Improving local LLM performance requires targeted optimization of hardware adaptation:
- GPU Acceleration Program: Use
docker compose --profile local-gpuTo start the container, make sure NVIDIA drivers and CUDA are installed. - CPU Optimization Recommendations: Select the quantized model version (e.g., GGUF format) by
ollama_docker.shScript loads with the addition of the--cpuparameters - Storage Optimization: Model files are recommended to be stored on SSD drives and used when pulling
./scripts/ollama_docker.sh pull <model>:latest-q4Get the lightweight version
note that indocker-compose.ollama.ymlmid-range adjustmentOLLAMA_NUM_PARALLELparameter controls the number of concurrent requests.
This answer comes from the articleSim: Open Source Tools for Rapidly Building and Deploying AI Agent WorkflowsThe
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