diff --git a/nerfstudio/configs/method_configs.py b/nerfstudio/configs/method_configs.py
index a78823995..e0f5a3d65 100644
--- a/nerfstudio/configs/method_configs.py
+++ b/nerfstudio/configs/method_configs.py
@@ -222,7 +222,7 @@ method_configs["depth-nerfacto"] = TrainerConfig(
             _target=VanillaDataManager[DepthDataset],
             pixel_sampler=PairPixelSamplerConfig(),
             dataparser=NerfstudioDataParserConfig(),
-            train_num_rays_per_batch=4096,
+            train_num_rays_per_batch=32768,
             eval_num_rays_per_batch=4096,
         ),
         model=DepthNerfactoModelConfig(
diff --git a/nerfstudio/models/depth_nerfacto.py b/nerfstudio/models/depth_nerfacto.py
index 1a47ab163..5cc980c0c 100644
--- a/nerfstudio/models/depth_nerfacto.py
+++ b/nerfstudio/models/depth_nerfacto.py
@@ -29,6 +29,7 @@ from nerfstudio.model_components import losses
 from nerfstudio.model_components.losses import DepthLossType, depth_loss, depth_ranking_loss
 from nerfstudio.models.nerfacto import NerfactoModel, NerfactoModelConfig
 from nerfstudio.utils import colormaps
+from nerfstudio.model_components.scene_colliders import AABBBoxCollider
 
 
 @dataclass
@@ -70,6 +71,10 @@ class DepthNerfactoModel(NerfactoModel):
         else:
             self.depth_sigma = torch.tensor([self.config.depth_sigma])
 
+        # self.collider = NearFarCollider(near_plane=self.config.near_plane, far_plane=self.config.far_plane)
+        # import pdb; pdb.set_trace();
+        self.collider = AABBBoxCollider(scene_box=self.scene_box)
+
     def get_outputs(self, ray_bundle: RayBundle):
         outputs = super().get_outputs(ray_bundle)
         if ray_bundle.metadata is not None and "directions_norm" in ray_bundle.metadata: