diff --git a/monai/apps/auto3dseg/data_analyzer.py b/monai/apps/auto3dseg/data_analyzer.py
index 2df043e506..ded6390601 100644
--- a/monai/apps/auto3dseg/data_analyzer.py
+++ b/monai/apps/auto3dseg/data_analyzer.py
@@ -320,6 +320,9 @@ def _get_all_case_stats(
         )
         result_bycase: dict[DataStatsKeys, Any] = {DataStatsKeys.SUMMARY: {}, DataStatsKeys.BY_CASE: []}
         device = self.device if self.device.type == "cpu" else torch.device("cuda", rank)
+        if device.type == "cuda" and not (torch.cuda.is_available() and torch.cuda.device_count() > 0):
+            logger.info(f"device={device} but CUDA device is not available, using CPU instead.")
+            device = torch.device("cpu")
         if not has_tqdm:
             warnings.warn("tqdm is not installed. not displaying the caching progress.")
 
@@ -332,12 +335,12 @@ def _get_all_case_stats(
                     label = torch.argmax(label, dim=0) if label.shape[0] > 1 else label[0]
                     batch_data[self.label_key] = label.to(device)
                 d = summarizer(batch_data)
-            except BaseException:
+            except BaseException as err:
                 if "image_meta_dict" in batch_data.keys():
                     filename = batch_data["image_meta_dict"]["filename_or_obj"]
                 else:
                     filename = batch_data[self.image_key].meta["filename_or_obj"]
-                logger.info(f"Unable to process data {filename} on {device}.")
+                logger.info(f"Unable to process data {filename} on {device}. {err}")
                 if self.device.type == "cuda":
                     logger.info("DataAnalyzer `device` set to GPU execution hit an exception. Falling back to `cpu`.")
                     batch_data[self.image_key] = batch_data[self.image_key].to("cpu")