diff --git a/WINDOWS_INSTALL.bat b/WINDOWS_INSTALL.bat
index c3265b4..6cdb654 100644
--- a/WINDOWS_INSTALL.bat
+++ b/WINDOWS_INSTALL.bat
@@ -263,15 +263,13 @@ if "%MISAKI_LANG%" NEQ "en" (
     )
 )
 
-:: Check GPU vendor
-echo Checking GPU vendor...
-set GPU_VENDOR=unknown
-for /f %%i in ('%PYTHON_CONSOLE_PATH% -c "from abogen.utils import get_gpu_vendor; print(get_gpu_vendor())"') do set GPU_VENDOR=%%i
-echo GPU Vendor: %GPU_VENDOR%
+:: Check for NVIDIA GPU via is_nvidia()
+for /f %%i in ('%PYTHON_CONSOLE_PATH% -c "from abogen.utils import is_nvidia; print(is_nvidia())"') do set IS_NVIDIA=%%i
+echo NVIDIA GPU detected: %IS_NVIDIA%
 
 :: Check if torch is installed with CUDA support
 echo Checking CUDA availability...
-if /I "%GPU_VENDOR%"=="nvidia" (
+if /I "%IS_NVIDIA%"=="true" (
     for /f %%i in ('%PYTHON_CONSOLE_PATH% -c "from torch.cuda import is_available; print(is_available())"') do set cuda_available=%%i
 
     if "%cuda_available%"=="False" (
@@ -287,7 +285,7 @@ if /I "%GPU_VENDOR%"=="nvidia" (
         echo CUDA is available on NVIDIA GPU.
     )
 ) else (
-    echo Non-NVIDIA GPU detected (%GPU_VENDOR%). Skipping PyTorch CUDA installation.
+    echo GPU is not NVIDIA. Skipping PyTorch CUDA installation.
 )
 
 :: Ask user if they want to create a desktop shortcut
diff --git a/abogen/utils.py b/abogen/utils.py
index 4be716c..770644a 100644
--- a/abogen/utils.py
+++ b/abogen/utils.py
@@ -212,31 +212,26 @@ def calculate_text_length(text):
     return char_count
 
 
-def get_gpu_vendor():
-    os_name = platform.system()
-    cmd = None
-    if os_name == "Windows":
-        cmd = "wmic path win32_VideoController get name"
-    elif os_name == "Linux":
-        cmd = "lspci | grep -i 'vga\\|3d\\|display'"
-    
-    if cmd:
-        try:
-            # Call create_process with capture_output=True
-            proc = create_process(cmd, text=True, capture_output=True)
-            output, _ = proc.communicate(timeout=5) # Add a timeout
-            if proc.returncode == 0 and output:
-                output_lower = output.lower()
-                if "nvidia" in output_lower:
-                    print("GPU Vendor: NVIDIA")
-                    return "nvidia"
-                elif "amd" in output_lower or "radeon" in output_lower:
-                    print("GPU Vendor: AMD")
-                    return "amd"
-        except (subprocess.TimeoutExpired, FileNotFoundError, Exception): # Catch more specific exceptions
-            # Log error or handle as appropriate
-            return "unknown" # Fallback in case of any error
-    return "unknown"
+def is_nvidia():
+    try:
+        from torch import cuda # Attempt to import cuda from torch
+        # Check if there are any CUDA-capable devices
+        device_count = cuda.device_count()
+        if device_count == 0:
+            return False
+
+        # Iterate through available devices to find an NVIDIA GPU
+        for i in range(device_count):
+            device_name = cuda.get_device_name(i).lower()
+            print(f"Device {i}: {device_name}")  # Debugging output
+            if 'nvidia' in device_name:
+                return True
+
+        # If loop completes, CUDA devices are present, but none are identified as NVIDIA
+        return False
+    except Exception:
+        # Catch any other exceptions (e.g., CUDA driver issues, unexpected errors)
+        return False
 
 
 def get_gpu_acceleration(enabled):