Sim Studio offers flexible and diverse deployment options, including: minimalist Docker deployment via NPM commands, professional-grade container orchestration with Docker Compose, VS Code development container integration, and a fully manual configuration mode. Of particular note is the platform's support for local model deployment, which allows users to choose between NVIDIA GPU-accelerated or CPU-only environments to run according to hardware conditions, and to quickly load open source big models such as LLaMA via OLLAMA scripts. This multi-dimensional deployment strategy enables Sim to adapt to different application scenarios from individual developers to enterprise level.
This answer comes from the articleSim: Open Source Tools for Rapidly Building and Deploying AI Agent WorkflowsThe
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