diff --git a/.jenkins/get_files_to_run.py b/.jenkins/get_files_to_run.py
index bdf4562a82..e928228a5e 100644
--- a/.jenkins/get_files_to_run.py
+++ b/.jenkins/get_files_to_run.py
@@ -41,7 +41,7 @@ def add_to_shard(i, filename):
 
     all_other_files = all_files.copy()
     needs_multigpu = list(
-        filter(lambda x: get_needs_machine(x) == "linux.16xlarge.nvidia.gpu", all_files,)
+        filter(lambda x: get_needs_machine(x) == "4-gpu", all_files,)
     )
     needs_a10g = list(
         filter(lambda x: get_needs_machine(x) == "linux.g5.4xlarge.nvidia.gpu", all_files,)
diff --git a/.jenkins/metadata.json b/.jenkins/metadata.json
index 44c16ccedb..7e886d6346 100644
--- a/.jenkins/metadata.json
+++ b/.jenkins/metadata.json
@@ -21,13 +21,13 @@
   },
   "intermediate_source/pipeline_tutorial.py": {
     "duration": 320,
-    "needs": "linux.16xlarge.nvidia.gpu"
+    "needs": "4-gpu"
   },
   "beginner_source/blitz/data_parallel_tutorial.py": {
-    "needs": "linux.16xlarge.nvidia.gpu"
+    "needs": "4-gpu"
   },
   "intermediate_source/model_parallel_tutorial.py": {
-    "needs": "linux.16xlarge.nvidia.gpu"
+    "needs": "4-gpu"
   },
   "intermediate_source/torchrec_intro_tutorial.py": {
     "needs": "linux.g5.4xlarge.nvidia.gpu"
@@ -75,6 +75,6 @@
     "needs": "linux.g5.4xlarge.nvidia.gpu"
   },
   "beginner_source/distributed_training_with_ray_tutorial.py": {
-    "needs": "linux.16xlarge.nvidia.gpu"
+    "needs": "4-gpu"
   }
 }