diff --git a/studio/install_python_stack.py b/studio/install_python_stack.py
index 2883f30b20..65530a3f00 100644
--- a/studio/install_python_stack.py
+++ b/studio/install_python_stack.py
@@ -1162,6 +1162,11 @@ def _has_usable_nvidia_gpu() -> bool:
     timeout, driver initialisation race). If either probe confirms an
     NVIDIA GPU the function returns True so _has_rocm_gpu() is blocked.
 
+    On Windows nvidia-smi.exe is not always on PATH, so fall back to the two
+    fixed driver locations install.ps1 / setup.ps1 already probe. Without this
+    an AMD iGPU + NVIDIA dGPU host whose PATH misses nvidia-smi looks
+    NVIDIA-free here and gets routed to the ROCm wheels.
+
     CUDA_VISIBLE_DEVICES set to "" or "-1" hides every NVIDIA device (mixed
     AMD+NVIDIA hosts steering work to the AMD card); neither probe honours
     that env var, so check it first and report the GPU as not usable. Unset
@@ -1170,8 +1175,8 @@ def _has_usable_nvidia_gpu() -> bool:
     cvd = os.environ.get("CUDA_VISIBLE_DEVICES")
     if cvd is not None and cvd.strip() in ("", "-1"):
         return False
-    exe = shutil.which("nvidia-smi")
-    if exe:
+
+    def _lists_a_gpu(exe: str) -> bool:
         try:
             result = subprocess.run(
                 [exe, "-L"],
@@ -1180,10 +1185,42 @@ def _has_usable_nvidia_gpu() -> bool:
                 text = True,
                 timeout = 10,
             )
-            if result.returncode == 0 and "GPU " in result.stdout:
-                return True
         except Exception:
-            pass
+            return False
+        return result.returncode == 0 and "GPU " in result.stdout
+
+    # Try every candidate until one lists a GPU, rather than committing to the
+    # first executable found. A stale or driverless nvidia-smi on PATH exits
+    # non-zero listing nothing; stopping there would report the host as
+    # NVIDIA-free and route it into _ensure_rocm_torch() even though a working
+    # driver binary sits at a fixed location. install.ps1 and setup.ps1 both
+    # gate their fallback on the GPU check failing, not on the PATH lookup
+    # missing, so mirror that.
+    candidates = []
+    _path_exe = shutil.which("nvidia-smi")
+    if _path_exe:
+        candidates.append(_path_exe)
+    if IS_WINDOWS:
+        candidates.extend(
+            (
+                os.path.join(
+                    os.environ.get("ProgramFiles", r"C:\Program Files"),
+                    "NVIDIA Corporation",
+                    "NVSMI",
+                    "nvidia-smi.exe",
+                ),
+                os.path.join(
+                    os.environ.get("SystemRoot", r"C:\Windows"),
+                    "System32",
+                    "nvidia-smi.exe",
+                ),
+            )
+        )
+    for _candidate in candidates:
+        if _candidate != _path_exe and not os.path.isfile(_candidate):
+            continue
+        if _lists_a_gpu(_candidate):
+            return True
     # Fallback: the NVIDIA driver exposes one subdirectory per GPU under
     # /proc/driver/nvidia/gpus/ on Linux regardless of nvidia-smi state.
     if sys.platform != "win32":
diff --git a/tests/studio/install/test_nvidia_smi_candidate_probing.py b/tests/studio/install/test_nvidia_smi_candidate_probing.py
new file mode 100644
index 0000000000..c33c551417
--- /dev/null
+++ b/tests/studio/install/test_nvidia_smi_candidate_probing.py
@@ -0,0 +1,119 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved.
+
+"""_has_usable_nvidia_gpu must keep probing after an unusable nvidia-smi.
+
+A stale or driverless nvidia-smi on PATH exits non-zero and lists no GPU.
+Treating the first executable found as the answer reports a mixed AMD+NVIDIA
+Windows host as NVIDIA-free, which routes it into _ensure_rocm_torch() and
+replaces a working CUDA stack with ROCm wheels. install.ps1 and setup.ps1 both
+gate their fixed-location fallback on the GPU check failing rather than on the
+PATH lookup missing; this pins the Python helper to the same rule.
+
+The stubs are real executables run through the real subprocess call, so the
+test exercises the actual control flow rather than a mocked return value.
+"""
+
+import importlib.util
+import os
+import pathlib
+import sys
+import types
+
+import pytest
+
+_REPO_ROOT = pathlib.Path(__file__).resolve().parents[3]
+_STUDIO = _REPO_ROOT / "studio"
+_SRC = _STUDIO / "install_python_stack.py"
+
+_STALE = 'echo "No devices were found"; exit 9'
+_WORKING = 'echo "GPU 0: NVIDIA H100 (UUID: GPU-abc)"; exit 0'
+
+
+def _load_module():
+    # install_python_stack imports backend.utils.wheel_utils, which resolves
+    # only with studio/ on sys.path. That is how the installer invokes it.
+    if str(_STUDIO) not in sys.path:
+        sys.path.insert(0, str(_STUDIO))
+    spec = importlib.util.spec_from_file_location("_ips_probe_under_test", _SRC)
+    module = importlib.util.module_from_spec(spec)
+    sys.modules["_ips_probe_under_test"] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+def _write_stub(path: pathlib.Path, body: str) -> None:
+    path.parent.mkdir(parents = True, exist_ok = True)
+    # Not /usr/bin/env: PATH is narrowed to the stub directory below, so env
+    # would not find an interpreter.
+    path.write_text("#!/bin/bash\n" + body + "\n")
+    path.chmod(0o755)
+
+
+@pytest.fixture
+def probe(tmp_path, monkeypatch):
+    """Run _has_usable_nvidia_gpu as if on Windows, with stubbed nvidia-smi."""
+
+    def _run(
+        path_smi: str | None,
+        fixed_smi: str | None,
+        cuda_visible_devices: str | None = None,
+    ) -> bool:
+        path_dir = tmp_path / "pathbin"
+        path_dir.mkdir(exist_ok = True)
+        if path_smi is not None:
+            _write_stub(path_dir / "nvidia-smi", path_smi)
+        program_files = tmp_path / "ProgramFiles"
+        if fixed_smi is not None:
+            _write_stub(
+                program_files / "NVIDIA Corporation" / "NVSMI" / "nvidia-smi.exe",
+                fixed_smi,
+            )
+        monkeypatch.setenv("PATH", str(path_dir))
+        monkeypatch.setenv("ProgramFiles", str(program_files))
+        monkeypatch.setenv("SystemRoot", str(tmp_path / "Windows"))
+        if cuda_visible_devices is None:
+            monkeypatch.delenv("CUDA_VISIBLE_DEVICES", raising = False)
+        else:
+            monkeypatch.setenv("CUDA_VISIBLE_DEVICES", cuda_visible_devices)
+        module = _load_module()
+        monkeypatch.setattr(module, "IS_WINDOWS", True)
+        # A real NVIDIA host has /proc/driver/nvidia/gpus, and the helper's
+        # Linux-only fallback would then answer True for every case and mask
+        # what the Windows path did. Present as win32 to isolate it.
+        monkeypatch.setattr(module, "sys", types.SimpleNamespace(platform = "win32"))
+        return module._has_usable_nvidia_gpu()
+
+    return _run
+
+
+def test_stale_path_nvidia_smi_still_reaches_the_fixed_locations(probe):
+    # The regression: a driverless nvidia-smi on PATH used to end the search.
+    assert probe(_STALE, _WORKING) is True
+
+
+def test_absent_path_nvidia_smi_reaches_the_fixed_locations(probe):
+    assert probe(None, _WORKING) is True
+
+
+def test_working_path_nvidia_smi_is_enough(probe):
+    assert probe(_WORKING, None) is True
+
+
+def test_no_nvidia_smi_anywhere_reports_no_gpu(probe):
+    assert probe(None, None) is False
+
+
+def test_stale_everywhere_reports_no_gpu(probe):
+    # Every candidate answering "no GPU" must stay False, or an AMD-only host
+    # with a leftover nvidia-smi would be denied the ROCm wheels.
+    assert probe(_STALE, _STALE) is False
+
+
+@pytest.mark.parametrize("hidden", ["", "-1", "  "])
+def test_cuda_visible_devices_hidden_wins_over_a_working_probe(probe, hidden):
+    assert probe(_WORKING, _WORKING, cuda_visible_devices = hidden) is False
+
+
+def test_cuda_visible_devices_listing_a_device_does_not_block_detection(probe):
+    assert probe(_WORKING, None, cuda_visible_devices = "0") is True