To confirm that llama.cpp is failing to use your GPU, observe the system behavior during inference. If the CPU utilization remains at or near 100% while GPU memory (VRAM) usage remains flat or at idle levels, the application is performing CPU-only inference. You can verify device detection by executing the command './llama-server --list-devices' in your terminal; if no GPU is returned, the system is not communicating with the hardware.
Comments
Sign in to join the conversation
Sign InNo comments yet. Be the first to share your thoughts!