diff --git a/vllm/model_executor/layers/fused_moe/fused_moe.py b/vllm/model_executor/layers/fused_moe/fused_moe.py
index 0b83a3f5c4803..b286c3bc6fc07 100644
--- a/vllm/model_executor/layers/fused_moe/fused_moe.py
+++ b/vllm/model_executor/layers/fused_moe/fused_moe.py
@@ -885,12 +885,11 @@ def get_moe_configs(
 
     # If no optimized configuration is available, we will use the default
     # configuration
-    logger.warning(
-        (
-            "Using default MoE config. Performance might be sub-optimal! "
-            "Config file not found at %s"
-        ),
-        config_file_paths,
+    logger.warning_once(
+        "Using default MoE config. Performance might be sub-optimal! "
+        "Config file not found at %s",
+        ", ".join(config_file_paths),
+        scope="local",
     )
     return None
 
diff --git a/vllm/model_executor/layers/fused_moe/layer.py b/vllm/model_executor/layers/fused_moe/layer.py
index eba6ab4cc35f7..cc3afade709d9 100644
--- a/vllm/model_executor/layers/fused_moe/layer.py
+++ b/vllm/model_executor/layers/fused_moe/layer.py
@@ -369,7 +369,9 @@ class FusedMoE(CustomOp):
             # aux_stream() returns None on non-cuda-alike platforms.
             self.shared_experts_stream = aux_stream()
             if self.shared_experts_stream is not None:
-                logger.info_once("Enabled separate cuda stream for MoE shared_experts")
+                logger.info_once(
+                    "Enabled separate cuda stream for MoE shared_experts", scope="local"
+                )
 
         if params_dtype is None:
             params_dtype = torch.get_default_dtype()
diff --git a/vllm/platforms/cuda.py b/vllm/platforms/cuda.py
index ef33e64bbfdf4..38adf5dda07fe 100644
--- a/vllm/platforms/cuda.py
+++ b/vllm/platforms/cuda.py
@@ -409,10 +409,11 @@ class CudaPlatformBase(Platform):
         )
         selected_index = sorted_indices[0]
         selected_backend = valid_backends_priorities[selected_index][0]
-        logger.info(
+        logger.info_once(
             "Using %s attention backend out of potential backends: %s",
             selected_backend.name,
-            [b[0].name for b in valid_backends_priorities],
+            tuple(b[0].name for b in valid_backends_priorities),
+            scope="local",
         )
 
         return selected_backend.get_path()
diff --git a/vllm/profiler/wrapper.py b/vllm/profiler/wrapper.py
index a44a6a5eea0dd..f891a88f90394 100644
--- a/vllm/profiler/wrapper.py
+++ b/vllm/profiler/wrapper.py
@@ -61,7 +61,7 @@ class WorkerProfiler(ABC):
         """Call _stop with error handling but no safeguards."""
         try:
             self._stop()
-            logger.info("Profiler stopped successfully.")
+            logger.info_once("Profiler stopped successfully.", scope="local")
         except Exception as e:
             logger.warning("Failed to stop profiler: %s", e)
         self._running = False  # Always mark as not running, assume stop worked
@@ -91,7 +91,7 @@ class WorkerProfiler(ABC):
             and self._delay_iters > 0
             and self._active_iteration_count == self._delay_iters
         ):
-            logger.info("Starting profiler after delay...")
+            logger.info_once("Starting profiler after delay...", scope="local")
             self._call_start()
 
         if self._running:
@@ -105,7 +105,9 @@ class WorkerProfiler(ABC):
             # Automatically stop the profiler after max iters
             # will be marked as not running, but leave as active so that stop
             # can clean up properly
-            logger.info("Max profiling iterations reached. Stopping profiler...")
+            logger.info_once(
+                "Max profiling iterations reached. Stopping profiler...", scope="local"
+            )
             self._call_stop()
             return
 
@@ -125,7 +127,7 @@ class WorkerProfiler(ABC):
 
     def shutdown(self) -> None:
         """Ensure profiler is stopped when shutting down."""
-        logger.info_once("Shutting down profiler")
+        logger.info_once("Shutting down profiler", scope="local")
         if self._running:
             self.stop()
 
@@ -156,9 +158,10 @@ class TorchProfilerWrapper(WorkerProfiler):
         self.profiler_config = profiler_config
         torch_profiler_trace_dir = profiler_config.torch_profiler_dir
         if local_rank in (None, 0):
-            logger.info(
+            logger.info_once(
                 "Torch profiling enabled. Traces will be saved to: %s",
                 torch_profiler_trace_dir,
+                scope="local",
             )
             logger.debug(
                 "Profiler config: record_shapes=%s,"
diff --git a/vllm/v1/executor/multiproc_executor.py b/vllm/v1/executor/multiproc_executor.py
index f81b5df96d4b6..649875fe8b7c1 100644
--- a/vllm/v1/executor/multiproc_executor.py
+++ b/vllm/v1/executor/multiproc_executor.py
@@ -706,7 +706,7 @@ class WorkerProc:
                     death_pipe.recv()
                 except EOFError:
                     # Parent process has exited, terminate this worker
-                    logger.info("Parent process exited, terminating worker")
+                    logger.info_once("Parent process exited, terminating worker")
                     # Send signal to self to trigger clean shutdown
                     shutdown_event.set()
                 except Exception as e: