Three key steps are required to achieve GPU acceleration:
- Hardware preparation: Ensure that the device is equipped with NVIDIA GPUs and has the correct drivers installed, and deploy them in advance. NVIDIA Container ToolkitThe
- Startup Parameter Configuration: In the Docker run command, add
--gpus=alltags, and specify the large language model (e.g.OLLAMA_MODEL=llama3.2:3b). Complete sample command:docker run -it --gpus=all -e LLM=ollama -e OLLAMA_MODEL=llama3.2:3b [...] - Performance Verification: Observe the terminal output after generation, which shows the GPU memory usage when normally enabled. Tests have shown that GPU acceleration can increase the speed of slide generation for models such as llama3 by a factor of 2-3.
Note: You need to choose the right model according to the GPU memory capacity, 8GB memory is recommended to use the model below 3B parameter scale.
This answer comes from the articlePresenton: open source AI automatic presentation generation toolThe
May not be reproduced without permission:AI productivity tools " How to use GPU-accelerated generation in Presenton?
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