@@ -34,7 +34,7 @@
     build_dynamic_lib_subprocess_command,
     parse_dynamic_lib_subprocess_payload,
 )
-from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import SUPPORTED_LIBNAMES
+from cuda.pathfinder._dynamic_libs.supported_nvidia_libs import ALL_AVAILABLE_LIBNAMES
 from cuda.pathfinder._utils.platform_aware import IS_WINDOWS
 
 if TYPE_CHECKING:
@@ -43,7 +43,6 @@
 # All libnames recognized by load_nvidia_dynamic_lib, across all categories
 # (CTK, third-party, driver).
 _ALL_KNOWN_LIBNAMES: frozenset[str] = frozenset(LIB_DESCRIPTORS)
-_ALL_SUPPORTED_LIBNAMES: frozenset[str] = frozenset(SUPPORTED_LIBNAMES)
 _PLATFORM_NAME = "Windows" if IS_WINDOWS else "Linux"
 _CANARY_PROBE_TIMEOUT_SECONDS = 10.0
 
@@ -307,9 +306,9 @@ def load_nvidia_dynamic_lib(libname: str) -> LoadedDL:
         )
     if libname not in _ALL_KNOWN_LIBNAMES:
         raise DynamicLibUnknownError(f"Unknown library name: {libname!r}. Known names: {sorted(_ALL_KNOWN_LIBNAMES)}")
-    if libname not in _ALL_SUPPORTED_LIBNAMES:
+    if libname not in ALL_AVAILABLE_LIBNAMES:
         raise DynamicLibNotAvailableError(
             f"Library name {libname!r} is known but not available on {_PLATFORM_NAME}. "
-            f"Supported names on {_PLATFORM_NAME}: {sorted(_ALL_SUPPORTED_LIBNAMES)}"
+            f"Supported names on {_PLATFORM_NAME}: {sorted(ALL_AVAILABLE_LIBNAMES)}"
         )
     return _load_lib_no_cache(libname)
@@ -32,6 +32,15 @@
     desc.name for desc in _CTK_DESCRIPTORS if desc.windows_dlls and not desc.linux_sonames
 )
 
+if not IS_WINDOWS:
+    ALL_AVAILABLE_LIBNAMES = frozenset(desc.name for desc in DESCRIPTOR_CATALOG if desc.linux_sonames)
+else:
+    assert IS_WINDOWS_X64 or IS_WINDOWS_ARM64
+    _current_windows_arch = "x64" if IS_WINDOWS_X64 else "arm64"
+    ALL_AVAILABLE_LIBNAMES = frozenset(
+        desc.name for desc in DESCRIPTOR_CATALOG if _current_windows_arch in desc.supported_windows_arch
+    )
+
 SUPPORTED_LIBNAMES_LINUX = SUPPORTED_LIBNAMES_COMMON + SUPPORTED_LIBNAMES_LINUX_ONLY
 SUPPORTED_LIBNAMES_WINDOWS_X64 = tuple(desc.name for desc in _CTK_DESCRIPTORS if "x64" in desc.supported_windows_arch)
 SUPPORTED_LIBNAMES_WINDOWS_ARM64 = tuple(
 
@@ -26,8 +26,8 @@
 
 
 @pytest.mark.agent_authored(model="gpt-5")
-def test_loader_uses_platform_supported_libnames():
-    assert frozenset(supported_nvidia_libs.SUPPORTED_LIBNAMES) == load_nvidia_dynamic_lib_module._ALL_SUPPORTED_LIBNAMES
+def test_loader_uses_all_available_libnames():
+    assert supported_nvidia_libs.ALL_AVAILABLE_LIBNAMES == load_nvidia_dynamic_lib_module.ALL_AVAILABLE_LIBNAMES
 
 
 def test_supported_libnames_linux_sonames_consistency():
@@ -95,7 +95,7 @@ def test_unknown_libname_raises_dynamic_lib_unknown_error():
 def test_known_but_platform_unavailable_libname_raises_dynamic_lib_not_available_error(monkeypatch):
     load_nvidia_dynamic_lib.cache_clear()
     monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_KNOWN_LIBNAMES", frozenset(("known_but_unavailable",)))
-    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_ALL_SUPPORTED_LIBNAMES", frozenset())
+    monkeypatch.setattr(load_nvidia_dynamic_lib_module, "ALL_AVAILABLE_LIBNAMES", frozenset())
     monkeypatch.setattr(load_nvidia_dynamic_lib_module, "_PLATFORM_NAME", "TestOS")
     with pytest.raises(
         DynamicLibNotAvailableError,