diff --git a/tests/integration/defs/agg_unit_mem_df.csv b/tests/integration/defs/agg_unit_mem_df.csv
index e0b8f14fbb27..12c220501c5f 100644
--- a/tests/integration/defs/agg_unit_mem_df.csv
+++ b/tests/integration/defs/agg_unit_mem_df.csv
@@ -138,3 +138,7 @@ unittest/_torch/misc,NVIDIA H100,4,
 unittest/_torch/thop/parallel,NVIDIA H100,16,
 unittest/_torch/thop/parallel_hw_agnostic,NVIDIA H100,16,
 unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py,NVIDIA H100 PCIe,1,
+unittest/_torch/attention,NVIDIA GB300,4,
+unittest/_torch/thop/parallel,NVIDIA GB300,16,
+unittest/_torch/thop/serial,NVIDIA GB300,4,
+unittest/_torch/executor,NVIDIA GB300,4,
diff --git a/tests/integration/defs/test_unittests.py b/tests/integration/defs/test_unittests.py
index da4e71922ad0..a535044e69af 100644
--- a/tests/integration/defs/test_unittests.py
+++ b/tests/integration/defs/test_unittests.py
@@ -84,13 +84,19 @@ def test_unittests_v2(llm_root, llm_venv, case: str, output_dir, request):
 
     # This dataframe is not manually edited. Infra team will regularly generate this dataframe based on test execution results.
     # If you need to override this policy, please use postprocess code as below.
-    agg_unit_mem_df = pd.read_csv(
-        f'{test_root}/integration/defs/agg_unit_mem_df.csv')
+    agg_unit_mem_path = f'{test_root}/integration/defs/agg_unit_mem_df.csv'
+    print(f'Loading unittest parallel config from: {agg_unit_mem_path}')
+    agg_unit_mem_df = pd.read_csv(agg_unit_mem_path)
     gpu_handle = pynvml.nvmlDeviceGetHandleByIndex(0)
     gpu_name = pynvml.nvmlDeviceGetName(gpu_handle)
     if isinstance(gpu_name, bytes):
         gpu_name = gpu_name.decode()
+    print(f'GPU name from NVML (index 0): {gpu_name!r}')
+    print(f'GPU names available in parallel config: '
+          f'{sorted(agg_unit_mem_df["gpu"].dropna().unique().tolist())}')
     agg_unit_mem_df = agg_unit_mem_df[agg_unit_mem_df['gpu'] == gpu_name]
+    print(f'Matched parallel config rows for GPU {gpu_name!r}: '
+          f'{len(agg_unit_mem_df)}')
     print(agg_unit_mem_df)
 
     parallel_dict = {}
@@ -101,6 +107,7 @@ def test_unittests_v2(llm_root, llm_venv, case: str, output_dir, request):
     print(parallel_dict)
 
     cur_key = (gpu_name, case)
+    print(f'Parallel config lookup key: {cur_key!r}')
     if cur_key in parallel_dict:
         num_workers = parallel_dict[cur_key]
         num_workers = min(num_workers, 8)
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 008aeef59266..54bae2a7999d 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -260,7 +260,6 @@ full:GB300/accuracy/test_llm_api_pytorch.py::TestQwen3_5_35B_A3B::test_fp8_moe_d
 full:GB300/accuracy/test_llm_api_pytorch_multimodal.py::TestExaone4_5_33B::test_auto_dtype[forced_chunked_prefill] SKIP (https://nvbugs/6422318)
 full:GB300/accuracy/test_llm_api_pytorch_multimodal.py::TestExaone4_5_33B::test_auto_dtype[full_budget] SKIP (https://nvbugs/6422318)
 full:GB300/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:GB300/unittest/_torch/thop/parallel SKIP (https://nvbugs/6422443)
 full:GH200/examples/test_nemotron.py::test_llm_nemotron_3_8b_1gpu[bfloat16-fp8] SKIP (arm is not supported)
 full:GH200/examples/test_qwen2audio.py::test_llm_qwen2audio_single_gpu[qwen2_audio_7b_instruct] SKIP (arm is not supported)
 full:H100/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=2-overlap_scheduler=False] SKIP (https://nvbugs/6313072)