CUDA Requires an NVIDIA GPU | Generated by AI
The reason your Lenovo XiaoXin’s GPU can’t be used with CUDA is straightforward: CUDA is NVIDIA’s proprietary technology that only works with NVIDIA GPUs.
Your system has an Intel UHD Graphics (Alder Lake-P GT1) integrated GPU, which is Intel’s graphics processor. CUDA (Compute Unified Device Architecture) is exclusively designed for NVIDIA graphics cards.
Your Options for GPU Computing on Intel Graphics:
- Intel oneAPI / SYCL
- Intel’s equivalent to CUDA
- Works with Intel GPUs (including your UHD Graphics)
- Cross-platform and can target multiple hardware backends
- OpenCL
- Open standard for parallel programming
- Supported by Intel GPUs
- More widely compatible but less optimized than vendor-specific solutions
- Intel Extension for PyTorch
- If you’re doing machine learning/deep learning
- Optimized for Intel hardware (CPUs and GPUs)
Why CUDA Shows as Not Detected:
The script correctly reports “CUDA/NVIDIA drivers not detected” because:
- No NVIDIA GPU is present in your system
- No NVIDIA drivers are installed
- CUDA toolkit (if installed) has nothing to run on
If you need CUDA specifically for certain software or frameworks, you would need a laptop with an NVIDIA discrete GPU (like GeForce RTX, GTX, or professional Quadro/A-series cards).