'gputree' are supported for now!"
             )
             self.shap = shap
-        if self.shap in {"kernel", "skorch", "linear"}:
+        if self.shap in {"kernel", "skorch", "linear", "gputree"}:
             print(
                 f"WARNING: For shap='{self.shap}', shap interaction values can unfortunately "
                 "not be calculated!"
@@ -1123,6 +1123,13 @@ def model_predict(data_asarray):
                     if self.X_background is not None
                     else shap.sample(self.X, 50),
                 )
+            elif self.shap == "gputree":
+                print(
+                    "Generating self.shap_explainer = shap.explainer.GPUTree(model, X)."
+                    "Make sure you have a cuda enabled GPU and followed installation"
+                    "instructions at https://shap.readthedocs.io/en/latest/example_notebooks/api_examples/explainers/GPUTree.html#"  # noqa: E501
+                )
+                self._shap_explainer = shap.explainers.GPUTree(self.model, self.X)
         return self._shap_explainer
 
     @insert_pos_label