diff --git a/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_image_view.py b/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_image_view.py
index fa972f3..710b50a 100644
--- a/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_image_view.py
+++ b/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_image_view.py
@@ -62,8 +62,7 @@ def _from_bridge_msg(self):
 
     def _from_raw_msg(self):
         image_size = len(self.raw_msg.data)
-        err, device_ptr = runtime.cudaMalloc(image_size)
-        self.ASSERT_CUDA_SUCCESS(err)
+        device_ptr = self._acquire_raw_cuda_buffer(image_size)
         err, = runtime.cudaMemcpy(device_ptr, self.raw_msg.data, image_size,
                                   runtime.cudaMemcpyKind.cudaMemcpyHostToDevice)
         self.ASSERT_CUDA_SUCCESS(err)
diff --git a/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_type_view_base.py b/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_type_view_base.py
index 0f8bc93..84d0592 100644
--- a/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_type_view_base.py
+++ b/isaac_ros_pynitros/isaac_ros_pynitros/pynitros_type_views/pynitros_type_view_base.py
@@ -19,6 +19,9 @@
 from ctypes import c_long
 import math
 import os
+import atexit
+import threading
+import sys
 
 import cuda.bindings.driver as driver
 import cuda.bindings.runtime as runtime
@@ -34,6 +37,75 @@
 from sensor_msgs.msg import PointCloud2
 
 
+_REUSE_RAW_CUDA_BUFFER = os.environ.get("PYNITROS_REUSE_RAW_CUDA_BUFFER", "0").strip().lower() in (
+    "1", "true", "yes", "on"
+)
+_RAW_CUDA_BUFFER_RECEIPTS = os.environ.get("PYNITROS_RAW_CUDA_BUFFER_RECEIPTS", "0").strip().lower() in (
+    "1", "true", "yes", "on"
+)
+
+_raw_pool_lock = threading.Lock()
+_raw_pool: list[tuple[int, int]] = []  # (device_ptr, capacity_bytes)
+_raw_pool_in_use: set[int] = set()
+_raw_pool_alloc_calls = 0
+_raw_pool_reuse_calls = 0
+
+
+def _raw_pool_acquire(min_bytes: int) -> int:
+    global _raw_pool_alloc_calls, _raw_pool_reuse_calls
+    with _raw_pool_lock:
+        # Prefer a free buffer with enough capacity.
+        for i, (ptr, cap) in enumerate(_raw_pool):
+            if ptr in _raw_pool_in_use:
+                continue
+            if cap >= min_bytes:
+                _raw_pool_in_use.add(ptr)
+                _raw_pool_reuse_calls += 1
+                return ptr
+
+        # Allocate a new buffer.
+        err, device_ptr = runtime.cudaMalloc(min_bytes)
+        if err != 0:
+            raise RuntimeError(f"cudaMalloc failed: {err}")
+        ptr_int = int(device_ptr)
+        _raw_pool.append((ptr_int, int(min_bytes)))
+        _raw_pool_in_use.add(ptr_int)
+        _raw_pool_alloc_calls += 1
+        return ptr_int
+
+
+def _raw_pool_release(ptr: int) -> None:
+    with _raw_pool_lock:
+        _raw_pool_in_use.discard(int(ptr))
+
+
+def _raw_pool_shutdown() -> None:
+    # Best-effort: free any pooled buffers at process exit.
+    # If CUDA is not initialized / already torn down, ignore errors.
+    with _raw_pool_lock:
+        ptrs = [ptr for (ptr, _cap) in _raw_pool]
+        _raw_pool.clear()
+        _raw_pool_in_use.clear()
+    for ptr in ptrs:
+        try:
+            runtime.cudaFree(ptr)
+        except Exception:
+            pass
+    if _RAW_CUDA_BUFFER_RECEIPTS:
+        try:
+            print(
+                "pynitros raw cuda buffer receipts: "
+                f"alloc_calls={_raw_pool_alloc_calls} reuse_calls={_raw_pool_reuse_calls}",
+                file=sys.stderr,
+            )
+        except Exception:
+            pass
+
+
+if _REUSE_RAW_CUDA_BUFFER or _RAW_CUDA_BUFFER_RECEIPTS:
+    atexit.register(_raw_pool_shutdown)
+
+
 class PyNitrosTypeViewBase():
     """
     Base class of PyNITROS message view.
@@ -189,8 +261,22 @@ def postprocess(self):
                 self._cpu_shared_mem.cpu_shared_mem_obj.close()
                 self._cpu_shared_mem.cpu_shared_mem.close_fd()
         else:
-            # Free the memory
-            runtime.cudaFree(self.gpu_ptr)
+            # Free (or recycle) the memory for raw ROS messages.
+            if _REUSE_RAW_CUDA_BUFFER and getattr(self, "_pynitros_raw_cuda_pool", False):
+                _raw_pool_release(int(self.gpu_ptr))
+            else:
+                runtime.cudaFree(self.gpu_ptr)
+
+    def _acquire_raw_cuda_buffer(self, size_bytes: int) -> int:
+        """Acquire a reusable raw CUDA buffer (H2D staging)."""
+        if not _REUSE_RAW_CUDA_BUFFER:
+            err, device_ptr = runtime.cudaMalloc(size_bytes)
+            self.ASSERT_CUDA_SUCCESS(err)
+            return int(device_ptr)
+        ptr = _raw_pool_acquire(int(size_bytes))
+        # Mark so postprocess() can recycle it instead of freeing.
+        self._pynitros_raw_cuda_pool = True
+        return int(ptr)
 
     def get_handle(self):
         return self.handle