diff --git a/tests/integration/defs/stress_test/stress_test.py b/tests/integration/defs/stress_test/stress_test.py
index ade771cc5b..f81f0ab2bd 100644
--- a/tests/integration/defs/stress_test/stress_test.py
+++ b/tests/integration/defs/stress_test/stress_test.py
@@ -806,7 +806,7 @@ def create_aiperf_command(model_name,
         str(concurrency),
         "--warmup-request-count",
         str(warmup_request_count),
-        "--verbose",
+        # "--verbose",
     ]
 
 
@@ -1145,15 +1145,21 @@ def run_accuracy_test(model_path: str,
         return False, None
 
 
-def extract_stress_test_metrics(artifacts_dir="./artifacts",
-                                current_model=None):
+def extract_stress_test_metrics(artifacts_dir=None, current_model=None):
     """
     Extract stress test metrics from the artifacts directory
 
     Args:
-        artifacts_dir (str): Path to the artifacts directory
+        artifacts_dir (str): Path to the artifacts directory. If None, defaults to
+                            the 'artifacts' directory at the defs level (parent of stress_test)
         current_model (str, optional): If provided, only analyze artifacts for this model
     """
+    # Set default artifacts_dir relative to this script's location
+    # The artifacts are at defs/artifacts/, one level up from stress_test/
+    if artifacts_dir is None:
+        script_dir = os.path.dirname(os.path.abspath(__file__))
+        artifacts_dir = os.path.join(script_dir, "..", "artifacts")
+
     # Find all profile_export_aiperf.json files in the artifacts directory
     json_files = glob(os.path.join(artifacts_dir,
                                    "**/profile_export_aiperf.json"),
@@ -1211,17 +1217,25 @@ def extract_stress_test_metrics(artifacts_dir="./artifacts",
                                             {}).get("avg", 0)
                 tokThroughput = results.get("output_token_throughput",
                                             {}).get("avg", 0)
-                conCurrency = results.get("input_config", {}).get(
-                    "perf_analyzer", {}).get("stimulus",
-                                             {}).get("concurrency", 0)
+                conCurrency = results.get("input_config",
+                                          {}).get("loadgen",
+                                                  {}).get("concurrency", 0)
+                if conCurrency == 0:
+                    conCurrency = results.get("input_config", {}).get(
+                        "perf_analyzer", {}).get("stimulus",
+                                                 {}).get("concurrency", 0)
 
                 # Try to determine model name from directory structure first
                 if first_dir in model_name_map:
                     modelName = model_name_map[first_dir]
                 else:
                     # Fall back to model name from JSON if we can't extract from directory
-                    modelName = results.get("input_config",
-                                            {}).get("model", ["unknown"])
+                    modelName = results.get("input_config", {}).get(
+                        "endpoint", {}).get("model_names", None)
+                    if modelName is None:
+                        modelName = results.get("input_config",
+                                                {}).get("model_names",
+                                                        ["unknown"])
                     modelName = modelName[0] if isinstance(modelName,
                                                            list) else modelName
 
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 73d357b205..c951848315 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -133,7 +133,6 @@ perf/test_perf.py::test_perf[bart_large_cnn-bench-float16-input_output_len:128,2
 perf/test_perf.py::test_perf[mamba_130m-bench-float16-input_output_len:128,128] SKIP (https://nvbugspro.nvidia.com/bug/5295411)
 perf/test_perf.py::test_perf[bert_large-bench-float16-maxbs:32-input_len:128+512] SKIP (https://nvbugspro.nvidia.com/bug/5295411)
 perf/test_perf.py::test_perf[roberta_base-bench-float16-maxbs:32-input_len:128+512] SKIP (https://nvbugspro.nvidia.com/bug/5295411)
-stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] SKIP (https://nvbugs/5328495)
 examples/test_mistral.py::test_llm_mistral_v1_1gpu[mistral-7b-v0.1-float16-max_attention_window_size_4096-summarization_long] SKIP (https://nvbugs/5324976)
 examples/test_medusa.py::test_llm_medusa_with_qaunt_base_model_1gpu[fp8-use_py_session-medusa-vicuna-7b-v1.3-4-heads-float16-bs1] SKIP (https://nvbugs/5333849)
 examples/test_multimodal.py::test_llm_multimodal_general[Llama-3.2-11B-Vision-pp:1-tp:1-bfloat16-bs:1-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5333818)
@@ -302,7 +301,6 @@ cpp/test_e2e.py::test_model[-redrafter-86] SKIP (https://nvbugs/5761642)
 unittest/_torch/thop/parallel/test_fp8_block_scale_gemm.py::test_deep_gemm_in_subprocess[env2] SKIP (https://nvbugs/5766853)
 test_e2e.py::test_openai_responses SKIP (https://nvbugs/5804146)
 triton_server/test_triton.py::test_gpt_gather_logits[gpt-gather-logits] SKIP (https://nvbugs/5766960)
-stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-GUARANTEED_NO_EVICT-pytorch-stress-test] SKIP (https://nvbugs/5766952)
 full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=2] SKIP (https://nvbugs/5596337)
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ngram SKIP (https://nvbugs/5768068)
 test_e2e.py::test_eagle3_output_consistency_4gpus[Qwen3/saved_models_Qwen3-235B-A22B_fp8_hf-Qwen3/qwen3-235B-eagle3] SKIP (https://nvbugs/5685010)