diff --git a/models/demos/wormhole/llama31_8b_N300/demo/demo.py b/models/demos/wormhole/llama31_8b_N300/demo/demo.py
index 76f1a1c9fdd3..c99db8278159 100644
--- a/models/demos/wormhole/llama31_8b_N300/demo/demo.py
+++ b/models/demos/wormhole/llama31_8b_N300/demo/demo.py
@@ -309,7 +309,7 @@ def run_llama_demo_n300(user_input, batch_size, device_mesh, instruct_mode, is_c
         # Compile
         decode_input = ttnn.unsqueeze_to_4D(tt_embd(tt_out_tok))
         tt_out = tt_model(decode_input, current_pos, current_pos_attn, rot_mat=current_rot_mat)
-        tt_out_gathered = ttnn.line_all_gather(tt_out, dim=3, num_links=1)
+        tt_out_gathered = ttnn.all_gather(tt_out, dim=3, num_links=1, topology=ttnn.Topology.Linear)
         ttnn.deallocate(tt_out)
         tt_out_rm = ttnn.untilize(tt_out_gathered, use_multicore=True)
         ttnn.deallocate(tt_out_gathered)
@@ -325,7 +325,7 @@ def run_llama_demo_n300(user_input, batch_size, device_mesh, instruct_mode, is_c
 
         decode_input = ttnn.unsqueeze_to_4D(tt_embd(tt_out_tok))
         tt_out = tt_model(decode_input, current_pos, current_pos_attn, rot_mat=current_rot_mat)
-        tt_out_gathered = ttnn.line_all_gather(tt_out, dim=3, num_links=1)
+        tt_out_gathered = ttnn.all_gather(tt_out, dim=3, num_links=1, topology=ttnn.Topology.Linear)
         ttnn.deallocate(tt_out)
         tt_out_rm = ttnn.untilize(tt_out_gathered, use_multicore=True)
         ttnn.deallocate(tt_out_gathered)
diff --git a/models/demos/wormhole/llama31_8b_N300/tt/llama_attention.py b/models/demos/wormhole/llama31_8b_N300/tt/llama_attention.py
index 91cc160a4734..14283898a7f7 100644
--- a/models/demos/wormhole/llama31_8b_N300/tt/llama_attention.py
+++ b/models/demos/wormhole/llama31_8b_N300/tt/llama_attention.py
@@ -358,7 +358,7 @@ def forward_decode(
             dense_outputs.append(dense_out)
 
         # All reduce
-        dense_out_gathered = ttnn.line_all_gather(dense_out, dim=1, num_links=1)
+        dense_out_gathered = ttnn.all_gather(dense_out, dim=1, num_links=1, topology=ttnn.Topology.Linear)
         dense_out_reduced = ttnn.experimental.fast_reduce_nc(
             dense_out_gathered, dims=[1], output=None, compute_kernel_config=None
         )
@@ -504,7 +504,7 @@ def forward_prefill(self, xs_11SH, rot_mats, transformation_mats, user_id: int =
         attn_output_11SH.deallocate(True)
 
         # All reduce
-        dense_out_gathered = ttnn.line_all_gather(output_11SH, dim=1, num_links=1)
+        dense_out_gathered = ttnn.all_gather(output_11SH, dim=1, num_links=1, topology=ttnn.Topology.Linear)
         dense_out_reduced = ttnn.experimental.fast_reduce_nc(
             dense_out_gathered, dims=[1], output=None, compute_kernel_config=None
         )
diff --git a/models/demos/wormhole/llama31_8b_N300/tt/llama_mlp.py b/models/demos/wormhole/llama31_8b_N300/tt/llama_mlp.py
index 5610add88336..f2c33b5214b6 100644
--- a/models/demos/wormhole/llama31_8b_N300/tt/llama_mlp.py
+++ b/models/demos/wormhole/llama31_8b_N300/tt/llama_mlp.py
@@ -148,7 +148,7 @@ def forward(self, x: ttnn.Tensor, mode) -> ttnn.Tensor:
             w2_out = ttnn.reshape(w2_out, [1, 1, seq_len, -1])
 
         # All reduce
-        w2_out_gathered = ttnn.line_all_gather(w2_out, dim=1, num_links=1)
+        w2_out_gathered = ttnn.all_gather(w2_out, dim=1, num_links=1, topology=ttnn.Topology.Linear)
         w2_out_reduced = ttnn.experimental.fast_reduce_nc(
             w2_out_gathered, dims=[1], output=None, compute_kernel_config=None
         )
diff --git a/tech_reports/Programming Mesh of Devices/Programming Mesh of Devices with TT-NN.md b/tech_reports/Programming Mesh of Devices/Programming Mesh of Devices with TT-NN.md
index bb10360833bf..e76a59392529 100644
--- a/tech_reports/Programming Mesh of Devices/Programming Mesh of Devices with TT-NN.md	
+++ b/tech_reports/Programming Mesh of Devices/Programming Mesh of Devices with TT-NN.md	
@@ -332,7 +332,7 @@ mesh_tensor = ttnn.from_torch(
 )
 
 # Execute Line All-Gather on the tensor
-output_tensor = ttnn.line_all_gather(mesh_tensor, dim=3, cluster_axis=0, mesh_device=mesh_device)
+output_tensor = ttnn.all_gather(mesh_tensor, dim=3, cluster_axis=0, mesh_device=mesh_device, topology=ttnn.Topology.Linear)
 ```
 
 
diff --git a/tests/ttnn/unit_tests/operations/test_all_gather_nightly.py b/tests/ttnn/unit_tests/operations/test_all_gather_nightly.py
index 279f629cfb9e..511e13e30ad3 100644
--- a/tests/ttnn/unit_tests/operations/test_all_gather_nightly.py
+++ b/tests/ttnn/unit_tests/operations/test_all_gather_nightly.py
@@ -73,7 +73,7 @@ def test_line_all_gather_on_t3000_nightly(
         mem_config,
         use_program_cache,
         function_level_defaults,
-        all_gather_operation=ttnn.line_all_gather,
+        all_gather_topology=ttnn.Topology.Linear,
         enable_async=enable_async,
         num_iters=num_iters,
     )
@@ -132,7 +132,7 @@ def test_line_all_gather_on_t3000_nightly_two_link(
         mem_config,
         use_program_cache,
         function_level_defaults,
-        all_gather_operation=ttnn.line_all_gather,
+        all_gather_topology=ttnn.Topology.Linear,
         num_iters=num_iters,
         enable_async=enable_async,
     )