diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 6dc4776bb633..c3d432471b29 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -182,7 +182,6 @@ full:B300/disaggregated/test_disaggregated.py::test_disaggregated_ctxpp2_genpp2[
 full:B300/test_e2e.py::test_qwen_e2e_cpprunner_large_new_tokens[DeepSeek-R1-Distill-Qwen-1.5B-DeepSeek-R1-Distill-Qwen-1.5B] SKIP (https://nvbugs/6414760)
 full:DGX_B200/accuracy/test_disaggregated_serving.py::TestQwen3NextInstruct::test_auto_dtype[use_py_transceiver=True] SKIP (https://nvbugs/6501837)
 full:DGX_B200/accuracy/test_llm_api_pytorch.py::TestDeepSeekV4ProDSpark::test_gsm8k_dep8_megamoe_deepgemm SKIP (https://nvbugs/6506920)
-full:DGX_H100/unittest/_torch/multi_gpu/test_linear.py::test_column_linear[2-unbalanced] SKIP (https://nvbugs/6506918)
 full:DGX_H200/accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[disable_skip_indexer] SKIP (https://nvbugs/6476233)
 full:DGX_H200/accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[latency_default] SKIP (https://nvbugs/6476233)
 full:GB200/accuracy/test_dwdp_disaggregated_serving.py::TestDwdpDeepSeekV3Lite::test_dwdp_accuracy SKIP (https://nvbugs/6276923)
@@ -352,7 +351,6 @@ unittest/_torch/modules/moe/test_moe_backend.py::test_moe_backend[act=Relu2-e60_
 unittest/_torch/modules/moe/test_moe_module.py::test_configurable_moe_single_gpu -k "TRTLLM" SKIP (https://nvbugs/6464169)
 unittest/_torch/modules/tests_lora_modules/test_nemotron_h_lora_sanity.py::TestNemotronHLoRA::test_lora_pp2_sanity SKIP (https://nvbugs/6428124)
 unittest/_torch/multi_gpu/test_linear.py::test_row_linear[2-balanced] SKIP (https://nvbugs/6507113)
-unittest/_torch/multi_gpu/test_linear.py::test_row_linear[2-unbalanced] SKIP (https://nvbugs/6501394)
 unittest/_torch/multi_gpu/test_linear.py::test_row_linear_norm_fusion[2-hidden:16-seqlen:2] SKIP (https://nvbugs/6501404)
 unittest/_torch/ray_orchestrator/multi_gpu/test_llm_update_weights_multi_gpu.py -m "part0" SKIP (https://nvbugs/6490036)
 unittest/_torch/ray_orchestrator/multi_gpu/test_llm_update_weights_multi_gpu.py -m "part1" SKIP (https://nvbugs/6490036)
diff --git a/tests/unittest/_torch/multi_gpu/test_linear.py b/tests/unittest/_torch/multi_gpu/test_linear.py
index 8452baa19e7c..4db1c6b053ce 100644
--- a/tests/unittest/_torch/multi_gpu/test_linear.py
+++ b/tests/unittest/_torch/multi_gpu/test_linear.py
@@ -286,13 +286,8 @@ def test_column_linear(hidden_size, mpi_pool_executor):
         run_single_rank,
         *zip(*[(tensor_parallel_size, column_linear_forward, x, [l0_weight],
                 hidden_size, dtype)] * 2))
-    if hidden_size % 2 != 0:
-        with pytest.raises(AssertionError):
-            for r in results:
-                assert r is True
-    else:
-        for r in results:
-            assert r is True
+    for r in results:
+        assert r is True
 
 
 @pytest.mark.skipif(torch.cuda.device_count() < 2,
@@ -311,13 +306,8 @@ def test_row_linear(hidden_size, mpi_pool_executor):
         run_single_rank,
         *zip(*[(tensor_parallel_size, row_linear_forward, x, [l0_weight],
                 hidden_size, dtype)] * 2))
-    if hidden_size % 2 != 0:
-        with pytest.raises(AssertionError):
-            for r in results:
-                assert r is True
-    else:
-        for r in results:
-            assert r is True
+    for r in results:
+        assert r is True
 
 
 @pytest.mark.skipif(torch.cuda.device_count() < 2,