diff --git a/test/registered/core/test_no_extra_forked_cuda_context.py b/test/registered/core/test_no_extra_forked_cuda_context.py
new file mode 100644
index 000000000..f64633cc0
--- /dev/null
+++ b/test/registered/core/test_no_extra_forked_cuda_context.py
@@ -0,0 +1,137 @@
+import shutil
+import subprocess
+import time
+import unittest
+
+import psutil
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.test_utils import (
+    DEFAULT_SMALL_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+register_cuda_ci(est_time=120, stage="base-b", runner_config="2-gpu-large")
+
+
+class TestTPServerGPUProcesses(CustomTestCase):
+    tp_size = 2
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_SMALL_MODEL_NAME_FOR_TEST
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--tp-size",
+                str(cls.tp_size),
+                "--mem-fraction-static",
+                "0.70",
+                "--disable-cuda-graph",
+                "--disable-piecewise-cuda-graph",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        if hasattr(cls, "process") and cls.process:
+            kill_process_tree(cls.process.pid)
+
+    def test_tp_server_has_only_worker_gpu_processes(self):
+        if shutil.which("nvidia-smi") is None:
+            self.skipTest("nvidia-smi is required for GPU process assertions")
+
+        rows = self._wait_for_server_gpu_processes()
+        gpu_pids = {row["pid"] for row in rows}
+
+        self.assertNotIn(
+            self.process.pid,
+            gpu_pids,
+            f"server parent process unexpectedly holds a GPU context: "
+            f"{self._format_rows(rows)}",
+        )
+        self.assertEqual(
+            len(gpu_pids),
+            self.tp_size,
+            f"TP={self.tp_size} server should have exactly {self.tp_size} "
+            f"GPU worker processes, got {len(gpu_pids)}: {self._format_rows(rows)}",
+        )
+
+    def _wait_for_server_gpu_processes(self):
+        deadline = time.monotonic() + 60
+        stable_since = None
+        last_rows = []
+
+        while time.monotonic() < deadline:
+            tree_pids = self._server_process_tree_pids()
+            rows = [
+                row for row in self._query_gpu_processes() if row["pid"] in tree_pids
+            ]
+            last_rows = rows
+
+            if len({row["pid"] for row in rows}) >= self.tp_size:
+                if stable_since is None:
+                    stable_since = time.monotonic()
+                elif time.monotonic() - stable_since >= 3:
+                    return rows
+            else:
+                stable_since = None
+
+            time.sleep(0.5)
+
+        self.fail(
+            f"Timed out waiting for TP={self.tp_size} GPU worker processes. "
+            f"Last observed rows: {self._format_rows(last_rows)}"
+        )
+
+    def _server_process_tree_pids(self):
+        pids = {self.process.pid}
+        try:
+            parent = psutil.Process(self.process.pid)
+            pids.update(child.pid for child in parent.children(recursive=True))
+        except psutil.NoSuchProcess:
+            pass
+        return pids
+
+    def _query_gpu_processes(self):
+        result = subprocess.run(
+            [
+                "nvidia-smi",
+                "--query-compute-apps=gpu_uuid,pid,process_name",
+                "--format=csv,noheader,nounits",
+            ],
+            check=True,
+            capture_output=True,
+            text=True,
+        )
+
+        rows = []
+        for line in result.stdout.splitlines():
+            fields = [field.strip() for field in line.split(",", maxsplit=2)]
+            if len(fields) != 3:
+                continue
+            gpu_uuid, pid, process_name = fields
+            rows.append(
+                {
+                    "gpu_uuid": gpu_uuid,
+                    "pid": int(pid),
+                    "process_name": process_name,
+                }
+            )
+        return rows
+
+    def _format_rows(self, rows):
+        if not rows:
+            return "[]"
+        return "[" + ", ".join(str(row) for row in rows) + "]"
+
+
+if __name__ == "__main__":
+    unittest.main()