diff --git a/python-package/xgboost/testing/updater.py b/python-package/xgboost/testing/updater.py
index cf46bd43f550..0db91491ee27 100644
--- a/python-package/xgboost/testing/updater.py
+++ b/python-package/xgboost/testing/updater.py
@@ -218,8 +218,13 @@ def check_extmem_qdm(
         )
 
     booster_it = xgb.train({"device": device}, Xy_it, num_boost_round=8)
-    X, y, w = it.as_arrays()
-    Xy = xgb.QuantileDMatrix(X, y, weight=w)
+    it = tm.IteratorForTest(
+        *tm.make_batches(
+            n_samples_per_batch, n_features, n_batches, use_cupy=device != "cpu"
+        ),
+        cache=None,
+    )
+    Xy = xgb.QuantileDMatrix(it)
     booster = xgb.train({"device": device}, Xy, num_boost_round=8)
 
     if device == "cpu":
diff --git a/tests/python/test_tracker.py b/tests/python/test_tracker.py
index 95074553acd7..0fdf024c2b38 100644
--- a/tests/python/test_tracker.py
+++ b/tests/python/test_tracker.py
@@ -34,44 +34,48 @@ def test_socket_error():
         tracker.free()
 
 
-def run_rabit_ops(client, n_workers):
-    from xgboost.dask import CommunicatorContext, _get_dask_config, _get_rabit_args
-
-    workers = tm.get_client_workers(client)
-    rabit_args = client.sync(_get_rabit_args, len(workers), _get_dask_config(), client)
-    assert not collective.is_distributed()
-    n_workers_from_dask = len(workers)
-    assert n_workers == n_workers_from_dask
+def run_rabit_ops(pool, n_workers: int, address: str) -> None:
+    tracker = RabitTracker(host_ip=address, n_workers=n_workers)
+    tracker.start()
+    args = tracker.worker_args()
 
-    def local_test(worker_id):
-        with CommunicatorContext(**rabit_args):
+    def local_test(worker_id: int, rabit_args: dict) -> int:
+        with collective.CommunicatorContext(**rabit_args):
             a = 1
             assert collective.is_distributed()
-            a = np.array([a])
-            reduced = collective.allreduce(a, collective.Op.SUM)
+            arr = np.array([a])
+            reduced = collective.allreduce(arr, collective.Op.SUM)
             assert reduced[0] == n_workers
 
-            worker_id = np.array([worker_id])
-            reduced = collective.allreduce(worker_id, collective.Op.MAX)
+            arr = np.array([worker_id])
+            reduced = collective.allreduce(arr, collective.Op.MAX)
             assert reduced == n_workers - 1
 
             return 1
 
-    futures = client.map(local_test, range(len(workers)), workers=workers)
-    results = client.gather(futures)
+    fn = update_wrapper(partial(local_test, rabit_args=args), local_test)
+    results = pool.map(fn, range(n_workers))
     assert sum(results) == n_workers
 
 
-@pytest.mark.skipif(**tm.no_dask())
+@pytest.mark.skipif(**tm.no_loky())
 def test_rabit_ops():
-    from distributed import Client, LocalCluster
+    from loky import get_reusable_executor
 
-    n_workers = 3
-    with LocalCluster(n_workers=n_workers) as cluster:
-        with Client(cluster) as client:
-            run_rabit_ops(client, n_workers)
+    n_workers = 4
+    with get_reusable_executor(max_workers=n_workers) as pool:
+        run_rabit_ops(pool, n_workers, "127.0.0.1")
 
 
+@pytest.mark.skipif(**tm.no_ipv6())
+@pytest.mark.skipif(**tm.no_loky())
+def test_rabit_ops_ipv6():
+    from loky import get_reusable_executor
+
+    n_workers = 4
+    with get_reusable_executor(max_workers=n_workers) as pool:
+        run_rabit_ops(pool, n_workers, "::1")
+
 
 def run_allreduce(pool, n_workers: int) -> None:
     tracker = RabitTracker(host_ip="127.0.0.1", n_workers=n_workers)
@@ -133,19 +137,6 @@ def test_broadcast():
             run_broadcast(pool, n_workers)
 
 
-@pytest.mark.skipif(**tm.no_ipv6())
-@pytest.mark.skipif(**tm.no_dask())
-def test_rabit_ops_ipv6():
-    import dask
-    from distributed import Client, LocalCluster
-
-    n_workers = 3
-    with dask.config.set({"xgboost.scheduler_address": "[::1]"}):
-        with LocalCluster(n_workers=n_workers, host="[::1]") as cluster:
-            with Client(cluster) as client:
-                run_rabit_ops(client, n_workers)
-
-
 @pytest.mark.skipif(**tm.no_dask())
 def test_rank_assignment() -> None:
     from distributed import Client, LocalCluster