📄️ Architecture
Ollama is built on a lightweight, efficient architecture designed to run large language models locally with minimal resource overhead. The system employs a client-server model where the Ollama daemon manages model loading, inference, and resource allocation.
📄️ Installation
Ubuntu Installation
📄️ Configuration
Ollama configuration is managed through environment variables and configuration files. The primary configuration affects model storage location, server binding, and resource allocation.
📄️ integration
Ollama provides multiple integration options including REST API, command-line interface, and language-specific SDKs. The integration framework supports both synchronous and streaming responses for ## real-time applications.
📄️ Monitoring
Effective monitoring ensures optimal performance and helps identify resource bottlenecks. Ollama provides built-in metrics and supports integration with external monitoring systems.
📄️ Maintenance
Regular maintenance ensures optimal performance and prevents storage issues. Establish routines for model cleanup, cache management, and performance optimization.
📄️ Support
Ollama provides comprehensive support through documentation, community forums, and troubleshooting resources to help resolve issues and optimize performance.
📄️ Upgrade
Upgrading Ollama requires careful planning to preserve existing models and configurations. The upgrade process is generally straightforward but varies depending on the installation method.