Local LLM Is Running Very Slowly

What does this problem usually mean?

Slow local inference can be caused by model size, available RAM/VRAM, CPU/GPU use, context length, concurrent workloads or runtime configuration.

What to check first

1. 1

   Compare model size with available RAM and GPU memory.

2. 2

   Check whether the runtime is using the expected hardware acceleration.

3. 3

   Reduce context length or test with a smaller model to isolate resource pressure.

4. 4

   Close competing heavy workloads and repeat the same prompt.

5. 5

   Measure before and after each change so the improvement is verified.

Important: verify the result

Change one thing at a time and repeat the same test afterwards. A successful command is not proof of a fix; verify that the original failure can no longer be reproduced.

Note: Provider features, limits and versions can change. For version-specific questions, always verify the current vendor documentation.