diff --git a/src/nos/data/pulsating_sphere.py b/src/nos/data/pulsating_sphere.py
index 13eab36..04e9c05 100644
--- a/src/nos/data/pulsating_sphere.py
+++ b/src/nos/data/pulsating_sphere.py
@@ -60,8 +60,8 @@ def __init__(
 
     def __getitem__(self, idx: int) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]:
         """Get item at idx from dataset."""
-        x_min = torch.tensor([[0.0], [-1.0], [0.0], [-1.0], [400.0]]).to("cuda")
-        x_scale = torch.tensor([[1.0], [1.0], [1.0], [1.0], [100.0]]).to("cuda")
+        x_min = torch.tensor([[0.0], [-1.0], [0.0], [-1.0], [400.0]])
+        x_scale = torch.tensor([[1.0], [1.0], [1.0], [1.0], [100.0]])
         x = ((self.x[idx] - x_min) / x_scale) * 2.0 - 1.0
         v_max, _ = torch.max(torch.abs(self.v[idx]), dim=-1, keepdim=True)
 
@@ -130,8 +130,8 @@ def __init__(
         y = y.expand(n_observations, -1, -1)
 
         v = torch.cat([top_samples, right_samples, frequency_samples], dim=1).unsqueeze(-1)
-        self.v_min = torch.tensor([[0.0], [-1.0], [0.0], [-1.0], [400.0]]).to("cuda")
-        self.v_scale = torch.tensor([[1.0], [1.0], [1.0], [1.0], [100.0]]).to("cuda")
+        self.v_min = torch.tensor([[0.0], [-1.0], [0.0], [-1.0], [400.0]])
+        self.v_scale = torch.tensor([[1.0], [1.0], [1.0], [1.0], [100.0]])
         v = v.expand(-1, -1, y.size(-1))
 
         perm = torch.randperm(n_observations)