diff --git a/tests/integration/defs/accuracy/test_cli_flow.py b/tests/integration/defs/accuracy/test_cli_flow.py
index 0dab161a8b8..85b168d4535 100644
--- a/tests/integration/defs/accuracy/test_cli_flow.py
+++ b/tests/integration/defs/accuracy/test_cli_flow.py
@@ -987,7 +987,8 @@ def test_tp2(self):
     @pytest.mark.parametrize(
         "moe_tp_size", [1, 4, 8],
         ids=['expert_parallel', 'mixed_parallel', 'tensor_parallel'])
-    def test_ootb_except_mha_tp8(self, moe_tp_size):
+    def test_ootb_except_mha_tp8(self, moe_tp_size, mocker):
+        mocker.patch.object(CnnDailymail, "MAX_BATCH_SIZE", 1)
         self.run(tp_size=8,
                  extra_convert_args=[
                      f"--moe_tp_size={moe_tp_size}",
diff --git a/tests/integration/defs/accuracy/test_llm_api.py b/tests/integration/defs/accuracy/test_llm_api.py
index d97f518616e..8e64ffacf87 100644
--- a/tests/integration/defs/accuracy/test_llm_api.py
+++ b/tests/integration/defs/accuracy/test_llm_api.py
@@ -113,6 +113,7 @@ class TestMixtral8x7B(LlmapiAccuracyTestHarness):
     MODEL_NAME = "mistralai/Mixtral-8x7B-v0.1"
     MODEL_PATH = f"{llm_models_root()}/Mixtral-8x7B-v0.1"
 
+    @pytest.mark.skip_less_device_memory(80000)
     @pytest.mark.skip_less_device(2)
     def test_tp2(self):
         with LLM(self.MODEL_PATH, tensor_parallel_size=2) as llm:
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 4b09d0d94d5..3a0781802a0 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -970,6 +970,7 @@ class TestLlama3_3NemotronSuper49Bv1(LlmapiAccuracyTestHarness):
     MODEL_PATH = f"{llm_models_root()}/nemotron-nas/Llama-3_3-Nemotron-Super-49B-v1"
 
     @pytest.mark.skip_less_device(2)
+    @pytest.mark.skip_less_device_memory(80000)
     def test_auto_dtype_tp2(self):
         with LLM(self.MODEL_PATH, tensor_parallel_size=2) as llm:
             task = MMLU(self.MODEL_NAME)
diff --git a/tests/integration/defs/examples/test_eagle.py b/tests/integration/defs/examples/test_eagle.py
index a83be7556ae..985de7dc095 100644
--- a/tests/integration/defs/examples/test_eagle.py
+++ b/tests/integration/defs/examples/test_eagle.py
@@ -304,6 +304,7 @@ def test_mistral_eagle_1gpu(llm_mistral_model_root,
 
 
 @skip_pre_ada
+@pytest.mark.skip_less_device_memory(80000)
 @pytest.mark.parametrize("use_dynamic_tree", [False, True],
                          ids=['eagle1', 'eagle2'])
 @pytest.mark.parametrize("mistral_nemo_model_root", ['Mistral-Nemo-12b-Base'],
diff --git a/tests/integration/defs/examples/test_multimodal.py b/tests/integration/defs/examples/test_multimodal.py
index 7e8628340bd..eb88267780b 100644
--- a/tests/integration/defs/examples/test_multimodal.py
+++ b/tests/integration/defs/examples/test_multimodal.py
@@ -81,6 +81,8 @@ def _test_llm_multimodal_general(llm_venv,
 
     if "neva-22b" in tllm_model_name and get_device_memory() < 80000:
         pytest.skip("GPU memory is insufficient.")
+    if "Mistral-Small" in tllm_model_name and get_device_memory() < 80000:
+        pytest.skip("GPU memory is insufficient.")
 
     print("Converting huggingface model into binary format...")
     # ckpt from llm_models/<model_name> --> cmodels/<model_name>/<dtype>
diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index 17de97de744..59b64ad2db4 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -1318,7 +1318,6 @@ def test_ptp_quickstart(llm_root, llm_venv):
     ("Llama3.2-11B-BF16", "llama-3.2-models/Llama-3.2-11B-Vision"),
     ("Nemotron4_4B-BF16", "nemotron/Minitron-4B-Base"),
     ("Nemotron-H-8B", "Nemotron-H-8B-Base-8K"),
-    ("Qwen3-30B-A3B", "Qwen3/Qwen3-30B-A3B"),
     pytest.param('Llama3.1-8B-NVFP4',
                  'nvfp4-quantized/Meta-Llama-3.1-8B',
                  marks=skip_pre_blackwell),
@@ -1343,6 +1342,9 @@ def test_ptp_quickstart(llm_root, llm_venv):
     pytest.param('Mixtral-8x7B-FP8',
                  'Mixtral-8x7B-Instruct-v0.1-fp8',
                  marks=skip_pre_blackwell),
+    pytest.param('Qwen3-30B-A3B',
+                 'Qwen3/Qwen3-30B-A3B',
+                 marks=pytest.mark.skip_less_device_memory(80000)),
 ])
 def test_ptp_quickstart_advanced(llm_root, llm_venv, model_name, model_path):
     print(f"Testing {model_name}.")
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index df349636472..d4583e06469 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -420,7 +420,6 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mt
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_fp8_block_scales_4gpus[tp4-mtp_nextn=0-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5294983)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_fp8_block_scales_4gpus[tp4-mtp_nextn=2-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5239087)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_fp8_block_scales_4gpus[ep4-mtp_nextn=2-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5239087)
-accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5234002)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[-] SKIP (https://nvbugs/5234002)
 examples/test_gemma.py::test_llm_hf_gemma_quantization_1gpu[gemma-2-27b-it-fp8-bfloat16-8] SKIP (https://nvbugs/5234164)
 full::GH200/examples/test_commandr.py::test_llm_commandr_v01_single_gpu_summary[disable_weight_only] SKIP (https://nvbugs/5250460)