diff --git a/docs/release_notes/release_notes-0.16.0.rst b/docs/release_notes/release_notes-0.16.0.rst
index 1d1adaf0105..6ce3b491450 100644
--- a/docs/release_notes/release_notes-0.16.0.rst
+++ b/docs/release_notes/release_notes-0.16.0.rst
@@ -20,7 +20,7 @@ Key Features and Updates
 * XGBoost enhancements
   *
 * Developer API enhancements
-  *
+  * FEAT-#4574: Warn users when pre-initialized Ray cluster is not using all available memory (#4575)
 * Update testing suite
   * TEST-#4508: Reduce test_partition_api pytest threads to deflake it (#4551)
   * TEST-#4550: Use much less data in test_partition_api (#4554)
@@ -34,3 +34,4 @@ Contributors
 ------------
 @mvashishtha
 @prutskov
+@RehanSD
diff --git a/modin/core/execution/ray/common/utils.py b/modin/core/execution/ray/common/utils.py
index b08b30c7c9b..c93b86361a2 100644
--- a/modin/core/execution/ray/common/utils.py
+++ b/modin/core/execution/ray/common/utils.py
@@ -219,6 +219,24 @@ def initialize_ray(
             if not GPU_MANAGERS:
                 for i in range(GpuCount.get()):
                     GPU_MANAGERS.append(GPUManager.remote(i))
+    else:
+        ray_obj_store_mem = ray.available_resources()["object_store_memory"]
+        system_memory = psutil.virtual_memory().total
+        if sys.platform.startswith("linux"):
+            shm_fd = os.open("/dev/shm", os.O_RDONLY)
+            try:
+                shm_stats = os.fstatvfs(shm_fd)
+                system_memory = shm_stats.f_bsize * shm_stats.f_bavail
+            finally:
+                os.close(shm_fd)
+        if (ray_obj_store_mem // 1e9) < (0.6 * system_memory) // 1e9:
+            warnings.warn(
+                "Modin has detected that it is running on a pre-initialized Ray cluster. "
+                + f"This cluster has currently allocated {ray_obj_store_mem // 1e9} GB for its "
+                + f"object store, but the device has {system_memory // 1e9} GB of RAM available. "
+                + "Modin recommends initializing Ray with at least 60% of available RAM to prevent "
+                + "Out Of Memory errors."
+            )
     _move_stdlib_ahead_of_site_packages()
     ray.worker.global_worker.run_function_on_all_workers(
         _move_stdlib_ahead_of_site_packages