Move some of the tests from b200 to gb200 to avoid load model issue

Signed-off-by: Yi Zhang <187001205+yizhang-nv@users.noreply.github.com>

Author: yizhang-nv

jenkins/L0_Test.groovy

@@ -2783,7 +2783,8 @@ def launchTestJobs(pipeline, testFilter)
         "DGX_B200-4_GPUs-PyTorch-1": ["b200-x4", "l0_dgx_b200", 1, 2, 4],
         "DGX_B200-4_GPUs-PyTorch-2": ["b200-x4", "l0_dgx_b200", 2, 2, 4],
         "DGX_B200-4_GPUs-PyTorch-Ray-1": ["b200-x4", "l0_dgx_b200", 1, 1, 4],
-        "DGX_B200-8_GPUs-PyTorch-1": ["b200-x8", "l0_dgx_b200", 1, 1, 8],
+        // Move DGX_B200-8_GPUs-PyTorch-1 due to nodes load model issue.
+        // "DGX_B200-8_GPUs-PyTorch-1": ["b200-x8", "l0_dgx_b200", 1, 1, 8],
         "DGX_B200-4_GPUs-PyTorch-Post-Merge-1": ["b200-trtllm", "l0_dgx_b200", 1, 1, 4, 1, true],
         "DGX_B300-4_GPUs-PyTorch-Post-Merge-1": ["b300-x4", "l0_dgx_b300", 1, 1, 4],
         // Perf sanity post merge test
@@ -2825,8 +2826,10 @@ def launchTestJobs(pipeline, testFilter)
     multiNodesSBSAConfigs = [
         // Each testcase uses 8 GPUs and 2 nodes.
         // https://nvbugs/5598863 (uncorrectable NVLink error detected during the execution) may not exist in OCI machines.
-        "GB200-8_GPUs-2_Nodes-PyTorch-1": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 1, 2, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-2": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 2, 2, 8, 2],
+        "GB200-8_GPUs-2_Nodes-PyTorch-1": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 1, 3, 8, 2],
+        "GB200-8_GPUs-2_Nodes-PyTorch-2": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 2, 3, 8, 2],
+        // Request 1 more node for tests that moved from B200 to GB200
+        "GB200-8_GPUs-2_Nodes-PyTorch-3": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 3, 3, 8, 2],
         "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-1": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 1, 3, 8, 2],
         "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-2": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 2, 3, 8, 2],
         "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-3": ["gb200-oci-trtllm", "l0_gb200_multi_nodes", 3, 3, 8, 2],

tests/integration/defs/accuracy/test_llm_api_pytorch.py

@@ -2426,7 +2426,7 @@ def test_nvfp4_multi_gpus_chunked_prefill(self, tp_size, pp_size, ep_size,
             task.evaluate(llm)
 
     @skip_pre_blackwell
-    @pytest.mark.skip_less_device(8)
+    @pytest.mark.skip_less_mpi_world_size(8)
     def test_nvfp4_multi_gpus_corner_case(self):
         """
         This test is used to test the corner case of the NVFP4 model.
@@ -2575,7 +2575,6 @@ class TestDeepSeekV32(LlmapiAccuracyTestHarness):
     MODEL_PATH = f"{llm_models_root()}/DeepSeek-V3.2-Exp-hf"
 
     @pytest.mark.skip_less_mpi_world_size(8)
-    @pytest.mark.skip_less_device(8)
     @skip_pre_hopper
     @pytest.mark.skip_less_device_memory(140000)
     @pytest.mark.parametrize(
@@ -2650,7 +2649,6 @@ def test_fp8_blockscale(self, tp_size, pp_size, ep_size, mtp_nextn, fp8kv,
                 task.evaluate(llm)
 
     @pytest.mark.skip_less_mpi_world_size(8)
-    @pytest.mark.skip_less_device(8)
     @skip_pre_blackwell
     @pytest.mark.parametrize(
         "tp_size,pp_size,ep_size,mtp_nextn,fp8kv,attention_dp,cuda_graph,overlap_scheduler,max_batch_size,moe_backend",

tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml

@@ -15,9 +15,15 @@ l0_gb200_multi_nodes:
   tests:
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_mtp] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_bs8_mtp] TIMEOUT (180) # Temporarily added to GB200 to avoid load model issue
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp_trtllm] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline] TIMEOUT (180) # Temporarily added to GB200 to avoid load model issue
+  - accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline_mtp1] TIMEOUT (180) # Temporarily added to GB200 to avoid load model issue
+  - accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_nvfp4_multi_gpus[baseline] TIMEOUT (180) # Temporarily added to GB200 to avoid load model issue
+  - accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_nvfp4_multi_gpus[baseline_mtp1] TIMEOUT (180) # Temporarily added to GB200 to avoid load model issue
+  - accuracy/test_disaggregated_serving.py::TestDeepSeekV32Exp::test_auto_dtype[False] TIMEOUT (360) # Temporarily added to GB200 to avoid load model issue
 - condition:
     ranges:
       # 2 nodes with each node has 4 GPUs