diff --git a/python/sglang/srt/managers/schedule_batch.py b/python/sglang/srt/managers/schedule_batch.py
index 22b8e1dde..3efe53555 100755
--- a/python/sglang/srt/managers/schedule_batch.py
+++ b/python/sglang/srt/managers/schedule_batch.py
@@ -1733,6 +1733,13 @@ class Req(ReqDllmMixin):
             return None
         return req_to_token_pool.mamba_pool
 
+    def _mamba_pool_needing_backup(self, req_to_token_pool, allocator):
+        if allocator.get_kvcache().cpu_copy_carries_mamba:
+            return None
+        if not isinstance(req_to_token_pool, HybridReqToTokenPool):
+            return None
+        return req_to_token_pool.mamba_pool
+
     def offload_kv_cache(self, req_to_token_pool, token_to_kv_pool_allocator):
         token_indices = req_to_token_pool.req_to_token[
             self.req_pool_idx, : self.seqlen - 1
diff --git a/test/registered/disaggregation/test_disaggregation_inkling_mxfp8.py b/test/registered/disaggregation/test_disaggregation_inkling_mxfp8.py
new file mode 100644
index 000000000..354a7ebdb
--- /dev/null
+++ b/test/registered/disaggregation/test_disaggregation_inkling_mxfp8.py
@@ -0,0 +1,132 @@
+"""PD disaggregation for Inkling with MXFP8 KV and a hierarchical prefill cache.
+
+Inkling ships three heterogeneous state components -- full-attention KV,
+sliding-window KV and ShortConv state -- and MXFP8 adds a block-scale component
+per KV sub-pool, each addressed like the KV it describes. A transfer that drops
+or misaligns any of them collapses generation rather than shaving accuracy.
+
+MXFP8 KV needs SM100+, so this is Blackwell-only.
+"""
+
+import os
+import unittest
+
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.kits.eval_accuracy_kit import GSM8KMixin
+from sglang.test.server_fixtures.disaggregation_fixture import (
+    PDDisaggregationServerBase,
+)
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    popen_launch_pd_server,
+    try_cached_model,
+)
+
+register_cuda_ci(est_time=800, stage="extra-b", runner_config="4-gpu-b200")
+
+MODEL = os.environ.get(
+    "INKLING_SMALL_TEST_MODEL_PATH", "thinkingmachines/Inkling-Small-NVFP4"
+)
+
+# The unified radix tree is what merges the three components into one tree, so
+# it is a precondition rather than a tuning knob here.
+ENV = {"SGLANG_ENABLE_UNIFIED_RADIX_TREE": "1"}
+
+# Shared with the single-server Inkling recipe; TP is per role.
+COMMON_ARGS = [
+    "--tp",
+    "2",
+    "--quantization",
+    "modelopt_fp4",
+    "--attention-backend",
+    "fa4",
+    "--page-size",
+    "128",
+    "--fp4-gemm-backend",
+    "flashinfer_trtllm",
+    "--moe-runner-backend",
+    "flashinfer_trtllm_routed",
+    "--mamba-radix-cache-strategy",
+    "extra_buffer",
+    "--mem-fraction-static",
+    "0.8",
+    # Write-through needs the host pool above the device pool and the default ratio
+    # puts it at 2x, so a bounded device pool is what keeps host memory in range for
+    # two roles on one node -- and it keeps the host tier actually exercised rather
+    # than everything staying resident on device.
+    "--max-total-tokens",
+    "65536",
+    "--swa-full-tokens-ratio",
+    "0.1",
+    "--mamba-full-memory-ratio",
+    "0.1",
+    "--kv-cache-dtype",
+    "mxfp8",
+]
+
+
+class TestDisaggregationInklingMXFP8(PDDisaggregationServerBase, GSM8KMixin):
+    # Shot count, TP and floor match the single-server Inkling case, so its 0.900
+    # is a peer number rather than a rough reference. A dropped or misaligned state
+    # component collapses generation to near zero, which is what the floor catches.
+    gsm8k_num_shots = 10
+    gsm8k_score_threshold = 0.80
+
+    @classmethod
+    def setUpClass(cls):
+        super().setUpClass()
+        cls.model = try_cached_model(MODEL)
+        # Serialized rather than launch_all(): both roles load the same checkpoint,
+        # and doing it at once put the pair over the host memory a runner has.
+        cls.start_prefill()
+        cls.wait_server_ready(cls.prefill_url + "/health", process=cls.process_prefill)
+        cls.start_decode()
+        cls.wait_server_ready(cls.decode_url + "/health", process=cls.process_decode)
+        cls.launch_lb()
+
+    @classmethod
+    def start_prefill(cls):
+        # HiCache rides the prefill role only: the decode role forces chunk cache,
+        # and its radix opt-in is refused for sliding-window models.
+        prefill_args = [
+            "--trust-remote-code",
+            "--disaggregation-mode",
+            "prefill",
+            "--disaggregation-bootstrap-port",
+            cls.bootstrap_port,
+            *COMMON_ARGS,
+            "--enable-hierarchical-cache",
+        ]
+        prefill_args += cls.transfer_backend + cls.rdma_devices
+        cls.process_prefill = popen_launch_pd_server(
+            cls.model,
+            cls.prefill_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=prefill_args,
+            env={**os.environ, **ENV},
+        )
+
+    @classmethod
+    def start_decode(cls):
+        decode_args = [
+            "--trust-remote-code",
+            "--disaggregation-mode",
+            "decode",
+            "--disaggregation-bootstrap-port",
+            cls.bootstrap_port,
+            *COMMON_ARGS,
+            "--base-gpu-id",
+            "2",
+        ]
+        decode_args += cls.transfer_backend + cls.rdma_devices
+        cls.process_decode = popen_launch_pd_server(
+            cls.model,
+            cls.decode_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=decode_args,
+            env={**os.environ, **ENV},
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()