diff --git a/lmcache/v1/multiprocess/transfer_context/shm.py b/lmcache/v1/multiprocess/transfer_context/shm.py
index 0178d27faf..7f833ba656 100644
--- a/lmcache/v1/multiprocess/transfer_context/shm.py
+++ b/lmcache/v1/multiprocess/transfer_context/shm.py
@@ -2,6 +2,7 @@
 """Shared-memory NonGpuContext implementation for multiprocess mode."""
 
 # Standard
+import ctypes
 from dataclasses import dataclass
 from multiprocessing import shared_memory
 from multiprocessing.resource_tracker import unregister
@@ -11,6 +12,8 @@
 import torch
 
 # First Party
+from lmcache import torch_dev
+from lmcache.logging import init_logger
 from lmcache.v1.multiprocess.custom_types import IPCCacheEngineKey
 from lmcache.v1.multiprocess.mq import MessageQueueClient
 from lmcache.v1.multiprocess.protocol import RequestType, get_response_class
@@ -19,6 +22,8 @@
     NonGpuContextMetadata,
 )
 
+logger = init_logger(__name__)
+
 
 @dataclass(frozen=True)
 class ShmSlotDescriptor:
@@ -92,6 +97,9 @@ def __init__(
         self._pool_size = pool_size
         self._shm: shared_memory.SharedMemory | None = None
         self._shm_buffer: memoryview | None = None
+        self._pinned = False
+        self._pinned_ptr = 0
+        self._pinned_size = 0
         try:
             self._shm = shared_memory.SharedMemory(
                 name=shm_name.lstrip("/"), create=False
@@ -101,6 +109,7 @@ def __init__(
             # unlink the segment when this worker exits.
             unregister(f"/{self._shm.name}", "shared_memory")
             self._shm_buffer = self._shm.buf
+            self._register_shm_buffer()
         except Exception:
             self._shm = None
             self._shm_buffer = None
@@ -212,7 +221,70 @@ def close(self) -> None:
         if self._shm is None:
             return
         try:
-            self._shm.close()
+            self._unregister_shm_buffer()
         finally:
-            self._shm = None
-            self._shm_buffer = None
+            try:
+                self._shm.close()
+            finally:
+                self._shm = None
+                self._shm_buffer = None
+
+    def _register_shm_buffer(self) -> None:
+        if self._shm_buffer is None or not torch_dev.is_available():
+            return
+        if not hasattr(torch_dev, "cudart"):
+            logger.warning(
+                "Skipping SHM host registration for shm_name=%s: "
+                "backend does not support cudart(); D2H copies will be synchronous",
+                self._shm_name,
+            )
+            return
+        try:
+            ptr = ctypes.addressof(ctypes.c_char.from_buffer(self._shm_buffer))
+            err = torch_dev.cudart().cudaHostRegister(ptr, self._pool_size, 0)
+        except Exception as exc:
+            logger.warning(
+                "Failed to register SHM buffer for shm_name=%s: %r; "
+                "D2H copies will be synchronous",
+                self._shm_name,
+                exc,
+            )
+            return
+        if err != 0:
+            logger.warning(
+                "cudaHostRegister failed for shm_name=%s (ptr=%d, size=%d, err=%s); "
+                "D2H copies will be synchronous",
+                self._shm_name,
+                ptr,
+                self._pool_size,
+                err,
+            )
+            return
+        self._pinned = True
+        self._pinned_ptr = ptr
+        self._pinned_size = self._pool_size
+
+    def _unregister_shm_buffer(self) -> None:
+        if not self._pinned or self._pinned_ptr == 0:
+            return
+        try:
+            err = torch_dev.cudart().cudaHostUnregister(self._pinned_ptr)
+            if err != 0:
+                logger.warning(
+                    "cudaHostUnregister failed for shm_name=%s (ptr=%d, size=%d, "
+                    "err=%s)",
+                    self._shm_name,
+                    self._pinned_ptr,
+                    self._pinned_size,
+                    err,
+                )
+        except Exception as exc:
+            logger.warning(
+                "Failed to unregister SHM buffer for shm_name=%s: %r",
+                self._shm_name,
+                exc,
+            )
+        finally:
+            self._pinned = False
+            self._pinned_ptr = 0
+            self._pinned_size = 0
diff --git a/tests/v1/multiprocess/test_non_cuda_data_transfer.py b/tests/v1/multiprocess/test_non_cuda_data_transfer.py
index c60290b917..1aaa38b6f7 100644
--- a/tests/v1/multiprocess/test_non_cuda_data_transfer.py
+++ b/tests/v1/multiprocess/test_non_cuda_data_transfer.py
@@ -1162,3 +1162,134 @@ def test_non_gpu_context_shm_close_is_idempotent() -> None:
     finally:
         if os.path.exists(shm_path):
             os.unlink(shm_path)
+
+
+def test_non_gpu_context_shm_registers_and_unregisters_host_memory(
+    monkeypatch: Any,
+) -> None:
+    shm_name = f"lmcache_test_pin_{os.getpid()}"
+    shm_path = _create_shm_file(shm_name, 4096)
+
+    class FakeCudaRt:
+        def __init__(self) -> None:
+            self.register_calls: list[tuple[int, int, int]] = []
+            self.unregister_calls: list[int] = []
+
+        def cudaHostRegister(self, ptr: int, size: int, flags: int) -> int:
+            self.register_calls.append((ptr, size, flags))
+            return 0
+
+        def cudaHostUnregister(self, ptr: int) -> int:
+            self.unregister_calls.append(ptr)
+            return 0
+
+    class FakeTorchDev:
+        def __init__(self, cudart: FakeCudaRt) -> None:
+            self._cudart = cudart
+
+        def is_available(self) -> bool:
+            return True
+
+        def cudart(self) -> FakeCudaRt:
+            return self._cudart
+
+    # First Party
+    import lmcache.v1.multiprocess.transfer_context.shm as shm_module
+
+    fake_cudart = FakeCudaRt()
+    monkeypatch.setattr(shm_module, "torch_dev", FakeTorchDev(fake_cudart))
+
+    context = NonGpuContextShm(
+        metadata=NonGpuContextMetadata(
+            layout_desc=MemoryLayoutDesc(
+                shapes=[torch.Size([2, 2])],
+                dtypes=[torch.float32],
+            ),
+            block_size=1,
+            use_mla=False,
+        ),
+        mq_client=MagicMock(),
+        mq_timeout=1.0,
+        shm_name=shm_name,
+        pool_size=4096,
+    )
+    try:
+        assert len(fake_cudart.register_calls) == 1
+        ptr, size, flags = fake_cudart.register_calls[0]
+        assert ptr > 0
+        assert size == 4096
+        assert flags == 0
+    finally:
+        context.close()
+        if os.path.exists(shm_path):
+            os.unlink(shm_path)
+
+    assert fake_cudart.unregister_calls == [ptr]
+
+
+def test_non_gpu_context_shm_register_failure_warns_and_skips_unregister(
+    monkeypatch: Any,
+) -> None:
+    shm_name = f"lmcache_test_pin_fail_{os.getpid()}"
+    shm_path = _create_shm_file(shm_name, 4096)
+
+    class FakeCudaRt:
+        def __init__(self) -> None:
+            self.register_calls: list[tuple[int, int, int]] = []
+            self.unregister_calls: list[int] = []
+
+        def cudaHostRegister(self, ptr: int, size: int, flags: int) -> int:
+            self.register_calls.append((ptr, size, flags))
+            return 1
+
+        def cudaHostUnregister(self, ptr: int) -> int:
+            self.unregister_calls.append(ptr)
+            return 0
+
+    class FakeTorchDev:
+        def __init__(self, cudart: FakeCudaRt) -> None:
+            self._cudart = cudart
+
+        def is_available(self) -> bool:
+            return True
+
+        def cudart(self) -> FakeCudaRt:
+            return self._cudart
+
+    # First Party
+    import lmcache.v1.multiprocess.transfer_context.shm as shm_module
+
+    fake_cudart = FakeCudaRt()
+    monkeypatch.setattr(shm_module, "torch_dev", FakeTorchDev(fake_cudart))
+
+    with patch.object(shm_module.logger, "warning") as warning_mock:
+        context = NonGpuContextShm(
+            metadata=NonGpuContextMetadata(
+                layout_desc=MemoryLayoutDesc(
+                    shapes=[torch.Size([2, 2])],
+                    dtypes=[torch.float32],
+                ),
+                block_size=1,
+                use_mla=False,
+            ),
+            mq_client=MagicMock(),
+            mq_timeout=1.0,
+            shm_name=shm_name,
+            pool_size=4096,
+        )
+        try:
+            assert len(fake_cudart.register_calls) == 1
+        finally:
+            context.close()
+            if os.path.exists(shm_path):
+                os.unlink(shm_path)
+
+    assert fake_cudart.unregister_calls == []
+    warning_mock.assert_called_once()
+    message, logged_shm_name, _logged_ptr, logged_size, logged_err = (
+        warning_mock.call_args[0]
+    )
+    assert "cudaHostRegister failed" in message
+    assert logged_shm_name == shm_name
+    assert logged_size == 4096
+    assert logged_err == 1