CUDA GPU acceleration is unavailable because the software requires three conditions to be met simultaneously: an NVIDIA GPU, an up-to-date NVIDIA driver supporting CUDA 12.8+, and correctly installed CUDA Toolkit 12.8+ / cuDNN 9.11+ with proper PATH environment variables.
Please check the following in order:
Confirm NVIDIA GPU and driver support
Open Command Prompt (CMD) and run:
nvidia-smi
If this fails or shows no GPU, your machine does not have a usable NVIDIA GPU (AMD/Intel GPUs do not support CUDA here).
If it succeeds, check the "Driver Version" and "CUDA Version" shown at the top. The driver must support CUDA 12.8 or higher; if it is lower, update your NVIDIA driver from the official NVIDIA website.
Confirm CUDA Toolkit is installed
Run in CMD:
nvcc -V
If this fails, CUDA Toolkit is not installed or not on PATH. Install CUDA Toolkit 12.8 or newer.
- Install cuDNN 9.11+
CUDA alone is not enough — cuDNN 9.11 or later must also be installed. - Verify environment variables
Ensure the system PATH variable contains the CUDA bin and lib directories (e.g., C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin). After adding them, restart the software. - Restart and retry
After all installations, fully close and reopen pyVideoTrans, then enable the CUDA option again.
Note: CUDA acceleration only affects local ASR/TTS channels (e.g., faster-whisper, openai-whisper, Qwen3-TTS). Online cloud APIs do not use local GPU.
If the issue persists after the above steps, please provide the latest log file from the logs/ folder under the software directory (copy the last ~30 lines of error output), plus confirm your GPU model and driver version.
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