Add b300 tests

Signed-off-by: Yiqing Yan <[email protected]>

Author: yiqingy0

jenkins/L0_Test.groovy

@@ -656,6 +656,9 @@ def createKubernetesPodConfig(image, type, arch = "amd64", gpuCount = 1, perfMod
         }
 
         def gpuType = KubernetesManager.selectGPU(type)
+        if (type.contains("b300")) {
+            gpuType = "NVIDIA_HGX_B300"
+        }
         nodeLabelPrefix = type
 
         targetCould = "kubernetes"
@@ -1843,6 +1846,7 @@ def launchTestJobs(pipeline, testFilter, dockerNode=null)
         "DGX_H200-4_GPUs-TensorRT-Post-Merge-1": ["dgx-h200-x4", "l0_dgx_h200", 1, 3, 4],
         "DGX_H200-4_GPUs-TensorRT-Post-Merge-2": ["dgx-h200-x4", "l0_dgx_h200", 2, 3, 4],
         "DGX_H200-4_GPUs-TensorRT-Post-Merge-3": ["dgx-h200-x4", "l0_dgx_h200", 3, 3, 4],
+        "B300_PCIe-PyTorch-1": ["b300", "l0_b300", 1, 1],
     ]
 
     parallelJobs = x86TestConfigs.collectEntries{key, values -> [key, [createKubernetesPodConfig(LLM_DOCKER_IMAGE, values[0], "amd64", values[4] ?: 1, key.contains("Perf")), {

tests/integration/test_lists/test-db/l0_b300.yml

@@ -0,0 +1,17 @@
+version: 0.0.1
+l0_b200:
+- condition:
+    ranges:
+      system_gpu_count:
+        gte: 1
+        lte: 1
+    wildcards:
+      gpu:
+      - '*b300*'
+      linux_distribution_name: ubuntu*
+    terms:
+      stage: pre_merge
+      backend: pytorch
+  tests:
+  # ------------- PyTorch tests ---------------
+  - unittest/_torch/multi_gpu_modeling -k "deepseek"