diff --git a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py
index 2c6fe00303e5..713da2bdeab6 100644
--- a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py
+++ b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py
@@ -1978,6 +1978,11 @@ def _fp8_block_scaling_gemm_sm100_constraint(inputs: List[List[int]]) -> int:
     return inputs[0][0]
 
 
+def _fp8_block_scaling_gemm_sm120_constraint(inputs: List[List[int]]) -> int:
+    # SM120 activation scales are [padded_m, k // 512].
+    return fp4_utils.pad_up(inputs[0][0], 4)
+
+
 def _fp8_quantize_1x128_sm90_constraint(inputs: List[List[int]]) -> int:
     # The implementation aligns with the fp8_quantize_1x128 custom op.
     pad_m = fp4_utils.pad_up(inputs[0][0], 4)
@@ -1988,6 +1993,9 @@ def _fp8_quantize_1x128_sm90_constraint(inputs: List[List[int]]) -> int:
 @lru_cache(maxsize=None)
 def _get_fp8_block_scaling_gemm_constraint_spec(
         sm_version: int) -> Tuple[ConstraintSpec, ...]:
+    if sm_version == 120:
+        return (ConstraintSpec(2, 0,
+                               _fp8_block_scaling_gemm_sm120_constraint), )
     if sm_version >= 100:
         return (ConstraintSpec(2, 1,
                                _fp8_block_scaling_gemm_sm100_constraint), )
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 264fa36fb1b3..13f402129b7a 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -59,7 +59,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-dp4-cutl
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-ep4-cutlass-auto] SKIP (https://nvbugs/5596343)
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-tp4-cutlass-auto] SKIP (https://nvbugs/5596343)
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto] SKIP (https://nvbugs/5596343)
-accuracy/test_llm_api_pytorch.py::TestLagunaXS::test_nvfp4 SKIP (https://nvbugs/6647310)
 accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_bfloat16_4gpus[tp4-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5616182)
 accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[pp4-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/6437412)
 accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[pp4-fp8kv=True-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/6278337)
@@ -271,7 +270,6 @@ full:L40S/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_
 full:L40S/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp1pp2] SKIP (https://nvbugs/6649818)
 full:L40S/disaggregated/test_disaggregated.py::test_disaggregated_deepseek_v3_lite_fp8_attention_dp_overlap[DeepSeek-V3-Lite-fp8] SKIP (https://nvbugs/6581064)
 full:L40S/disaggregated/test_disaggregated.py::test_disaggregated_logprobs_serving[llama-3.1-8b-instruct] SKIP (https://nvbugs/6275959)
-full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestLagunaXS::test_fp8 SKIP (https://nvbugs/6652876)
 full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5929339)
 full:RTX_6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_5_35B_A3B::test_bf16[tp1-CUTLASS] SKIP (https://nvbugs/6273850)
 full:RTX_6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_5_35B_A3B::test_bf16_mtp SKIP (https://nvbugs/6275856)